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Its slicer allows you to reduce a complicated program just to the parts related for a specific task (e.g., the generation of a single or collection of plots, a significance test, ...). The dataflow analysis provides you with a detailed view on the semantics of the R code which can greatly improve other analyses. To use *flowR*, check out the [Visual Studio Code extension](https://marketplace.visualstudio.com/items?itemName=code-inspect.vscode-flowr), the [RStudio Addin (\u2b505)](https://github.com/flowr-analysis/rstudio-addin-flowr), the [Docker image](https://hub.docker.com/r/eagleoutice/flowr), or the [R package (\u2b503)](https://github.com/flowr-analysis/flowr-r-adapter).", "stars": "87"}, {"name": "goodpractice", "url": "https://docs.ropensci.org/goodpractice/", "description": "Analyses the source code for R packages and provides best-practice recommendations."}, {"name": "lintr", "url": "https://github.com/jimhester/lintr", "description": "Static Code Analysis for R.", "stars": "1.3k"}, {"name": "R Language Server", "url": "https://github.com/REditorSupport/languageserver/", "description": "Provides code completion, refactoring, folding, diagnostics (with lintr), and more for R.", "stars": "652"}, {"name": "rco", "url": "https://jcrodriguez1989.github.io/rco/", "description": "Performance optimizer for R code (with GUI)."}, {"name": "styler", "url": "https://styler.r-lib.org", "description": "Formatting of R source code files and pretty-printing of R code."}, {"name": "Regal", "url": "https://github.com/styrainc/regal", "description": "Regal is a linter for the policy language Rego. 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It found semver violations in [more than 1 in 6 of the top 1000 most-downloaded crates](https://predr.ag/blog/semver-violations-are-common-better-tooling-is-the-answer/) on crates.io."}, {"name": "cargo-show-asm", "url": "https://github.com/pacak/cargo-show-asm", "description": "cargo subcommand showing the assembly, LLVM-IR and MIR generated for Rust code", "stars": "929"}, {"name": "cargo-spellcheck", "url": "https://github.com/drahnr/cargo-spellcheck", "description": "Checks all your documentation for spelling and grammar mistakes with hunspell (ready) and languagetool (preview)", "stars": "359"}, {"name": "clippy", "url": "https://rust-lang.github.io/rust-clippy", "description": "A code linter to catch common mistakes and improve your Rust code."}, {"name": "diff.rs", "url": "https://diff.rs", "description": "Web application (WASM) to render a diff between Rust crate versions."}, {"name": "dylint", "url": "https://www.trailofbits.com/post/write-rust-lints-without-forking-clippy", "description": "A tool for running Rust lints from dynamic libraries. 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Remove background, change background and showcase products."}, {"name": "PhotoGuruAI", "url": "https://photoguruai.com/", "description": "Create professional AI Headshots in various styles."}, {"name": "Avatar AI", "url": "https://avatarai.me/", "description": "Create your own AI-generated avatars."}, {"name": "ClipDrop", "url": "https://clipdrop.co/", "description": "Create professional visuals without a photo studio, powered by [stability.ai](https://stability.ai/)."}, {"name": "Lensa", "url": "https://prisma-ai.com/lensa", "description": "An all-in-one image editing app that includes the generation of personalized avatars using Stable Diffusion."}, {"name": "RunDiffusion", "url": "https://rundiffusion.com/", "description": "Cloud-based workspace for creating AI-generated art."}, {"name": "Human Generator", "url": "https://generated.photos/human-generator", "description": "AI generator or realistic looking photos of humans."}, {"name": "VectorArt.ai", "url": "https://vectorart.ai", "description": "Create vector images with AI."}, {"name": "StockPhotoAI.net", "url": "https://www.stockphotoai.net/?ref=mahseema-awesome-ai-tools", "description": "Great stock photos, made for you."}, {"name": "Room Reinvented", "url": "https://roomreinvented.com", "description": "Transform your room effortlessly with Room Reinvented! Upload a photo and let AI create over 30 stunning interior styles. Elevate your space today."}, {"name": "Gensbot", "url": "https://gensbot.com", "description": "Gensbot uses AI to craft personalised printed merchandise. One prompt creates one unique product to fit your needs."}, {"name": "PlantPhotoAI", "url": "https://www.plantphotoai.com/", "description": "free AI-generated plant images"}, {"name": "RepublicLabs.AI", "url": "https://republiclabs.ai/", "description": "multi-model simultaneous generation from a single prompt, fully unrestricted and packed with the latest greatest AI models."}, {"name": "Black Headshots", "url": "https://www.blackheadshots.com", "description": "AI headshots generator for black professionals"}, {"name": "Pixvify AI", "url": "https://pixvify.com/", "description": "Free realistic AI photo generator platform"}, {"name": "Pawtrait", "url": "https://www.pawtrait.art/", "description": "AI Pet Portraits"}, {"name": "iColoring", "url": "https://icoloring.ai", "description": "Free AI Coloring Pages Generator"}, {"name": "Suit me Up", "url": "https://suitmeup.pictures/", "description": "Generate pictures of you wearing a suit with AI."}, {"name": "AI Photo Forge", "url": "https://aiphotoforge.com/", "description": "A Telegram bot to generate AI pictures of you."}, {"name": "AI Boost", "url": "https://boost.pictures/", "description": "All-in-one service for creating and editing images with AI: upscale images, swap faces, generate new visuals and avatars, try on outfits, reshape body contours, change backgrounds, retouch faces, and even test out tattoos."}, {"name": "PlantTattoosAI", "url": "https://www.planttattoosai.com/", "description": "Plant and flower tattoos designs generator trained on real botanicals."}], "notes": [], "source": "Ai Tools"}, {"name": "Ai Tools \u2014 Graphic design", "entries": [{"name": "Brandmark", "url": "https://brandmark.io/", "description": "AI-based logo design tool."}, {"name": "Gamma", "url": "https://gamma.app/", "description": "Create beautiful presentations and webpages with none of the formatting and design work."}, {"name": "Microsoft Designer", "url": "https://designer.microsoft.com/", "description": "Stunning designs in a flash."}, {"name": "SVGStud.io", "url": "https://svgstud.io/", "description": "AI-based SVG Generation and Semantic Seach"}, {"name": "Text2Infographic", "url": "https://text2infographic.com/", "description": "AI infographic generator and editor."}, {"name": "Seede.ai", "url": "https://seede.ai/", "description": "Create a stunning poster in just 1 minute with Seede."}, {"name": "Magic Patterns", "url": "https://www.magicpatterns.com/", "description": "AI-based UI builder with Figma export and React code generation."}], "notes": [], "source": "Ai Tools"}, {"name": "Ai Tools \u2014 Image libraries", "entries": [{"name": "Lexica", "url": "https://lexica.art/", "description": "Stable Diffusion search engine."}, {"name": "Libraire", "url": "https://libraire.ai/", "description": "The largest library of AI-generated images."}, {"name": "KREA", "url": "https://www.krea.ai/", "description": "Explore millions of AI-generated images and create collections of prompts. Featuring Stable Diffusion generations."}, {"name": "OpenArt", "url": "https://openart.ai/", "description": "Search 10M+ of prompts, and generate AI art via Stable Diffusion, DALL\u00b7E 2."}, {"name": "Phygital", "url": "https://app.phygital.plus/", "description": "Built-in templates for generating or editing any pictures. Moreover, you can create your own design."}, {"name": "Canva", "url": "https://www.canva.com/ai-image-generator/", "description": "Generating AI Images."}], "notes": [], "source": "Ai Tools"}, {"name": "Ai Tools \u2014 Model libraries", "entries": [{"name": "Civitai", "url": "https://civitai.com/", "description": "Community-driven AI model sharing tool."}, {"name": "Stable Diffusion Models", "url": "https://rentry.org/sdmodels", "description": "A comprehensive list of Stable Diffusion checkpoints on rentry.org."}], "notes": [], "source": "Ai Tools"}, {"name": "Ai Tools \u2014 Stable Diffusion resources", "entries": [{"name": "Stable Horde", "url": "https://stablehorde.net/", "description": "A crowdsourced distributed cluster of Stable Diffusion workers."}, {"name": "PublicPrompts", "url": "https://publicprompts.art/", "description": "A collection of free prompts for Stable Diffusion."}, {"name": "Hugging Face Diffusion Models Course", "url": "https://github.com/huggingface/diffusion-models-class", "description": "Python materials for the online course on diffusion models by [@huggingface](https://github.com/huggingface).", "stars": "4.2k"}, {"name": "RunwayML", "url": "https://runwayml.com/", "description": "Magical AI tools, realtime collaboration, precision editing, and more. Your next-generation content creation suite."}, {"name": "Synthesia", "url": "https://www.synthesia.io/", "description": "Create videos from plain text in minutes."}, {"name": "Rephrase AI", "url": "https://www.rephrase.ai/", "description": "Rephrase's technology enables hyper-personalized video creation at scale that drive engagement and business efficiencies."}, {"name": "Hour One", "url": "https://hourone.ai/", "description": "Turn text into video, featuring virtual presenters, automatically."}, {"name": "D-ID", "url": "https://www.d-id.com/", "description": "Create and interact with talking avatars at the touch of a button."}, {"name": "ShortVideoGen", "url": "https://shortgen.video/", "description": "Create short videos with audio using text prompts."}, {"name": "Clipwing", "url": "https://clipwing.pro/", "description": "A tool for cutting long videos into dozens of short clips."}, {"name": "Recast Studio", "url": "https://recast.studio", "description": "AI powered podcast marketing assistant."}, {"name": "Based AI", "url": "https://www.basedlabs.ai/", "description": "AI Intuitive Interface for Video creating"}, {"name": "klingai", "url": "https://app.klingai.com/global/", "description": "AI creative studio boasts AI image and video generation capabilities."}, {"name": "Sisif", "url": "https://sisif.ai/", "description": "AI Video Generator: Turn Text into Stunning Videos in Seconds"}], "notes": [], "source": "Ai Tools"}, {"name": "Ai Tools \u2014 Animation", "entries": [], "notes": [], "source": "Ai Tools"}, {"name": "Ai Tools \u2014 AI Voice Cloning", "entries": [{"name": "Descript Overdub", "url": "https://www.descript.com/overdub", "description": "[Review](https://theresanai.com/descript-overdub) - Seamlessly integrates with Descript\u2019s transcription and editing tools, ideal for content creators needing quick voiceovers."}, {"name": "Respeecher", "url": "https://www.respeecher.com/", "description": "[Review](https://theresanai.com/respeecher) - A professional tool widely used in the entertainment industry to create emotion-rich, realistic voice clones."}, {"name": "ElevenLabs", "url": "https://elevenlabs.io/", "description": "[Review](https://theresanai.com/elevenlabs) - Known for ultra-realistic voice cloning and emotion modeling, setting a new standard in AI-driven voice synthesis."}, {"name": "Resemble AI", "url": "https://www.resemble.ai/", "description": "[Review](https://theresanai.com/resemble-ai) - Offers real-time voice synthesis with customization options, making it versatile for both developers and creatives."}, {"name": "Murf AI", "url": "https://murf.ai/", "description": "[Review](https://theresanai.com/murf) - User-friendly platform for quick, high-quality voiceovers, favored for commercial and marketing applications."}, {"name": "iSpeech", "url": "https://www.ispeech.org/", "description": "[Review](https://theresanai.com/ispeech) - A versatile solution for corporate applications with support for a wide array of languages and voices."}, {"name": "Veritone Voice", "url": "https://www.veritone.com/solutions/voice/", "description": "[Review](https://theresanai.com/veritone-voice) - Focuses on maintaining brand consistency with highly customizable voice cloning used in media and entertainment."}, {"name": "Microsoft Azure Neural TTS", "url": "https://azure.microsoft.com/en-us/services/cognitive-services/text-to-speech/", "description": "Review - Scalable and highly customizable, ideal for integration into enterprise applications."}, {"name": "WellSaid Labs", "url": "https://www.wellsaidlabs.com/", "description": "[Review](https://theresanai.com/wellsaid-labs) - Gaining traction for its natural-sounding voiceovers, particularly in corporate training and e-learning."}, {"name": "Lovo.ai", "url": "https://www.lovo.ai/", "description": "[Review](https://theresanai.com/lovo-ai) - A compelling choice for creative professionals, especially useful in ads and explainer videos."}, {"name": "Zenmic.com", "url": "https://zenmic.com", "description": "An app to generate podcast eposode ( script + Audio ) using AI."}, {"name": "Audify AI", "url": "https://audify-ai.ahmedtokyo.com", "description": "User-friendly platform for voice synthesis with customizable options and instructions, making it versatile for both developers and creatives."}, {"name": "TTS WebUI", "url": "https://github.com/rsxdalv/tts-generation-webui", "description": "Open Source generative AI App for voice and music, supporting 15+ TTS models.", "stars": "2.8k"}, {"name": "AInterview.space", "url": "https://ainterview.space", "description": "Create AI-hosted podcast interviews. Choose a topic, and Joe (the AI host) will research, host the interview, and generate your episode as audio or video."}], "notes": [], "source": "Ai Tools"}, {"name": "Ai Tools \u2014 AI Music Generators", "entries": [{"name": "Splash Pro", "url": "https://www.splashpro.com", "description": "[Review](https://theresanai.com/splash-pro) - A versatile platform offering intuitive music creation tools for all skill levels."}, {"name": "AIVA", "url": "https://www.aiva.ai", "description": "[Review](https://theresanai.com/aiva) - AI composer specializing in classical and cinematic music creation."}, {"name": "Mubert", "url": "https://www.mubert.com", "description": "[Review](https://theresanai.com/mubert) - Real-time generative music tailored for different use cases."}, {"name": "Soundraw", "url": "https://soundraw.io", "description": "[Review](https://theresanai.com/soundraw) - Allows users to customize music compositions based on mood and style."}, {"name": "Beatoven.ai", "url": "https://www.beatoven.ai", "description": "[Review](https://theresanai.com/beatoven-ai) - AI-driven music generation focused on evoking specific emotions."}, {"name": "Boomy", "url": "https://www.boomy.com", "description": "[Review](https://theresanai.com/boomy) - Democratizes music creation with quick track generation and monetization."}, {"name": "Ecrett Music", "url": "https://www.ecrettmusic.com", "description": "[Review](https://theresanai.com/ecrett-music) - Designed for video creators, offering royalty-free music."}, {"name": "Loudly", "url": "https://www.loudly.com", "description": "[Review](https://theresanai.com/loudly) - Combines AI music generation with a social platform for collaboration."}, {"name": "Soundful", "url": "https://www.soundful.com", "description": "[Review](https://theresanai.com/soundful) - High-quality, royalty-free music for content creators."}, {"name": "AI Music Generator", "url": "https://www.aisongmaker.io", "description": "[Review](https://www.producthunt.com/products/ai-song-maker) - Effortlessly Create Songs with AI"}], "notes": [], "source": "Ai Tools"}, {"name": "Ai Tools \u2014 Marketing AI Tools", "entries": [], "notes": [], "source": "Ai Tools"}, {"name": "Ai Tools \u2014 Phone Calls", "entries": [{"name": "AICaller.io", "url": "https://aicaller.io/?ref=v", "description": "AICaller is a simple-to-use automated bulk calling solution that uses the latest Generative AI technology to trigger phone calls for you and get things done. It can do things like lead qualification, data gathering over phone calls, and much more. It comes with a powerful API, low cost pricing and free trial."}, {"name": "AI Voice Agents", "url": "https://diallink.com/", "description": "AI Voice Agents for business calls and routine tasks, powered by DialLink cloud phone system."}, {"name": "Cald.ai", "url": "https://cald.ai", "description": "AI based calling agents for outbound and inbound phone calls."}, {"name": "Rosie", "url": "https://heyrosie.com/", "description": "AI Phone Answering Service"}], "notes": [], "source": "Ai Tools"}, {"name": "Ai Tools \u2014 Speech", "entries": [{"name": "Eleven Labs", "url": "https://beta.elevenlabs.io/", "description": "AI voice generator."}, {"name": "Resemble AI", "url": "https://www.resemble.ai/", "description": "AI voice generator and voice cloning for text to speech."}, {"name": "WellSaid", "url": "https://wellsaidlabs.com/", "description": "Convert text to voice in real time."}, {"name": "Play.ht", "url": "https://play.ht/", "description": "AI Voice Generator. Generate realistic Text to Speech voice over online with AI. Convert text to audio."}, {"name": "Coqui", "url": "https://coqui.ai/", "description": "Generative AI for Voice."}, {"name": "podcast.ai", "url": "https://podcast.ai/", "description": "A podcast that is entirely generated by artificial intelligence, powered by Play.ht text-to-voice AI."}, {"name": "VALL-E X", "url": "https://vallex-demo.github.io/", "description": "A cross-lingual neural codec language model for cross-lingual speech synthesis."}, {"name": "TorToiSe", "url": "https://github.com/neonbjb/tortoise-tts", "description": "A multi-voice text-to-speech system trained with an emphasis on quality. #opensource", "stars": "15k"}, {"name": "Bark", "url": "https://github.com/suno-ai/bark", "description": "A transformer-based text-to-audio model. #opensource", "stars": "39k"}, {"name": "CustomPod.io", "url": "https://custompod.io", "description": "Generate daily news podcasts only on the topics you care about."}, {"name": "EKHOS AI", "url": "https://ekhos.ai", "description": "An AI speech-to-text software with powerful proofreading features. Transcribe most audio or video files with real-time recording and transcription."}], "notes": [], "source": "Ai Tools"}, {"name": "Ai Tools \u2014 Music", "entries": [{"name": "Harmonai", "url": "https://www.harmonai.org/", "description": "We are a community-driven organization releasing open-source generative audio tools to make music production more accessible and fun for everyone."}, {"name": "Mubert", "url": "https://mubert.com/", "description": "A royalty-free music ecosystem for content creators, brands and developers."}, {"name": "MusicLM", "url": "https://google-research.github.io/seanet/musiclm/examples/", "description": "A model by Google Research for generating high-fidelity music from text descriptions."}, {"name": "Remusic", "url": "https://remusic.ai/en", "description": "AI Music Generator and Music Learning Platform Online Free."}, {"name": "Taranify", "url": "https://www.taranify.com", "description": "Using AI, Taranify finds you Spotify playlists, Netflix shows, Books & Foods you'd enjoy when you don't exactly know what you want."}, {"name": "Diagram", "url": "https://diagram.com/", "description": "Magical new ways to design products."}, {"name": "PromptBase", "url": "https://promptbase.com/", "description": "A marketplace for buying and selling quality prompts for DALL\u00b7E, GPT-3, Midjourney, Stable Diffusion."}, {"name": "This Image Does Not Exist", "url": "https://thisimagedoesnotexist.com/", "description": "Test your ability to tell if an image is human or computer generated."}, {"name": "Have I Been Trained?", "url": "https://haveibeentrained.com/", "description": "Check if your image has been used to train popular AI art models."}, {"name": "AI Dungeon", "url": "https://aidungeon.io/", "description": "A text-based adventure-story game you direct (and star in) while the AI brings it to life."}, {"name": "Clickable", "url": "https://www.clickable.so/", "description": "Generate ads in seconds with AI. Beautiful, brand-consistent, and highly converting ads for all marketing channels."}, {"name": "Scale Spellbook", "url": "https://scale.com/spellbook", "description": "Build, compare, and deploy large language model apps with Scale Spellbook."}, {"name": "Scenario", "url": "https://www.scenario.com/", "description": "AI-generated gaming assets."}, {"name": "Teleprompter", "url": "https://github.com/danielgross/teleprompter", "description": "An on-device AI for your meetings that listens to you and makes charismatic quote suggestions.", "stars": "333"}, {"name": "FinChat", "url": "https://finchat.io/", "description": "Using AI, FinChat generates answers to questions about public companies and investors."}, {"name": "Petals", "url": "https://github.com/bigscience-workshop/petals", "description": "BitTorrent style platform for running AI models in a distributed way.", "stars": "9.8k"}, {"name": "Shotstack Workflows", "url": "https://shotstack.io/product/workflows/", "description": "No-code, automation workflow tool for building Generative AI media applications."}, {"name": "Aispect", "url": "https://aispect.io/?ref=mahseema-awesome-ai-tools", "description": "New way to experience events."}, {"name": "PressPulse AI", "url": "https://www.presspulse.ai/?ref=mahseema-awesome-ai-tools", "description": "Get personalized media coverage leads every morning."}, {"name": "GummySearch", "url": "https://gummysearch.com/?ref=mahseema-awesome-ai-tools", "description": "AI-based customer research via Reddit. Discover problems to solve, sentiment on current solutions, and people who want to buy your product."}, {"name": "Taplio", "url": "https://taplio.com/?ref=mahseema-awesome-ai-tools", "description": "The all-in-one, AI-powered LinkedIn tool."}, {"name": "PromptPal", "url": "https://promptpal.net", "description": "Search for prompts and bots, then use them with your favorite AI. All in one place."}, {"name": "FairyTailAI", "url": "https://fairytailai.com/", "description": "Personalized bedtime story generator"}, {"name": "Myriad", "url": "https://www.namepepper.com/free-tools/ai-content-prompt-tool", "description": "Scale your content creation and get the best writing from ChatGPT, Copilot, and other AIs. Build and fine-tune prompts for any kind of content, from long-form to ads and email."}, {"name": "GradGPT", "url": "https://www.gradgpt.com/", "description": "AI tools to simplify college applications. Review applications, draft essays, find universities and requirements and more."}, {"name": "Code to Flow", "url": "https://codetoflow.com", "description": "Visualize, Analyze, and Understand Your Code flow. Turn Code into Interactive Flowcharts with AI. Simplify Complex Logic Instantly."}, {"name": "AI-Flow", "url": "https://ai-flow.net/", "description": "Connect multiple AI models easily."}, {"name": "Architecture Helper", "url": "https://architecturehelper.com", "description": "Analyze any building architecture, and generate your own custom styles, in seconds."}, {"name": "VocalReplica", "url": "https://vocalreplica.com/", "description": "AI-Powered Vocal and Instrumental Isolation for Your Favorite Tracks"}, {"name": "AI Wedding Toast", "url": "https://aiweddingtoast.com", "description": "Generate a personalized wedding speech with AI"}, {"name": "Interviews Chat", "url": "https://www.interviews.chat/", "description": "Your Personal Interview Prep & Copilot"}, {"name": "Context Data", "url": "https://contextdata.ai/", "description": "Data Processing & ETL infrastructure for Generative AI applications"}, {"name": "ezJobs", "url": "https://www.getezjobs.com/", "description": "Automated job search and applications"}, {"name": "Compass", "url": "https://www.getwhys.io/compass", "description": "AI driven answers to SaaS research questions"}, {"name": "Adon AI", "url": "https://adon-web.awakast.com/en/recruiter/", "description": "CV screening automation and blind CV generator, AI backed ATS"}, {"name": "Persuva", "url": "https://persuva.ai", "description": "Persuva is the AI-driven platform to create persuasive, high-converting ad copy at scale."}, {"name": "Interview Solver", "url": "https://interviewsolver.com", "description": "Ace your live coding interviews with our AI Copilot"}, {"name": "Socialsonic", "url": "https://socialsonic.com", "description": "AI LinkedIn Coach: Personalized content, trends & scheduling."}, {"name": "Napkin", "url": "https://www.napkin.ai/", "description": "Napkin turns your text into visuals so sharing your ideas is quick and effective."}, {"name": "Exam Samurai", "url": "https://www.examsamur.ai/", "description": "AI Exam Generator"}, {"name": "AI Watermark Remover", "url": "https://aiwatermarkremover.io/", "description": "Remove watermarks from images and videos."}, {"name": "AISaver", "url": "https://aisaver.io", "description": "Collection of AI Powered Video and Photo Tools"}, {"name": "Harbor", "url": "https://github.com/av/harbor", "description": "run LLM backends, APIs, frontends, and services with one command", "stars": "2.2k"}, {"name": "LangMagic", "url": "https://easytolearn.io", "description": "Learn languages from native content."}, {"name": "fynk", "url": "https://fynk.com/", "description": "AI powered contract management software"}, {"name": "LooksMax AI", "url": "https://looksmax.ai", "description": "Find out how hot you are using AI"}, {"name": "Podify.io", "url": "https://podify.io", "description": "Leverage AI and community to grow on LinkedIn"}, {"name": "ResumeDive", "url": "https://resumedive.com", "description": "A resume boosting service using AI"}, {"name": "Luthor", "url": "https://luthor.ai/", "description": "Programmatic content marketing at scale"}, {"name": "Hyperbrowser", "url": "https://hyperbrowser.ai/", "description": "Browser infrastructure and automation for AI Agents and Apps with advanced features like proxies, captcha solving, and session recording."}, {"name": "Bricks", "url": "https://www.thebricks.com/", "description": "The AI Spreadsheet We've All Been Waiting For"}, {"name": "MindStudio", "url": "https://mindstudio.ai/", "description": "Build powerful AI Agents for yourself, your team, or your enterprise. Powerful, easy to use, visual builder\u2014no coding required, but extensible with code if you need it. Over 100 templates for all kinds of business and personal use cases."}, {"name": "Daruy", "url": "https://daruy.space/", "description": "Personalized Gift Idea Generator"}, {"name": "Promptly", "url": "https://searchpromptly.com/", "description": "Discover, create and share powerful prompts"}, {"name": "Melies", "url": "https://melies.co", "description": "AI Filmmaking software"}, {"name": "Learn Prompting", "url": "https://learnprompting.org/", "description": "A free, open-source course on communicating with artificial intelligence."}, {"name": "Prompt Engineering Guide", "url": "https://github.com/dair-ai/Prompt-Engineering-Guide", "description": "Guide and resources for prompt engineering.", "stars": "67k"}, {"name": "ChatGPT prompt engineering for developers", "url": "https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/", "description": "A short course by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI)."}, {"name": "OpenAI Cookbook", "url": "https://github.com/openai/openai-cookbook", "description": "Examples and guides for using the OpenAI API.", "stars": "69k"}, {"name": "Robert Miles AI Safety", "url": "https://www.youtube.com/@RobertMilesAI", "description": "Youtube channel about AI safety"}], "notes": [], "source": "Ai Tools"}, {"name": "Ai Tools \u2014 Machine Learning", "entries": [{"name": "Roadmap", "url": "https://github.com/mrdbourke/machine-learning-roadmap", "description": "A roadmap connecting many of the most important concepts in machine learning, how to learn them, and what tools to use to perform them.", "stars": "7.8k"}, {"name": "Andrew Ng\u2019s Machine Learning at Stanford University", "url": "https://www.coursera.org/learn/machine-learning", "description": "Ng\u2019s gentle introduction to machine learning course is perfect for engineers who want a foundational overview of key concepts in the field."}, {"name": "Sebastian Thrun\u2019s Introduction To Machine Learning", "url": "https://www.udacity.com/course/intro-to-machine-learning--ud120", "description": "robust introduction to the subject and also the foundation for a Data Analyst \u201cnanodegree\u201d certification sponsored by Facebook and MongoDB."}, {"name": "AI and Machine Learning Roadmaps", "url": "https://www.scaler.com/blog/category/artificial-intelligence-machine-learning/", "description": "Roadmaps featuring essential concepts, learning methods, and the tools to put them into practice."}, {"name": "How To Learn Artificial Intelligence (AI)?", "url": "https://www.appliedaicourse.com/blog/how-to-learn-artificial-intelligence-ai/", "description": "provides a step-by-step guide for beginners to understand and develop AI skills. It covers foundational topics like programming (Python), mathematics, and machine learning, progressing to advanced concepts such as deep learning and neural networks."}], "notes": [], "source": "Ai Tools"}, {"name": "Ai Tools \u2014 Deep Learning", "entries": [{"name": "Geoffrey Hinton\u2019s Neural Networks For Machine Learning", "url": "https://medium.com/kaggle-blog", "description": "it is now removed from cousrea but still check these list"}, {"name": "Jeremy Howard\u2019s Fast.ai & Data Institute Certificates", "url": "https://www.fast.ai/", "description": "The in-person certificate courses are not free, but all of the content is available on Fast.ai as MOOCs."}, {"name": "coursera-deep-learning-specialization", "url": "https://github.com/pratham5368/coursera-deep-learning-specialization", "description": "Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai", "stars": "0"}, {"name": "tensorflow", 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"http://www.wdiam.com/2012/06/10/mean-variance-portfolio-optimization-with-r-and-quadratic-programming/?utm_content=buffer04c12\\&utm_medium=social\\&utm_source=linkedin.com\\&utm_campaign=buffer", "description": ""}, {"name": "Algorithms for Sparse Optimization and Machine Learning", "url": "http://www.ima.umn.edu/2011-2012/W3.26-30.12/activities/Wright-Steve/sjw-ima12", "description": ""}, {"name": "Optimization Algorithms in Machine Learning", "url": "http://pages.cs.wisc.edu/\\~swright/nips2010/sjw-nips10.pdf", "description": ""}, {"name": "Optimization Algorithms for Data Analysis", "url": "http://www.birs.ca/workshops/2011/11w2035/files/Wright.pdf", "description": ""}, {"name": "Video Lectures on Optimization", "url": "http://videolectures.net/stephen_j_wright/", "description": ""}, {"name": "Optimization Algorithms in Support Vector Machines", "url": "http://pages.cs.wisc.edu/\\~swright/talks/sjw-complearning.pdf", "description": ""}, {"name": "The Interplay of Optimization and 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"description": "Safe, fast, small crypto using Rust & BoringSSL's cryptography primitives.", "stars": "3.9k"}, {"name": "ronkathon", "url": "https://github.com/pluto/ronkathon", "description": "Educational, mathematically transparent, well documentated cryptography in rust.", "stars": "313"}, {"name": "rust-crypto", "url": "https://github.com/DaGenix/rust-crypto", "description": "Mostly pure-Rust implementation of various cryptographic algorithms.", "stars": "1.4k"}, {"name": "rust-openssl", "url": "https://github.com/sfackler/rust-openssl", "description": "OpenSSL bindings for Rust.", "stars": "1.5k"}, {"name": "rustls", "url": "https://github.com/ctz/rustls", "description": "Rustls is a new, modern TLS library written in Rust.", "stars": "6.7k"}, {"name": "signatures", "url": "https://github.com/RustCrypto/signatures", "description": "Cryptographic signature algorithms: DSA, ECDSA, Ed25519.", "stars": "531"}, {"name": "snow", "url": "https://github.com/mcginty/snow?tab=readme-ov-file", "description": "Pure Rust implementation of Trevor Perrin\u2019s [Noise Protocol](https://noiseprotocol.org/noise.html).", "stars": "941"}, {"name": "sodiumoxide", "url": "https://github.com/dnaq/sodiumoxide", "description": "Sodium Oxide: Fast cryptographic library for Rust (bindings to libsodium).", "stars": "644"}, {"name": "suruga", "url": "https://github.com/klutzy/suruga", "description": "TLS 1.2 implementation in Rust.", "stars": "124"}, {"name": "webpki", "url": "https://github.com/briansmith/webpki", "description": "Web PKI TLS X.509 certificate validation in Rust.", "stars": "473"}], "notes": [], "source": "Cryptography"}, {"name": "Cryptography \u2014 Scala", "entries": [{"name": "recrypt", "url": "https://github.com/IronCoreLabs/recrypt", "description": "Transform encryption library for Scala.", "stars": "35"}, {"name": "scrypto", "url": "https://github.com/input-output-hk/scrypto", "description": "Cryptographic 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It's a group blog, primarily targeted towards cryptographers and crypto students."}, {"name": "Charles Engelke's Blog", "url": "https://blog.engelke.com/tag/webcrypto/", "description": "WebCrypto Blog Posts."}, {"name": "Root Labs rdist", "url": "https://rdist.root.org/", "description": "Nate Lawson and his co-authors write on a variety of topics including hardware implementation, cryptographic timing attacks, DRM, and the Commodore 64."}, {"name": "Salty Hash", "url": "https://blog.ironcorelabs.com", "description": "Covers topics on encryption, data control, privacy, and security."}, {"name": "Schneier on security", "url": "https://www.schneier.com/", "description": "One of the oldest and most famous security blogs. Bruce covers topics from block cipher cryptanalysis to airport security."}], "notes": [], "source": "Cryptography"}, {"name": "Cryptography \u2014 Mailing lists", "entries": [{"name": "metzdowd.com", "url": "http://www.metzdowd.com/mailman/listinfo/cryptography", "description": "\"Cryptography\" is a low-noise moderated mailing list devoted to cryptographic technology and its political impact."}, {"name": "Modern Crypto", "url": "https://moderncrypto.org/", "description": "Forums for discussing modern cryptographic practice."}, {"name": "randombit.net", "url": "https://lists.randombit.net/mailman/listinfo/cryptography", "description": "List for general discussion of cryptography, particularly the technical aspects."}], "notes": [], "source": "Cryptography"}, {"name": "Cryptography \u2014 Web-tools", "entries": [{"name": "Boxentriq", "url": "https://www.boxentriq.com/code-breaking", "description": "Easy to use tools for analysis and code-breaking of the most frequent ciphers, including Vigen\u00e8re, Beaufort, Keyed Caesar, Transposition Ciphers, etc."}, {"name": "Cryptolab", "url": "http://manansingh.github.io/Cryptolab-Offline/cryptolab.html", "description": "is a set of cryptography related tools."}, {"name": "CrypTool", "url": "http://www.cryptool-online.org/", "description": "Great variety of ciphers, encryption methods and analysis tools are introduced, often together with illustrated examples."}, {"name": "CyberChef", "url": "https://gchq.github.io/CyberChef/", "description": "a web app for encryption, encoding, compression, and data analysis."}, {"name": "factordb.com", "url": "http://factordb.com/", "description": "Factordb.com is tool used to store known factorizations of any number."}, {"name": "keybase.io", "url": "https://keybase.io/", "description": "Keybase maps your identity to your public keys, and vice versa."}], "notes": [], "source": "Cryptography"}, {"name": "Cryptography \u2014 Web-sites", "entries": [{"name": "Applied Crypto Hardening", "url": "https://bettercrypto.org/", "description": "A lot ready to use best practice examples for securing web servers and more."}, {"name": "Cryptocurrencies Dashboard", "url": "https://dashboard.nbshare.io/apps/reddit/top-crypto-subreddits/", "description": "A dashboard of most active cryptocurrencies discussed on Reddit."}, {"name": "Cryptography Stackexchange", "url": "http://crypto.stackexchange.com/", "description": "Cryptography Stack Exchange is a question and answer site for software developers, mathematicians and others interested in cryptography."}, {"name": "Cryptohack", "url": "https://cryptohack.org/", "description": "A platform with lots of interactive cryptography challenges, similar to Cryptopals."}, {"name": "Cryptopals Crypto Challenges", "url": "http://cryptopals.com/", "description": "A series of applied cryptography challenges, starting from very basic challenges, such as hex to base 64 challanges, and gradually increasing the difficulty up to abstract algebra."}, {"name": "Eliptic Curve Calculator", "url": "https://paulmillr.com/noble/#demo", "description": "simple form that allows to calculate elliptic curve public keys and signatures. Features include ability to create custom curves and different signature types"}, {"name": "Garykessler Crypto", "url": "http://www.garykessler.net/library/crypto.html", "description": "An Overview of Cryptography."}, {"name": "IACR", "url": "https://www.iacr.org/", "description": "The International Association for Cryptologic Research is a non-profit scientific organization whose purpose is to further research in cryptology and related fields."}, {"name": "Learn Cryptography", "url": "https://learncryptography.com/", "description": "Dedicated to helping people understand how and why the cryptographic systems they use everyday without realizing work to secure and protect their privacy."}, {"name": "Subreddit of Cryptography", "url": "https://www.reddit.com/r/cryptography/", "description": "This subreddit is intended for links and discussions surrounding the theory and practice of strong cryptography."}, {"name": "TikZ for Cryptographers", "url": "https://www.iacr.org/authors/tikz/", "description": "A collection of block diagrams of common cryptographic functions drawn in TikZ to be used in research papers and presentations written in LaTeX."}, {"name": "WebCryptoAPI", "url": "https://www.w3.org/TR/WebCryptoAPI/", "description": "This specification describes a JavaScript API for performing basic cryptographic operations in web applications, such as hashing, signature generation and verification, and encryption and decryption."}], "notes": [], "source": "Cryptography"}, {"name": "Theoretical Computer Science", "entries": [{"name": "Broad Intros", "url": "#broad_intros", "description": ""}, {"name": "Theory of Computation", "url": "#theory_of_computation", "description": ""}, {"name": "Logic", "url": "#logic", "description": ""}, {"name": "Programming Language Theory", "url": "#programming_language_theory", "description": ""}, {"name": "Algorithms", "url": "#algorithms", "description": ""}, {"name": "Information/Coding Theory", "url": "#informationcoding_theory", "description": ""}, {"name": "Cryptography", "url": "#cryptography", "description": ""}, {"name": "Machine Learning Theory", "url": "#machine_learning_theory", "description": ""}, {"name": "Game Theory", "url": "#game_theory", "description": ""}, {"name": "Math and Logic", "url": "#math_and_logic", "description": ""}, {"name": "Physics", "url": "#physics", "description": ""}, {"name": "Philosophy", "url": "#philosophy", "description": ""}, {"name": "Surveys & Monographs", "url": "#surveys__monographs", "description": ""}, {"name": "Community", "url": "#community", "description": ""}, {"name": "Other", "url": "#other", "description": ""}, {"name": "Related Lists", "url": "#related_lists", "description": ""}, {"name": "Barak. Introduction to TCS", "url": "https://introtcs.org/public/index.html", "description": "A modern, brief, and accessible text which introduces theoretical computer science for undergrads. It includes topics not usually included in standard undergrad text-books."}, {"name": "Yanofsky. Theoretical Computer Science", "url": "https://www.youtube.com/playlist?list=PLCqUsBXxq16yBaN_hpo7dY2l9N-ZLtI-X", "description": "undergrad introduction to theory of computation"}, {"name": "Anil Ada. Great Ideas in Theoretical Computer Science. CMU", "url": "https://www.youtube.com/playlist?list=PLKzLTB8HeSUIuln-o1mbXfTr8HmIhiGEg", "description": "A series of lectures on selected notable topics in theoretical computer science."}, {"name": "O'Donnell. Great Ideas in Theoretical Computer Science. CMU", "url": "https://www.youtube.com/playlist?list=PLm3J0oaFux3aafQm568blS9blxtA_EWQv", "description": "A series of lectures on selected notable topics in theoretical computer science."}, {"name": "Wigderson. Mathematics and Computation: A Theory Revolutionizing Technology and Science", "url": "https://www.math.ias.edu/files/Book-online-Aug0619.pdf", "description": "A sweeping survey of complexity theory, emphasizing the field\u2019s insights and challenges. It explains the ideas and motivations leading to key models, notions, and results."}, {"name": "Moore & Mertens. The Nature of Computation", "url": "http://nature-of-computation.org/", "description": "It spans complexity of mazes and games; optimization in theory and practice; randomized algorithms, interactive proofs, and pseudorandomness; Markov chains and phase transitions; and of quantum computing. It provides accessible explanations"}, {"name": "Atallah & Blanton. Algorithms and Theory of Computation Handbook: General Concepts and Techniques", "url": "https://www.routledge.com/Algorithms-and-Theory-of-Computation-Handbook-Volume-1-General-Concepts/Atallah-Blanton/p/book/9781138113930", "description": "A complete comprehensive encyclopediac handbook which surveys all related areas to theoretical computer science."}, {"name": "Atallah & Blanton. Algorithms and Theory of Computation Handbook: Special Topics and Techniques", "url": "https://www.routledge.com/Algorithms-and-Theory-of-Computation-Handbook-Volume-2-Special-Topics/Atallah-Blanton/p/book/9780367384845", "description": "A complete comprehensive encyclopediac handbook which surveys all related areas to theoretical computer science."}, {"name": "Handbook of Theoretical Computer Science. Volume A: Algorithms and Complexity", "url": "https://mitpress.mit.edu/books/handbook-theoretical-computer-science-volume", "description": "A complete comprehensive encyclopediac handbook which surveys all related areas to theoretical computer science."}, {"name": "Handbook of Theoretical Computer Science. Volume B: Formal Methods and Semantics", "url": "https://mitpress.mit.edu/books/handbook-theoretical-computer-science-2-vol-set", "description": "A complete comprehensive encyclopediac handbook which surveys all related areas to theoretical computer science."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Lecture Notes<a name=theory_of_computation_introductory_lecture_notes></a>", "entries": [{"name": "Watrous. Introduction to The Theory of Computing", "url": "https://cs.uwaterloo.ca/~watrous/ToC-notes/", "description": "undergrad introduction to theory of computation"}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 MOOC<a name=theory_of_computation_introductory_mooc></a>", "entries": [{"name": "Intro to Theoretical Computer Science", "url": "https://www.udacity.com/course/intro-to-theoretical-computer-science--cs313", "description": "It teaches basic concepts in theoretical computer science, such as NP-completeness, and what they imply for solving tough algorithmic problems."}, {"name": "Computability, Complexity & Algorithms. Georgia Institute of Technology", "url": "https://www.udacity.com/course/computability-complexity-algorithms--ud061", "description": "It focuses on the big fundamental questions of computing, and how understanding the power and limitations of algorithms helps us develop the tools to make real-world computers smarter, faster and safer."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Books<a name=theory_of_computation_introductory_books></a>", "entries": [{"name": "Sipser. Introduction to Theory of Computation", "url": "https://www.cengage.com/c/introduction-to-the-theory-of-computation-3e-sipser/9781133187790/", "description": "A standard text for introducing theory of computation for undergrads."}, {"name": "Hopcroft, Motwani & Ullman. Introduction to Automata Theory, Languages, and Computation", "url": "https://www.pearson.com/us/higher-education/program/Hopcroft-Introduction-to-Automata-Theory-Languages-and-Computation-3rd-Edition/PGM64331.html", "description": "Introductory undergrad textbook for automata, languages and theory of computation topics."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Puzzles and Problem Sets<a name=theory_of_computation_introductory_puzzles_and_problem_sets></a>", "entries": [{"name": "Zhu & Ko. Problem Solving in Automata, Languages, and Complexity", "url": "https://onlinelibrary.wiley.com/doi/book/10.1002/0471224642", "description": "A problem-set text for automata, languages, and complexity."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Introductory<a name=theory_of_computation_computational_complexity_introductory></a>", "entries": [{"name": "O'Donnell. Undergrad Complexity Theory. Fall 2019 (15-455)", "url": "https://www.youtube.com/playlist?list=PLm3J0oaFux3YL5vLXpzOyJiLtqLp6dCW2", "description": ""}, {"name": "O'Donnell. Graduate Complexity Theory", "url": "https://www.youtube.com/playlist?list=PLm3J0oaFux3b8Gg1DdaJOzYNsaXYLAOKH", "description": "It covers most of what is believed to be known to get started in complexity theory research."}, {"name": "Rudich & Wigderson. Computational Complexity Theory", "url": "http://www.ams.org/books/pcms/010/", "description": "Three weeks of lectures from the IAS/Park City Mathematics Institute Summer School on computational complexity. Topics include reductions, lower-bounds, average-case complexity, randomness, interactive proof systems, probabilistically checkable proofs, quantum computing, and proof complexity."}, {"name": "Arora & Barak. Computational Complexity: A Modern Approach", "url": "https://theory.cs.princeton.edu/complexity/book.pdf", "description": "A golden standard textbook, Surveying computational complexity theory for graduate students and researchers."}, {"name": "Goldreich. Computational Complexity: A Conceptual Perspective", "url": "http://www.wisdom.weizmann.ac.il/~oded/cc-book.html", "description": "A grad introduction to computation complexity theory, emphasizing the idea behind concepts of complexity theory."}, {"name": "Goldreich. P, NP, and NP-Completeness: The Basics of Computational Complexity", "url": "http://www.wisdom.weizmann.ac.il/~oded/bc-book.html", "description": "A very gentle introduction to some fundamental ideas of computational complexity like NP-completeness and P vs NP."}, {"name": "Ogihara & Hemaspaandra. The Complexity Theory Companion", "url": "https://www.springer.com/gp/book/9783540674191", "description": "An accessible, algorithmically oriented, research-centered, up-to-date guide to some of the most interesting techniques of complexity theory."}, {"name": "Papadimitriou. Computational Complexity", "url": "https://www.pearson.com/us/higher-education/program/Papadimitriou-Computational-Complexity/PGM94583.html", "description": "Body of knowledge for studying the performance and limitations of computer algorithms. Among topics covered are: reductions and NP-completeness, cryptography and protocols, randomized algorithms, and approximability of optimization problems, circuit complexity, the structural aspects of the P=NP question, parallel computation, and the polynomial hierarchy."}, {"name": "Complexity Zoo", "url": "https://complexityzoo.net/", "description": "a wiki of complexity classes."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Communication Complexity<a name=theory_of_computation_computational_complexity_communication_complexity></a>", "entries": [{"name": "Mark Bun. CS591 Communication Complexity", "url": "https://cs-people.bu.edu/mbun/courses/591_F19/", "description": "A graduate course which introduces the fundamental results and techniques in the area and some research frontier questions. Themes include: Communication models and the communication complexity zoo, Information vs. communication, Query-to-communication lifting, and Applications"}, {"name": "Rao & Yehudayoff. Communication Complexity and Applications", "url": "https://www.cambridge.org/core/books/communication-complexity/5F44993E3B2597174B71D3F21E748443", "description": "An excellent and very readable introductory textbook to the field of communication complexity."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Circuit Complexity<a name=theory_of_computation_computational_complexity_circuit_complexity></a>", "entries": [{"name": "Jukna. Boolean Function Complexity: Advances and Frontiers", "url": "https://www.springer.com/gp/book/9783642245077", "description": "A modern textbook surveying circuit complexity."}, {"name": "Clote & Kranakis. Boolean Functions and Computation Models", "url": "https://www.springer.com/gp/book/9783540594369", "description": "An introduction to circuit complexity, boolean functions, and computation models."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Quantum Complexity<a name=theory_of_computation_computational_complexity_quantum_complexity></a>", "entries": [{"name": "Uni Paderborn. Quantum Complexity Theory. Winter 2020", "url": "https://www.youtube.com/playlist?list=PLZGjbQcY0aI7Yqwbwp-lsf1tTPyvkQG6h", "description": "CS Masters level lectures on topics including Boson sampling, quantum interactive proofs, and quantum merlin arthur."}, {"name": "Henry Yuen. The Complexity of Entanglement. Fall 2020", "url": "https://www.henryyuen.net/fall2020/complexity_of_entanglement_notes.pdf", "description": "Focuses on cutting edge topics in quantum information that relate to Complexity of Entanglement. - see this [class](https://www.henryyuen.net/classes/fall2020/) also"}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Proof Complexity<a name=theory_of_computation_computational_complexity_proof_complexity></a>", "entries": [{"name": "Robert Robere. Proof Complexity: Algorithms and Lower Bounds", "url": "https://www.cs.mcgill.ca/~robere/comp598/index.html", "description": "An introduction to modern proof complexity, emphasizing its connections with computational complexity and algorithms in optimization."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Books<a name=theory_of_computation_computability_theory_books></a>", "entries": [{"name": "Cutland. Computability: An Introduction to Recursive Function Theory", "url": "https://www.cambridge.org/highereducation/books/computability/E8F085FDBECB8280F7723D71C1D2EE1C", "description": "Intuitively, It explains the idea of a computable function: a function whose values can be calculated in an effective or automatic way."}, {"name": "Cooper. Computability Theory", "url": "https://www.routledge.com/Computability-Theory/Cooper-Cooper/p/book/9781584882374", "description": "A concise, comprehensive, and authoritative introduction to contemporary computability theory, techniques, and results."}, {"name": "Davis. Computability and Unsolvability", "url": "https://www.amazon.com/Computability-Unsolvability-Prof-Martin-Davis/dp/0486614719", "description": "In this classic text, Dr. Davis provides a clear introduction to computability, at an advanced undergraduate level, that serves the needs of specialists and non-specialists alike."}, {"name": "Soare. Recursively Enumerable Sets and Degree", "url": "https://www.springer.com/gp/book/9783540666813", "description": "It gives a complete account of the theory of r.e degrees. The definitions, results and proofs are always clearly motivated and explained before the formal presentation; the proofs are described with remarkable clarity and conciseness."}, {"name": "Odifreddi. Classical Recursion Theory: The Theory of Functions and Sets of Natural Numbers", "url": "https://archive.org/details/classicalrecursi0000odif", "description": "An impressive presentation of classical recursion theory. It is highly recommended to everyone interested in recursion theory."}, {"name": "Copeland, Posy & Shagrir (editors). Computability: Turing, G\u00f6del, Church, and Beyond", "url": "https://mitpress.mit.edu/books/computability", "description": "Computer scientists, mathematicians, and philosophers discuss the conceptual foundations of the notion of computability as well as recent theoretical developments."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Books<a name=logic_computational_complexity_books></a>", "entries": [{"name": "Pudl\u00e1k. Logical Foundations of Mathematics and Computational Complexity: A Gentle Introduction", "url": "https://www.springer.com/gp/book/9783319001180", "description": "Presents a wide range of results in logic and computational complexity."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Lecture Notes<a name=programming_language_theory_basics_lecture_notes></a>", "entries": [{"name": "Cambridge Foundations of CS", "url": "https://www.cl.cam.ac.uk/teaching/2425/FoundsCS/materials.html", "description": "It teaches programming and presents some fundamental principles of computer science, especially algorithm design."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Books<a name=programming_language_theory_basics_books></a>", "entries": [], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Books<a name=programming_language_theory_introductory_books></a>", "entries": [{"name": "Pierce. Software Foundations. Pennsylvania", "url": "https://softwarefoundations.cis.upenn.edu/", "description": "A broad introduction series to the mathematical underpinnings of reliable software. It's composed of proof scripts for the Coq proof assistant. It's is intended for a broad range of readers, With no specific background assumed."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Lecture Notes<a name=programming_language_theory_formal_verification_lecture_notes></a>", "entries": [{"name": "UW CSE505 18au Principles of PL", "url": "https://sites.google.com/cs.washington.edu/cse-505-18au/home", "description": "Techniques for thinking crisply about programming languages, write some fascinating programs, and discuss various design tradeoffs."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Books<a name=programming_language_theory_formal_verification_books></a>", "entries": [{"name": "Chlipala. Formal Reasoning About Programs", "url": "http://adam.chlipala.net/frap", "description": "A book introducing both machine-checked proof with Coq Proof Assistant and approaches to formal reasoning about program correctness."}, {"name": "Lean Proof Assistant", "url": "https://lean-lang.org/documentation/", "description": "Lean Proof Assistant."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Lecture Notes<a name=programming_language_theory_type_theory_lecture_notes></a>", "entries": [{"name": "Martin-L\u00f6f. Intuitionistic Type Theory", "url": "https://raw.githubusercontent.com/michaelt/martin-lof/master/pdfs/Bibliopolis-Book-retypeset-1984.pdf", "description": "Notes by Giovanni Sambin of a series of type theory lectures given in Padua, June 1980."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Books<a name=programming_language_theory_type_theory_books></a>", "entries": [{"name": "Bengt. Programming in Martin-L\u00f6f's Type Theory", "url": "https://www.cse.chalmers.se/research/group/logic/book/book.pdf", "description": "This book describes different type theories (theories of types, polymorphic and monomorphic sets, and subsets) from a computing science perspective."}, {"name": "The Univalent Foundations Program Institute for Advanced Study. Homotopy Type Theory: Univalent Foundations of Mathematics", "url": "https://homotopytypetheory.org/book", "description": "The present book is intended as a first systematic exposition of the basics of univalent foundations, and a collection of examples of this new style of reasoning \u2014 but without requiring the reader to know or learn any formal logic, or to use any computer proof assistant."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Lecture Notes<a name=programming_language_theory_functional_programming_lecture_notes></a>", "entries": [{"name": "Helsinki. Haskell MOOC", "url": "https://haskell.mooc.fi", "description": "An online course on functional programming with Haskell programming language, and a live interactive Telegram community."}, {"name": "Cornell. Functional Programming in Ocaml", "url": "https://www.cs.cornell.edu/courses/cs3110/2024sp", "description": "A modern course on data structures and functional programming using OCaml."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Lecture Videos<a name=algorithms_general_lecture_videos></a>", "entries": [{"name": "Demaine/Ku/Soloman. Introduction to Algorithms. MIT", "url": "https://ocw.mit.edu/courses/6-006-introduction-to-algorithms-spring-2020/", "description": "A first course on basic algorithms and data structures. \u2014 added by Erik himself!"}, {"name": "Demaine/Devadas/Lynch. Design and Analysis of algorithms. MIT", "url": "https://ocw.mit.edu/courses/6-046j-design-and-analysis-of-algorithms-spring-2015/", "description": "A second course on algorithms and data structures. \u2014 added by Erik himself!"}, {"name": "Erik Demaine. Advanced Data Structures. MIT", "url": "https://ocw.mit.edu/courses/6-851-advanced-data-structures-spring-2012/", "description": "It covers major results and current directions of research in data structure."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Lecture Notes<a name=algorithms_general_lecture_notes></a>", "entries": [{"name": "Arora. Advanced Algorithm Design", "url": "https://www.cs.princeton.edu/courses/archive/fall15/cos521/", "description": "Notably uses ideas such as randomness, approximation, high dimensional geometry. Faces uncertainty, approaches to handle big data, handling intractability, heuristic approaches, ..etc."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Books<a name=algorithms_general_books></a>", "entries": [{"name": "Knuth. The Art of Computer Programming", "url": "https://en.wikipedia.org/wiki/The_Art_of_Computer_Programming", "description": "A legendary series by Donald Knuth on design and analysis of algorithms."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Lecture Videos Playlists<a name=algorithms_lower_bounds_lecture_videos_playlists></a>", "entries": [{"name": "Demaine. Algorithmic Lower Bounds: Fun with Hardness Proofs", "url": "https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-890-algorithmic-lower-bounds-fun-with-hardness-proofs-fall-2014/", "description": "A class taking a practical approach to proving problems can't be solved efficient."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Books<a name=algorithms_lower_bounds_books></a>", "entries": [{"name": "Demaine, Gasarch & Hajiaghayi. Computers and Intractability: A Guide to Algorithmic Lower Bounds", "url": "https://hardness.mit.edu/", "description": "A sequel to Garey and Johnson's Computers and Intractability: A Guide to NP-Completeness. New topics include Parameterized Complexity, Lower bounds on approximation, Other hardness assumptions (ETH, 3SUM-conjecture, APSP-conjecture, UGC, Others), Online Algorithms, Streaming Algorithms, Polynomial Parity Arguments, and Parallelism."}, {"name": "Demaine. Games, Puzzles, and Computation", "url": "https://www.routledge.com/Games-Puzzles-and-Computation/Hearn-Demaine/p/book/9781568813226", "description": "It shows that games and puzzles can serve as powerful models of computation, Offering a new way of thinking about computation."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Lecture Notes<a name=algorithms_randomization__probability_lecture_notes></a>", "entries": [{"name": "Mary Wootters. Randomized Algorithms and Probabilistic Analysis. Stanford", "url": "https://web.stanford.edu/class/archive/cs/cs265/cs265.1232/", "description": "Key tools of probabilistic analysis, and application of these tools to understand the behaviors of random processes and algorithms. Emphasis is on theoretical foundations, though applications will be discussed in machine learning and data analysis, networking, and systems. Topics include tail bounds, the probabilistic method, Markov chains, and martingales, with applications to analyzing random graphs, metric embeddings, and random walks."}, {"name": "Koutsoupias. Probability and Computing. Oxford", "url": "https://www.cs.ox.ac.uk/people/elias.koutsoupias/pc2018-19/", "description": "Introduction to probabilistic methods in computer science."}, {"name": "Lee. Randomized Algorithms and Probabilistic Analysis. Washington.", "url": "https://homes.cs.washington.edu/~jrl/teaching/cse525sp19/", "description": "Topics include Discrete probability, High-dimensional geometry and statistics, Information and entropy, and Markov chains and convergence to equilibrium."}, {"name": "Aspnes. Notes on Randomized Algorithms", "url": "https://www.cs.yale.edu/homes/aspnes/classes/469/notes.pdf", "description": "Supplemental notes to the standard books by Mitzenmacher & Upfals, and Motwani & Raghavan."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Lecture Notes<a name=algorithms_approximation_lecture_notes></a>", "entries": [{"name": "Chekuri. Approximation Algorithmis Illinois", "url": "https://courses.engr.illinois.edu/cs583/fa2021/", "description": "A broad introduction to results and techniques with an emphasis on fundamental problems and widely applicable tools. Also more advanced and specialized topics."}, {"name": "Dinitz. Approximation Algorithms. Johns Hopkins", "url": "https://www.cs.jhu.edu/~mdinitz/classes/ApproxAlgorithms/Spring2021/", "description": "It includes greedy, local search, dynamic programming, randomized rounding, tree embeddings, and semidefinite programming."}, {"name": "Gupta & Ravi. Approximation Algorithms. CMU", "url": "http://www.cs.cmu.edu/afs/cs/academic/class/15854-f05/www/", "description": "It includes convex programming-based, randomness, and metric methods."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Books<a name=algorithms_approximation_books></a>", "entries": [{"name": "Williamson & Shmoys. The Design of Approximation Algorithms", "url": "https://www.designofapproxalgs.com/", "description": "It includes greedy, local search algorithms, dynamic programming, linear and semidefinite programming, and randomization."}, {"name": "Du & Ko. Design and Analysis of Approximation Algorithms", "url": "https://u.pcloud.link/publink/show?code=XZpzNWXZSCkVs6BKd5RzyNhoRzfJCJoaqSok", "description": "A technique-oriented approach provides a unified view. It includes detailed algorithms, proofs, analyses, examples, and applications from research papers."}, {"name": "Vijay Vazirani. Approximation Algorithms", "url": "https://u.pcloud.link/publink/show?code=XZgHNWXZkdvT8L18drSSgLP9vqBIDmbPreD7", "description": ""}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Lecture Videos Playlist<a name=algorithms_parameterized_lecture_videos_playlist></a>", "entries": [{"name": "Parametarized Algorithms by Warsaw", "url": "https://www.youtube.com/playlist?list=PLzdZSKerwrXpr6hWq1s63a42YbkocAK1Q", "description": ""}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Books<a name=algorithms_parameterized_books></a>", "entries": [], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Lecture Notes<a name=algorithms_learning-augmented_lecture_notes></a>", "entries": [{"name": "Indyk & Daskalakis. Learning-augmented Algorithms. MIT", "url": "https://stellar.mit.edu/S/course/6/sp19/6.890/materials.html", "description": ""}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Big List<a name=algorithms_learning-augmented_big_list></a>", "entries": [{"name": "Algorithms with Predictions", "url": "https://algorithms-with-predictions.github.io/", "description": ""}, {"name": "Madhu Sudan. Essential Coding Theory", "url": "http://people.seas.harvard.edu/~madhusudan/courses/Spring2020/", "description": "Some elements of Algorithmic tasks of encoding and decoding and its connections with error-correction; These codes are now tools in the design and analysis of algorithms, and also in many aspects of computational complexity. The focus is on constructions of algorithmic and asymptotic importance. Requires only basic mathematical maturity."}, {"name": "Simons Institute. Information Theory Program", "url": "https://simons.berkeley.edu/programs/inftheory2015", "description": "It aims to strengthen the ties between computation and communication communities. It explores (1) information theoretic techniques in complexity theory and combinatorics, (2) Coding theory and applications, and (3) information theory, machine learning, and big data."}, {"name": "Compression+Computation 2022", "url": "https://sites.google.com/view/compression-computation-2022/program", "description": "It bridges the gap of Theoretical Computer Science and Bioinformatics communities, On new data compression techniques, and computation over compressed data."}, {"name": "Lindell. Tutorials on the Foundations of Cryptography", "url": "https://link.springer.com/book/10.1007/978-3-319-57048-8", "description": "Advanced tutorials appropriate for self-study by experienced researchers,"}, {"name": "Goldreich. Modern Cryptography, Probabilistic Proofs and Pseudorandomness", "url": "https://www.wisdom.weizmann.ac.il/~oded/book1.html", "description": "An introduction to the interwoven domains of cryptography, proofs and randomness."}, {"name": "Goldreich. Randomized Methods in Computation", "url": "http://www.wisdom.weizmann.ac.il/~oded/rnd.html", "description": "The aim of the current course is to make the students familiar with some of randomized methods."}, {"name": "Blum. An Introduction to the Theory of Machine Learning. TTIC", "url": "https://home.ttic.edu/~avrim/MLT20/", "description": "The basic theory underlying machine learning and the process of generalizing from data."}, {"name": "Telgarsky. Deep Learning Theory. Illinois", "url": "https://mjt.cs.illinois.edu/dlt/", "description": "Focuses on simplified proofs over what appears in the literature, and classical perspective of achieving a low test error for binary classification with IID data via standard (typically ReLU) feedforward networks."}, {"name": "Vaughan. CS260: Machine Learning Theory", "url": "http://www.jennwv.com/courses/F11.html", "description": "A broad overview of the theoretical foundations underlying common machine learning algorithms."}, {"name": "Livni. COS 511 Theoretical Machine Learning. Princeton", "url": "https://www.cs.princeton.edu/~rlivni/cos511/cos511.html", "description": "Formally define and study various models that have been proposed for learning. The course will present and contrast the statistical, computational and online models for learning. We will present and rigorously analyze some of the most successful algorithms in machine learning that are extensively used today."}, {"name": "Moitra. Theoretical Foundations for Deep Learning. MIT", "url": "https://people.csail.mit.edu/moitra/408b.html", "description": "It explores theoretical foundations for deep learning, emphasizing the following themes: (1) Approximation: What sorts of functions can be represented by deep networks, and does depth provably increase the expressive power? (2) Optimization: Essentially all optimization problems we want to solve in practice are non-convex. What frameworks can be used to analyze such problems? (3) Beyond-Worst Case Analysis: Deep networks can memorize worst-case data, so why do they generalize well on real-world data?"}, {"name": "Arora. Overcoming Intractability in Machine Learning", "url": "https://www.cs.princeton.edu/courses/archive/spring15/cos598D/", "description": "A seminar course that will focus on the following phenomenon: many problems in machine learning are formally intractable (e.g., NP-hard). Nevertheless they are solved in practice by heuristics. Can we design algorithms with provable guarantees (running time, solution quality)?"}, {"name": "Vazirani & Kearns. An Introduction to Computational Learning Theory", "url": "https://mitpress.mit.edu/books/introduction-computational-learning-theory", "description": "Emphasizing issues of computational efficiency, It introduces a number of central topics in computational learning theory."}, {"name": "Shalev-Shwartz. Understanding Machine Learning: From Theory to Algorithms", "url": "https://www.cambridge.org/core/books/understanding-machine-learning/3059695661405D25673058E43C8BE2A6", "description": "It provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms."}, {"name": "Simons Institute. Foundations of Deep Learning Program", "url": "https://simons.berkeley.edu/programs/dl2019", "description": "Aligning and focusing theoretical and applied researchers on the common purpose of building empirically relevant theoretical foundations of deep learning. Specifically, the intention was to identify and make progress on challenges that, on one hand, are key to guiding the real-world use of deep learning and, on the other hand, can be approached using theoretical methodology."}, {"name": "Simons Institute. Foundations of Data Science", "url": "https://simons.berkeley.edu/programs/datascience2018", "description": "Identifying a set of core techniques and principles that form a foundation for the subject."}, {"name": "Foundations of Machine Learning", "url": "https://simons.berkeley.edu/programs/machinelearning2017", "description": "Aims to grow the reach and impact of computer science theory within machine learning."}, {"name": "Toward Theoretical Understanding of Deep Learning", "url": "https://unsupervised.cs.princeton.edu/deeplearningtutorial.html", "description": ""}, {"name": "A Brief Introduction to Theoretical Foundations of Machine Learning and Machine Teaching", "url": "https://simons.berkeley.edu/talks/tbd-288", "description": "Formal methods and machine learning can inform each other from deductive and inductive reasoning perspectives. This talk aims to facilitate the dialogue between the two communities by establishing some fundamental concepts in learning theory."}, {"name": "Blum. Intro Machine Learning Theory", "url": "https://www.cs.cmu.edu/~avrim/Talks/mlt.pdf", "description": ""}, {"name": "Blum, et.al. Machine Learning, Game Theory, and Mechanism Design for a Networked World", "url": "https://www.cs.cmu.edu/~mblum/search/AGTML35.pdf", "description": ""}, {"name": "Agrawal & Jaiswal. When Machine Learning Meets AI and Game Theory", "url": "https://cs229.stanford.edu/proj2012/AgrawalJaiswal-WhenMachineLearningMeetsAIandGameTheory.pdf", "description": ""}, {"name": "Tim Roughgarden. Complexity Theory, Game Theory, and Economics: The Barbados Lectures", "url": "https://arxiv.org/abs/1801.00734", "description": "A mini-course notes of two-fold goals: mini-course is twofold: (i) Explain how complexity theory has helped illuminate several barriers in economics and game theory; and (ii) Illustrate how game-theoretic questions have led to new and interesting complexity theory, including recent several breakthroughs."}, {"name": "Eva Tardos. Algorithmic Game Theory", "url": "http://www.cs.cornell.edu/courses/cs6840/2012sp/", "description": "It combines algorithmic thinking with game-theoretic, or, more generally, economic concepts. The course will study a range of topics at this interface. The only prerequisite to the course is mathematical thinking."}, {"name": "Chekuri. Topics in Algorithms: Algorithmic Game Theory", "url": "https://chekuri.cs.illinois.edu/teaching/spring2008/agt.htm", "description": "A broad graduate-level introduction to: auctions, existence and computation of equilibria in games and markets, algorithmic mechanism design, price of anarchy and price of stability, games relevant to networks and e-commerce. The emphasis will be on conceptual ideas and algorithmic aspects. No familiarity with game theory or economics will be assumed."}, {"name": "Penna. Algorithmic Game Theory", "url": "https://ml2.inf.ethz.ch/courses/agt/", "description": "The course discusses algorithmic aspects of game theory, such as a general introduction to game theory, auctions, mechanisms, the costs of a central control optimum versus those of an equilibrium under selfish agents, and algorithms and complexity of computing equilibria."}, {"name": "Brown. Resources list for game theory", "url": "http://cs.brown.edu/courses/cs1951k/lectures/", "description": "TAs based these notes in large part on the lecture notes and accompanying videos of Tim Roughgarden's CS 364A and CS 364B courses at Stanford, and Jason Hartline's Mechanism Design and Approximation textbook."}, {"name": "Fang. Advanced Topics in Machine Learning and Game Theory", "url": "https://feifang.info/advanced-topics-in-machine-learning-and-game-theory-fall-2021/", "description": "A graduate-level course covering the topics at the intersection of machine learning and game theory."}, {"name": "Xu. Topics in Learning and Game Theory", "url": "http://www.haifeng-xu.com/cs6501sp21/index.htm", "description": "A graduate level course covering topics at the interface between machine learning and game theory."}, {"name": "Tim Roughgarden. Foundations of Blockchains", "url": "https://timroughgarden.github.io/fob21/", "description": "The science and technology of blockchain protocols and the applications built on top of them, with an emphasis on fundamental principles rather than specific protocols. - See also [Lecture Videos](https://www.youtube.com/playlist?list=PLEGCF-WLh2RLOHv_xUGLqRts_9JxrckiA)."}, {"name": "Apt & Gr\u00e4del. Lectures in Game Theory for Computer Scientists", "url": "https://www.cambridge.org/us/academic/subjects/computer-science/programming-languages-and-applied-logic/lectures-game-theory-computer-scientists", "description": "Games provide mathematical models for interaction, and numerous tasks in computer science can be formulated in game-theoretic terms."}, {"name": "Eva Tardos & et.al. Algorithmic Game Theory", "url": "https://www.cambridge.org/core/books/algorithmic-game-theory/0092C07CA8B724E1B1BE2238DDD66B38#fndtn-information", "description": "Basic chapters on algorithmic methods for equilibria, mechanism design and combinatorial auctions are followed by chapters on important game theory applications such as incentives and pricing, cost sharing, information markets and cryptography and security."}, {"name": "Simons Institute. Economics and Computation Program", "url": "https://simons.berkeley.edu/programs/economics2015", "description": "The intersection is motivated by applications such as large-scale digital auctions and markets, and fundamental questions such as the computational complexity of Nash equilibria and complexity and approximation in mechanism design. Also, To productively model and study the Internet and its novel computational phenomena, Models and insights can be gained from from game theory and economic theory. The computational point of view, on the other hand, is essential to understand a world in which markets are networked and the default platforms of economic transactions are algorithmic."}, {"name": "Simons Institute. Learning and Games Program", "url": "https://simons.berkeley.edu/programs/games2022", "description": "The intersection is manifested by (1) Data input to machine learning algorithms are generated by self-interested parties, (2) Machine learning is used to optimize economic systems or acts, (3) Machine learning models used in critical systems are becoming prone to adversarial attacks, and (4) Several machine learning approaches can be framed as finding the equilibrium of a game."}, {"name": "Eva Tardos. Learning and Efficiency in Games", "url": "https://simons.berkeley.edu/events/openlectures2015-fall-1", "description": "How to quantify the impact of strategic user behavior on overall performance in games including traffic routing as well as online auctions."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Lecture Videos Playlist<a name=math_and_logic_general_lecture_videos_playlist></a>", "entries": [{"name": "Demaine, Abel & Chapman. Mathematics for Computer Science", "url": "https://ocw.mit.edu/courses/6-1200j-mathematics-for-computer-science-spring-2024/", "description": "A junior introduction to discrete mathematics for computer scientists. - [Companion Textbook 2015](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-spring-2015/readings/MIT6_042JS15_textbook.pdf)"}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Books<a name=math_and_logic_general_books></a>", "entries": [{"name": "Knuth, Graham & Patashnik. Concrete Mathematics: A Foundation for Computer Science", "url": "https://www.pearson.com/us/higher-education/product/Graham-Concrete-Mathematics-A-Foundation-for-Computer-Science-2nd-Edition/9780134389981.html", "description": "An expansion of the Mathematical Preliminaries section in Knuth's classic Art of Computer Programming, but the style of presentation is more leisurely, and individual topics are covered more deeply."}, {"name": "Aho & Ullman. Foundations of Computer Science", "url": "http://i.stanford.edu/~ullman/focs.html", "description": "A classic math-oriented introduction to computer science."}, {"name": "Tu Delft. Delftse Foundations of Computation", "url": "https://books.open.tudelft.nl/home/catalog/book/211", "description": "A textbook for a one quarter introductory course in theoretical computer science including logic, proof techniques, and set theory. It assumes no prerequisite other than basic programming."}, {"name": "Eck & Critchlow. Foundations of Computation", "url": "https://math.hws.edu/FoundationsOfComputation/", "description": "for a one-semester course in theoretical computer science. It has no prerequisites other than introductory computer programming. It includes logic, sets, and function from discrete math, and automata, formal languages, and grammar from upper-level courses."}, {"name": "Comprehensive Mathematics for Computer Scientists", "url": "https://www.springer.com/series/5517", "description": "A series dedicated to math topics and their relevance to computer science."}, {"name": "Krantz. Handbook of Logic and Proof Techniques for Computer Science", "url": "https://www.maa.org/press/maa-reviews/handbook-of-logic-and-proof-techniques-for-computer-science", "description": "A concise offered as an accessible reference on mathematical logic for the professional computer scientist."}, {"name": "Makinson. Sets, Logic and Maths for Computing", "url": "https://www.springer.com/gp/book/9783030422172", "description": "It presents a careful selection of the material most needed by students in their first two years studying computer science."}, {"name": "Yves Nievergelt. Logic, Mathematics, and Computer Science: Modern Foundations with Practical Applications", "url": "https://www.springer.com/gp/book/9781493932221", "description": "For lower undergraduates, It introduces the reader to logic, proofs, sets, and number theory, Focusing on foundations. It provides complete details and derivations of formal proofs."}, {"name": "Lacona. LOGIC: Lecture Notes for Philosophy, Mathematics, and Computer Science", "url": "https://link.springer.com/book/10.1007/978-3-030-64811-4", "description": "Suitable for undergraduate introductions to logic and early graduate courses on logic."}, {"name": "Ben-Ari. Mathematical Logic for Computer Science", "url": "https://www.springer.com/gp/book/9781447141280", "description": "Semantic tableaux are used because they are theoretically sound and easy to understand."}, {"name": "Jeremy Kun. A Programmer's Introduction to Mathematics", "url": "https://pimbook.org/", "description": "Uses your familiarity with ideas from programming and software to teach mathematics."}, {"name": "Vince. Foundation Mathematics for Computer Science: A Visual Approach", "url": "https://www.springer.com/gp/book/9783030420772", "description": "A range of mathematical topics to provide a solid foundation for an undergraduate course in computer science, starting with a review of number systems and their relevance to digital computers, and finishing with differential and integral calculus."}, {"name": "Oberguggenberger & Ostermann. Analysis for Computer Scientists: Foundations, Methods, and Algorithms", "url": "https://www.springer.com/gp/book/9783319911540", "description": "Presents an algorithmic approach to mathematical analysis, with a focus on modelling and on the applications of analysis."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Lecture Notes<a name=math_and_logic_general_lecture_notes></a>", "entries": [{"name": "Paluszynski. Calculus for Computer Scientists", "url": "https://www.math.uni.wroc.pl/~mpal/academic/2013/lecture_notes.pdf", "description": "calculus lecture notes taught for undergrad computer science students"}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Lecture Videos Playlists<a name=math_and_logic_tcs_toolkit_lecture_videos_playlists></a>", "entries": [{"name": "O'Donnell. CS Theory Toolkit", "url": "https://www.youtube.com/playlist?list=PLm3J0oaFux3ZYpFLwwrlv_EHH9wtH6pnX", "description": "It covers a large number of the math/CS topics that you need to know for reading and doing research in Computer Science Theory - alternatively: [bilibili](https://www.bilibili.com/video/BV1Ry4y1e7zR)"}, {"name": "Madhur Tulsiani. Mathematical Toolkit", "url": "https://home.ttic.edu/~madhurt/courses/toolkit2021/index.html", "description": "Things prof. Madhur wish he knew in first year of grad school."}, {"name": "Harsha & Strivastava. Toolkit for Theoretical Computer Science. Tata Institute", "url": "https://www.tifr.res.in/~prahladh/teaching/2020-21/toolkit/", "description": ""}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Lecture Notes<a name=math_and_logic_tcs_toolkit_lecture_notes></a>", "entries": [{"name": "Gregory Valiant. The Modern Algorithmic Toolbox. Stanford", "url": "https://web.stanford.edu/class/cs168/", "description": "It covers hashing, dimension reduction, linear and convex programming, gradient descent and regression, sampling and estimation, compressive sensing, linear-algebraic techniques (principal components analysis, singular value decomposition, spectral techniques), and an intro to differential privacy."}, {"name": "Zhou. A Theorist's Toolkit. Illinois", "url": "https://yuanz.web.illinois.edu/teaching/B609fa16/", "description": "It covers a large number of the math/CS topics that you need to know for reading and doing research in Computer Science Theory."}, {"name": "O'Donnell. A Theorist's Toolkit. CMU", "url": "https://www.cs.cmu.edu/~odonnell/toolkit13/", "description": "It covers a large number of the math/CS topics that you need to know for reading and doing research in Computer Science Theory."}, {"name": "Arora. Thinking Like a Theorist. Princeton", "url": "https://www.cs.princeton.edu/courses/archive/fall07/cos597D/Site/lectopics.html", "description": "It covers a large number of the math/CS topics that you need to know for reading and doing research in Computer Science Theory."}, {"name": "Arora. A Theorist's Toolkit. Princeton", "url": "https://www.cs.princeton.edu/courses/archive/fall02/cs597D/", "description": "Aimed primarily at first and second year graduate students who plan to do research in theoretical computer science. We will introduce probabilistic, algebraic, combinatorial, and algorithmic methods useful in proofs."}, {"name": "Kelner. Topics in Theoretical Computer Science: An Algorithmist's Toolkit. MIT", "url": "https://ocw.mit.edu/courses/18-409-topics-in-theoretical-computer-science-an-algorithmists-toolkit-fall-2009/", "description": "It covers a collection of geometric techniques that apply broadly in modern algorithm design."}, {"name": "Maji & Valiant. Theoretical Computer Science Toolkit. Purdue", "url": "https://www.cs.purdue.edu/homes/hmaji/teaching/Spring%202023/CS-58500-Spring-2023.html", "description": ""}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Books<a name=math_and_logic_tcs_toolkit_books></a>", "entries": [{"name": "Jukna. Extremal Combinatorics", "url": "https://web.vu.lt/mif/s.jukna/EC_Book_2nd/index.html", "description": "Combinatorial techniques written largely with an eye to their applications in TCS, and mostly in complexity"}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 General<a name=math_and_logic_discrete_mathematics_general></a>", "entries": [{"name": "Aspnes. Notes on Discrete Mathematics", "url": "https://www.cs.yale.edu/homes/aspnes/classes/202/notes.pdf", "description": "Fall 2017 of the Yale course CPSC 202a, Mathematical Tools for Computer Science."}, {"name": "Halpern. CS 2802: Discrete Structures - Honors. 2020. Cornell", "url": "https://www.cs.cornell.edu/courses/cs2802/2020fa/cs2802-20f-notes.html", "description": "Honors lecture notes on discrete math - [Homework](https://www.cs.cornell.edu/courses/cs2802/2020fa/cs2802-20f-homework.html)"}, {"name": "Rosen. Handbook of Discrete and Combinatorial Mathematics", "url": "https://www.taylorfrancis.com/books/handbook-discrete-combinatorial-mathematics-kenneth-rosen-douglas-shier-wayne-goddard/e/10.1201/9781315156484", "description": "A complete survey of roughly all topics of discrete math and their relevance to computing and communication engineering."}, {"name": "Rosen. Discrete Mathematics and Its Applications", "url": "https://www.mheducation.com/highered/product/discrete-mathematics-applications-rosen/M9780073383095.html", "description": "A canonical discrete math textbook, accessible for even high school students."}, {"name": "Rosenberg & Trystram. Understand Mathematics, Understand Computing: Discrete Mathematics That All Computing Students Should Know", "url": "https://www.springer.com/gp/book/9783030583750", "description": "It endows the reader with an operational conceptual and methodological understanding of discrete mathematics for computing"}, {"name": "Gries & Schneider. A Logical Approach to Discrete Math", "url": "https://www.springer.com/gp/book/9780387941158", "description": "It attempts to change the way we teach logic to beginning students. Instead of teaching logic as a subject in isolation, we regard it as a basic tool and show how to use it."}, {"name": "Introduction to Discrete Mathematics for Computer Science. UC San-Diego", "url": "https://www.coursera.org/specializations/discrete-mathematics", "description": "Learn the language of Computer Science. Learn the math that defines computer science, and practice applying it through mathematical proofs and Python code."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Probabilistic Method<a name=math_and_logic_discrete_mathematics_probabilistic_method></a>", "entries": [{"name": "Yufei. Probabilistic Methods in Combinatorics. MIT", "url": "https://ocw.mit.edu/courses/18-226-probabilistic-methods-in-combinatorics-fall-2022/pages/syllabus/", "description": ""}, {"name": "Luke Postle. Probablistic Methods. Waterloo", "url": "https://www.youtube.com/playlist?list=PL2BdWtDKMS6nRF72s3TOGyBqXwMVHYiLU", "description": ""}, {"name": "Alon & Spencer. The Probabilistic Method", "url": "https://www.wiley.com/en-us/The+Probabilistic+Method%2C+4th+Edition-p-9781119061953", "description": "A standard reference for researchers in probabilistic methods in combinatorics. Shows also connections to theoretical computer science."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Graph Theory<a name=math_and_logic_discrete_mathematics_graph_theory></a>", "entries": [{"name": "Graph Theory by Waterloo", "url": "https://www.youtube.com/playlist?list=PL2BdWtDKMS6mplieDd_vls0TBX9Fq2jht", "description": ""}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Other<a name=math_and_logic_discrete_mathematics_other></a>", "entries": [{"name": "Mariconda & Tonolo. Discrete Calculus: Methods for Counting", "url": "https://www.springer.com/gp/book/9783319030371", "description": "An introduction to combinatorics, finite calculus, formal series, recurrences, and approximations of sums. Readers will find also deep insights into a range of less common topics rarely considered within a single book."}, {"name": "Arora. The Computational Universe", "url": "https://www.cs.princeton.edu/courses/archive/spring11/cos116/lectures.php", "description": "Takes us on a broad sweep of scientific knowledge and related technologies: propositional logic of the ancient Greeks (microprocessors); quantum mechanics (silicon chips); network and system phenomena (internet and search engines); computational intractability (secure encryption); and efficient algorithms (genomic sequencing)."}, {"name": "Feynman. Feynman And Computation: Exploring The Limits Of Computers", "url": "https://www.taylorfrancis.com/books/feynman-computation-anthony-hey/e/10.1201/9780429500459", "description": ""}, {"name": "Susskind. Three Lectures on Complexity and Black Holes", "url": "https://link.springer.com/book/10.1007/978-3-030-45109-7", "description": "Important connections between thermodynamics and complexity are proposed and discussed. Pedagogically written, serves as a fundamental introduction to black holes and their complex physical interpretation"}, {"name": "6.893 Philosophy and Theoretical Computer Science. MIT", "url": "https://stellar.mit.edu/S/course/6/fa11/6.893/index.html", "description": "It examines the relevance of modern theoretical computer science to traditional questions in philosophy, and conversely, what philosophy can contribute to theoretical computer science."}, {"name": "Knuth. Things a Computer Scientist Rarely Talks About", "url": "https://web.stanford.edu/group/cslipublications/cslipublications/site/1575863278.shtml", "description": "A general illustration of relations between faith and science."}, {"name": "Floyd & Bokulich. Philosophical Explorations of the Legacy of Alan Turing: Turing 100", "url": "https://www.springer.com/gp/book/9783319532783", "description": "Turing\u2019s place in the history and philosophy of science."}, {"name": "Aaronson. Why Should Philosophers Care About Computational Complexity Theory", "url": "https://www.scottaaronson.com/papers/philos.pdf", "description": "It argues that computational complexity theory leads to new perspectives on the nature of mathematical knowledge and other philosophical questions."}, {"name": "Aharonov & Vazirani, Is Quantum Mechanics Falsifiable? A Computational Perspective on the Foundations of Quantum Mechanics", "url": "https://www.researchgate.net/publication/227171743_Is_Quantum_Mechanics_Falsifiable_A_computational_perspective_on_thefoundations_of_Quantum_Mechanics", "description": "It describes how quantum mechanics can be tested in the limit of high complexity regime by extending the usual scientific paradigm to include."}, {"name": "Walter Dean. Computational Complexity Theory and the Philosophy of Mathematics", "url": "https://academic.oup.com/philmat/article/27/3/381/5613215", "description": "It highlights the significance of complexity theory relative to questions traditionally asked by philosophers of mathematics while also attempting to isolate some new ones."}, {"name": "Stanford Encyclopedia of Philosophy. Computational Complexity Theory", "url": "https://plato.stanford.edu/entries/computational-complexity/", "description": "The foundations of complexity theory, and its potential significance on philosophy of computer science, philosophy of mathematics and epistemology."}, {"name": "Philip Davis. Toward a Philosophy of Computation", "url": "https://www.jstor.org/stable/40247755", "description": "Philosophical implication of mathematization and computerization of the world."}, {"name": "Sommaruga & Strahm. Turing\u2019s Revolution: The Impact of His Ideas about Computability", "url": "https://link.springer.com/book/10.1007/978-3-319-22156-4", "description": "A collection of historical, technical and philosophical papers."}, {"name": "Harry Lewis. Ideas That Created the Future: Classic Papers of Computer Science", "url": "https://mitpress.mit.edu/9780262045308/ideas-that-created-the-future/", "description": "Classic papers by thinkers ranging from Aristotle and Leibniz to Norbert Wiener and Gordon Moore that chart the evolution of computer science."}, {"name": "Building Bridges I", "url": "https://rd.springer.com/book/10.1007/978-3-540-85221-6", "description": ""}, {"name": "Fortnow & Homer. A Short History of Computational Complexity", "url": "https://www.researchgate.net/profile/Lance-Fortnow/publication/220530495_A_Short_History_of_Computational_Complexity/links/0deec52bd7ab603fef000000/A-Short-History-of-Computational-Complexity.pdf", "description": "A historical overview of computational complexity."}, {"name": "Goldreich. Providing Sound Foundations for Cryptography: On the Work of Shafi Goldwasser and Silvio Micali", "url": "http://www.wisdom.weizmann.ac.il/~oded/sst.html", "description": "It explains the remarkable work of Shafi and Silvio and their works' implications on foundations of cryptography."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Aggregators<a name=community_conferences__workshops_aggregators></a>", "entries": [{"name": "Hermann's Conferences in TCS", "url": "https://www.lix.polytechnique.fr/~hermann/conf.php", "description": "TCS Conferences collected in one table."}, {"name": "CS Theory Events Aggregator", "url": "https://cstheory-events.org/", "description": "An aggregator for CS theory workshops and schools."}, {"name": "Theory Announcements", "url": "https://dmatheorynet.blogspot.com/", "description": "DMANET spreads information on conferences, workshops, seminars etc. relating to discrete mathematics and algorithms."}, {"name": "Salamon's List", "url": "https://cstheory.stackexchange.com/a/7901/57686", "description": "Selected Conferences."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Live<a name=community_conferences__workshops_live></a>", "entries": [{"name": "Simons' Institute", "url": "https://simons.berkeley.edu/", "description": "Programs, Events, and workshops, that aim toward maximizing impact and engagement across the theoretical computer science community."}, {"name": "TCS+", "url": "https://www.youtube.com/user/TCSplusSeminars", "description": "A series of online seminars in theoretical computer science. The goal is to make engaging talks accessible to the widest possible audience."}, {"name": "CMU Theory", "url": "https://www.youtube.com/channel/UCWFp4UWNiOv71j0sPbdNiqw", "description": "Aims for a mathematical understanding of fundamental issues in Computer Science, and to use this understanding to produce better algorithms, protocols, and systems, as well as identify the inherent limitations of efficient computation."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Archived<a name=community_conferences__workshops_archived></a>", "entries": [{"name": "Turing Laureates Lectures", "url": "https://www.youtube.com/playlist?list=PLn0nrSd4xjjYCkOxtYqozyDuwt-4sC2L6", "description": ""}, {"name": "Computational Complexity", "url": "https://www.youtube.com/channel/UCzBw287tly0c2lE6a-9XymA", "description": "Collection of workshops."}, {"name": "EATCS Bulletin", "url": "https://eatcs.org/index.php/on-line-issues", "description": "Surveys, tutorials, conferences reports, events, open problems and solutions, PhD Theses, and entertaining contributions."}, {"name": "SIGACT News", "url": "https://dl.acm.org/loi/sigact", "description": "ACM's official theoretical computer science news feed."}, {"name": "Foundations and Trends in Theoretical Computer Science", "url": "https://www.nowpublishers.com/TCS", "description": "It provides monographs written by leaders that give tutorial coverage of subjects, research retrospectives as well as survey papers that offer state-of-the-art reviews fall within the scope of the journal."}, {"name": "Quanta Magazine", "url": "https://www.quantamagazine.org/tag/computational-complexity", "description": "Features breakthroughs in the field, written in an accessible style for non-experts."}, {"name": "ACM's SIGACT", "url": "https://sigact.org/", "description": ""}, {"name": "European Association of TCS", "url": "https://www.eatcs.org/", "description": ""}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Aggregators<a name=community_blogs_aggregators></a>", "entries": [{"name": "Theory of Computing Blog Aggregator", "url": "https://theory.report/", "description": "A blog Aggregator for all blogs related to TCS."}], "notes": [], "source": "Theoretical Computer Science"}, {"name": "Theoretical Computer Science \u2014 Selected Posts and Essays<a name=community_blogs_selected_posts_and_essays></a>", "entries": [{"name": "Omer Reingold. The Practice of Theory Research", "url": "https://omereingold.wordpress.com/cs-163-the-practice-of-theory-research/", "description": "A research methods course, concentrating on the how rather than the what. It focuses on research practices common for computer science theory research."}, {"name": "Omer Reingold. TOC: a Personal Perspective (2021)", "url": "https://theorydish.blog/2021/04/15/toc-a-personal-perspective-2021/", "description": "In celebration of 25 years for \u201cTOC: a Scientific Perspective (1996),\u201d by Oded Goldreich and Avi Wigderson. It spots the light on a criticism directed to TCS, that it is not as deep as Math and not as useful as CS."}, {"name": "Blum. You and Your Research: An Advice to a Beginning Graduate Student", "url": "https://www.cs.cmu.edu/~mblum/research/pdf/grad.html", "description": "Manuel Blum, A very popular figure in TCS, gives research advices for juniors."}, {"name": "Dijkstra. The Three Golden Rules for Successful Scientific Research", "url": "https://link.springer.com/chapter/10.1007%2F978-1-4612-5695-3_58", "description": "A note devoted to three rules that must be followed if you want to be successful in scientific research."}, {"name": "Goldreich. Essays and Opinions", "url": "http://www.wisdom.weizmann.ac.il/~oded/essays.html", "description": "Personal Essays by Oded Goldreich. They are very unique in their conceptual message of TCS and its community."}, {"name": "Barak. Advice for The Budding Theorist", "url": "https://windowsontheory.org/2015/11/03/advice-for-the-budding-theorist/", "description": "Tips for anyone interested in theoretical computer science."}, {"name": "Barak. Surveys For Students", "url": "https://thmatters.wordpress.com/surveys/", "description": "Surveys for high-school, undergraduate, and even researchers."}, {"name": "Barak. Non-technical or Less-technical Writings and Talks", "url": "https://www.boazbarak.org/informal/", "description": "Posts oriented more for a less-technically matured audience."}, {"name": "Lipton & Regan", "url": "https://rjlipton.wpcomstaging.com/2022/01/26/a-list-of-most-theory-blogs/", "description": "A list of theory blogs for computer science."}, {"name": "Karp. A Personal View of Computer Science at Berkeley", "url": "https://www2.eecs.berkeley.edu/bears/CS_Anniversary/karp-talk.html", "description": "Karp addresses: In 1968 computer science at Berkeley was problematic, with two departments working independently to develop programs, and his personal reflections."}, {"name": "Hamming. You and Your Research", "url": "https://www.cs.virginia.edu/~robins/YouAndYourResearch.html", "description": "Why do so few scientists make significant contributions and so many are forgotten in the long run? The talk is about what Hamming has learned."}, {"name": "Weinberg. Four Golden Lessons", "url": "https://www.nature.com/articles/426389a", "description": "Lessons for students and researchers given by Steven Weinberg."}, {"name": "Princeton's Companion. Advice to a Young Mathematician", "url": "http://assets.press.princeton.edu/chapters/gowers/gowers_VIII_6.pdf", "description": "Five contributors draw on their experiences of mathematical life and research, and to offer advice that they might have liked to receive when they were just setting-out on their careers."}, {"name": "Terry. Career Advice", "url": "https://terrytao.wordpress.com/career-advice/", "description": "A collection of various pieces of advice on academic career issues in mathematics, roughly arranged by the stage of career at which the advice is most pertinent."}, {"name": "Igor Pak. How to Start a Paper", "url": "https://igorpak.wordpress.com/2022/10/26/how-to-start-a-paper/", "description": "Why should you introduce a conceptual preliminary motivating the story of your paper."}, {"name": "Rubinstein & Weinberg. Research Masters in TCS", "url": "https://www.cs.princeton.edu/~smattw/masters/masters.html", "description": "A list of master programs in TCS."}, {"name": "CS Theory Jobs", "url": "https://cstheory-jobs.org", "description": "TCS Jobs announcements."}, {"name": "Yaroslavtsev. Hires spreadsheet 2022", "url": "http://grigory.us/blog/posts/", "description": "A crowdsourced spreadsheet created to collect information about theory hires in year 2022."}, {"name": "TCS Stack Exchange", "url": "https://cstheory.stackexchange.com/", "description": "Research-oriented Q\\&A of theoretical computer science."}, {"name": "TCS Subreddit", "url": "https://www.reddit.com/r/theoreticalcs", "description": "Theoretical computer science's subreddit."}, {"name": "Berkeley in the 80s", "url": "https://www.youtube.com/playlist?list=PLUFeA6y-5sFmXMJv2uAmMig3Urgfkg_2O", "description": "Interviews with eminent figures in Berkeley."}, {"name": "Simons' Theory Shorts", "url": "https://www.youtube.com/playlist?list=PLgKuh-lKre134Psz9KECgjuwJ47l3IvqW", "description": "Short accessible videos which populate theory of computation."}, {"name": "ACM ByteCast", "url": "https://www.youtube.com/playlist?list=PLn0nrSd4xjjbCHzgtvc9HDRU80HHaD0Lr", "description": "Researchers, practitioners and innovators who are at the intersection of research and practice, sharing their experiences, lessons, visions for the future."}, {"name": "The Legacy of Alan Turing: Pushing the Boundaries of Computation (Volume 18, Issue 3, Spring 2012). ACM, XRDS", "url": "https://dl.acm.org/toc/xrds/2012/18/3", "description": "ACM's students magazine special issue for theory of computation."}, {"name": "Fortnow. The Golden Ticket: P, NP, and the Search for the Impossible", "url": "https://goldenticket.fortnow.com", "description": "A nontechnical introduction to P-NP, its rich history, and its algorithmic implications for everything we do with computers and beyond."}, {"name": "Ausiello. The Making of a New Science: A Personal Journey Through the Early Years of Theoretical Computer Science", "url": "https://link.springer.com/book/10.1007/978-3-319-62680-2", "description": "A story about people, pioneers with diverse backgrounds and characters who established a new field."}, {"name": "Aaronson. Quantum Computing Since Democritus", "url": "https://assets.cambridge.org/97805211/99568/frontmatter/9780521199568_frontmatter.pdf", "description": "It covers an amazing array of topics. Beginning in antiquity with Democritus, it progresses through logic and set theory,computability and complexity theory, quantum computing, cryptography, the information content of quantum states, and the interpretation of quantum mechanics."}, {"name": "Deutsch. The Fabric of Reality: The Science of Parallel Universes and Its Implications", "url": "http://www.daviddeutsch.org.uk/books/the-fabric-of-reality/", "description": "The Fabric of Reality presents a startlingly integrated, rational and optimistic world view \u2013 the result of taking seriously the deepest ideas of modern science and the philosophy of science."}, {"name": "Papadimitriou. Turing: A Novel About Computation", "url": "https://mitpress.mit.edu/books/turing-novel-about-computation", "description": "The world of computation according to Turing, an interactive tutoring program, as told to star-crossed lovers: a novel."}, {"name": "Teuscher. Alan Turing: Life and Legacy of a Great. 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It is intended for the widest possible target audience, and contains some topics of relevance to philosophy."}, {"name": "Seth Lloyd. Programming the Universe\\_ A Quantum Computer Scientist Takes on the Cosmos", "url": "https://www.amazon.com/Programming-Universe-Quantum-Computer-Scientist-ebook/dp/B000GCFBP6", "description": "What if the universe is a giant quantum computer? It takes the reader throuogh a journey of computational model of the universe and its implications on physics."}, {"name": "The Fabric of Reality: The Science of Parallel Universes and Its Implications", "url": "https://www.amazon.com/Fabric-Reality-Parallel-Universes-Implications/dp/014027541X", "description": "It is of philosophical spirit, about revealing a unified fabric of reality explanation."}, {"name": "Anastasia Marchenkova", "url": "https://www.youtube.com/channel/UCzaYH6WeohiHKj3Ih_GdZdQ", "description": "Youtube channel focusing on quantum computing topics and general technology."}, {"name": "Circuit Sessions", "url": "https://www.youtube.com/watch?v=Omv-bPvQ3E8\\&list=PLOFEBzvs-VvrRlVz7wqaqmaMZj_ZK2Afe", "description": "Qiskit series exploring the value and use of quantum circuits through a lecture series by academics and industry researchers."}, {"name": "Coding with Qiskit video series", "url": "https://www.youtube.com/playlist?list=PLOFEBzvs-Vvp2xg9-POLJhQwtVktlYGbY", "description": "YouTube video series showing how to write quantum algorithms."}, {"name": "Introduction to Quantum Programming", "url": "https://skillsmatter.com/skillscasts/11929-programming-the-world-s-first-quantum-computers-using-forest", "description": "The why and how of quantum programming with a focus on the Python Forest SDK from Rigetti."}, {"name": "Ph/CS 219A at Caltech: Quantum Computation", "url": "https://www.youtube.com/playlist?list=PL0ojjrEqIyPy-1RRD8cTD_lF1hflo89Iu", "description": "Lectures for the first term of a course on quantum computation taught at Caltech in Fall 2020, by John Preskill."}, {"name": "Quantum Computing for Computer Scientists", "url": "https://www.youtube.com/watch?v=F_Riqjdh2oM", "description": "Microsoft Research Talk on introductory quantum computing for computer scientists. Duration: 1 hour, 28 minutes."}, {"name": "Quantum Computing for the Determined", "url": "https://www.youtube.com/playlist?list=PL1826E60FD05B44E4", "description": "A series of lectures on quantum computing basics by [Michael Nielsen](http://michaelnielsen.org/)."}, {"name": "Quantum Computation and Information at CMU", "url": "https://www.youtube.com/playlist?list=PLm3J0oaFux3YL5qLskC6xQ24JpMwOAeJz", "description": "A series of lectures on quantum computing by [Professor O'Donnell at CMU](https://www.cs.cmu.edu/~odonnell/quantum18/)."}, {"name": "Quantum Impact", "url": "https://www.youtube.com/playlist?list=PLFPUGjQjckXFsOEBvvaDeIk5GxctP0ZhX", "description": "Understand how quantum computing can help scientists solve some of the world's most challenging problems such as land optimisation."}, {"name": "Quantum Computing Seminar Series", "url": "https://www.youtube.com/watch?v=iKgysY097Ok\\&list=PLOFEBzvs-Vvr0uEoGFo08n4-WrM_8fft2", "description": "Qiskit series discussing recent research."}, {"name": "Quantum Mechanics by PBS Space Time", "url": "https://www.youtube.com/playlist?list=PLsPUh22kYmNCGaVGuGfKfJl-6RdHiCjo1", "description": "YouTube playlist targeting a wide audience with generic concepts around Quantum Mechanics and Computing."}, {"name": "D-Wave Leap Community", "url": "https://support.dwavesys.com/hc/en-us/community/topics", "description": "D-Wave System's Leap Community Forum."}, {"name": "IBM Q Community", "url": "https://community.qiskit.org/", "description": "IBM Q Community page with list of upcoming events and latest programs."}, {"name": "IBM Q Qiskit Community", "url": "https://qiskit.slack.com/", "description": "Slack Channel for Qiskit and quantum computing discussions."}, {"name": "Mike & Ike Subreddit", "url": "https://www.reddit.com/r/MikeAndIke/", "description": "Discussion about the book Quantum Computation and Quantum Information."}, {"name": "Pennylane Discussion Forum", "url": "https://discuss.pennylane.ai/", "description": "Discussion forum for quantum machine learning, both using simulations and on near term hardware."}, {"name": "Quantum Computing Slack Community", "url": "https://quantum-computing.herokuapp.com/", "description": "Slack channels for discussion of quantum computing."}, {"name": "Quantum Computing StackExchange", "url": "http://quantumcomputing.stackexchange.com/", "description": "Question and answer site for quantum computing."}, {"name": "Quantum Computing Subreddit", "url": "https://www.reddit.com/r/QuantumComputing/", "description": "Community for discussion of many quantum computing topics."}, {"name": "Quantum Inferiority", "url": "https://matrix.to/#/#quantum_inferiority:chat.weho.st", "description": "Quantum Programming Chat on matrix, language agnostic, expertise not required."}, {"name": "Quantum Information and Quantum Computer Scientists of the World Unite", "url": "https://www.facebook.com/groups/qinfo.scientists.unite/", "description": "Facebook group for quantum research discussion."}, {"name": "Q# Community", "url": "https://qsharp.community", "description": "Community contributed libraries, projects, and demos for the Q# language."}, {"name": "Rigetti Community", "url": "https://join.slack.com/t/rigetti-forest/shared_invite/enQtNTUyNTE1ODg3MzE2LWExZWU5OTE4YTJhMmE2NGNjMThjOTM1MjlkYTA5ZmUxNTJlOTVmMWE0YjA3Y2M2YmQzNTZhNTBlMTYyODRjMzA", "description": "Slack Channel for Rigetti and quantum computing discussions."}, {"name": "Strawberry Fields Community", "url": "https://u.strawberryfields.ai/slack", "description": "Slack channel for Xanadu and Strawberry Fields photonic/CV quantum computing discussions."}, {"name": "Meet the meQuanics", "url": "https://soundcloud.com/mequanics", "description": "Interviews with key quantum computing figures, aimed at the lay person."}, {"name": "Quantum Computing Now", "url": "https://anchor.fm/quantumcomputingnow", "description": "Podcast by Ethan Hansen covering three main topics: the basics of quantum computing, interviews and the latest news."}, {"name": "The Qubit Guy's Podcast", "url": "https://www.classiq.io/insights#podcasts", "description": "Podcast by Yuval Boger from [Classiq Technologies](https://www.classiq.io) featuring thought leaders from the quantum computing industry."}, {"name": "Quantum Computing in Portuguese", "url": "https://github.com/smendoncabruna/ComputacaoQuantica", "description": "A repository with curated content on Quantum Computing in Portuguese.", "stars": "78"}], "notes": [], "source": "Quantum Computing"}, {"name": "Deep Learning Resources", "entries": [{"name": "Trends", "url": "#trends", "description": ""}, {"name": "Online classes", "url": "#online-classes", "description": ""}, {"name": "Books", "url": "#books", "description": ""}, {"name": "Posts and Articles", "url": "#posts-and-articles", "description": ""}, {"name": "Practical resources", "url": "#practical-resources", "description": ""}, {"name": "Other Math Theory", "url": "#other-math-theory", "description": ""}, {"name": "Papers", "url": "#papers", "description": ""}, {"name": "YouTube and Videos", "url": "#youtube", "description": ""}, {"name": "Misc. Hubs and Links", "url": "#misc-hubs-and-links", "description": ""}, {"name": "License", "url": "#license", "description": ""}, {"name": "Machine Learning by Andrew Ng on Coursera", "url": "https://www.coursera.org/learn/machine-learning", "description": "Renown entry-level online class with [certificate](https://www.coursera.org/account/accomplishments/verify/DXPXHYFNGKG3). Taught by: Andrew Ng, Associate Professor, Stanford University; Chief Scientist, Baidu; Chairman and Co-founder, Coursera."}, {"name": "Deep Learning Specialization by Andrew Ng on Coursera", "url": "https://www.coursera.org/specializations/deep-learning", "description": "New series of 5 Deep Learning courses by Andrew Ng, now with Python rather than Matlab/Octave, and which leads to a [specialization certificate](https://www.coursera.org/account/accomplishments/specialization/U7VNC3ZD9YD8)."}, {"name": "Deep Learning by Google", "url": "https://www.udacity.com/course/deep-learning--ud730", "description": "Good intermediate to advanced-level course covering high-level deep learning concepts, I found it helps to get creative once the basics are acquired."}, {"name": "Machine Learning for Trading by Georgia Tech", "url": "https://www.udacity.com/course/machine-learning-for-trading--ud501", "description": "Interesting class for acquiring basic knowledge of machine learning applied to trading and some AI and finance concepts. I especially liked the section on Q-Learning."}, {"name": "Neural networks class by Hugo Larochelle, Universit\u00e9 de Sherbrooke", "url": "https://www.youtube.com/playlist?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH", "description": "Interesting class about neural networks available online for free by Hugo Larochelle, yet I have watched a few of those videos."}, {"name": "GLO-4030/7030 Apprentissage par r\u00e9seaux de neurones profonds", "url": "https://ulaval-damas.github.io/glo4030/", "description": "This is a class given by Philippe Gigu\u00e8re, Professor at University Laval. I especially found awesome its rare visualization of the multi-head attention mechanism, which can be contemplated at the [slide 28 of week 13's class](http://www2.ift.ulaval.ca/\\~pgiguere/cours/DeepLearning/09-Attention.pdf)."}, {"name": "Deep Learning & Recurrent Neural Networks (DL\\&RNN)", "url": "https://www.neuraxio.com/en/time-series-solution", "description": "The most richly dense, accelerated course on the topic of Deep Learning & Recurrent Neural Networks (scroll at the end)."}, {"name": "Clean Code", "url": "https://www.amazon.ca/Clean-Code-Handbook-Software-Craftsmanship/dp/0132350882", "description": "Get back to the basics you fool! Learn how to do Clean Code for your career. This is by far the best book I've read even if this list is related to Deep Learning."}, {"name": "Clean Coder", "url": "https://www.amazon.ca/Clean-Coder-Conduct-Professional-Programmers/dp/0137081073", "description": "Learn how to be professional as a coder and how to interact with your manager. This is important for any coding career."}, {"name": "How to Create a Mind", "url": "https://www.amazon.com/How-Create-Mind-Thought-Revealed/dp/B009VSFXZ4", "description": "The audio version is nice to listen to while commuting. This book is motivating about reverse-engineering the mind and thinking on how to code AI."}, {"name": "Neural Networks and Deep Learning", "url": "http://neuralnetworksanddeeplearning.com/index.html", "description": "This book covers many of the core concepts behind neural networks and deep learning."}, {"name": "Deep Learning - An MIT Press book", "url": "http://www.deeplearningbook.org/", "description": "Yet halfway through the book, it contains satisfying math content on how to think about actual deep learning."}, {"name": "Some other books I have read", "url": "https://books.google.ca/books?hl=en\\&as_coll=4\\&num=100\\&uid=103409002069648430166\\&source=gbs_slider_cls_metadata_4_mylibrary_title", "description": "Some books listed here are less related to deep learning but are still somehow relevant to this list."}, {"name": "Predictions made by Ray Kurzweil", "url": "https://en.wikipedia.org/wiki/Predictions_made_by_Ray_Kurzweil", "description": "List of mid to long term futuristic predictions made by Ray Kurzweil."}, {"name": "The Unreasonable Effectiveness of Recurrent Neural Networks", "url": "http://karpathy.github.io/2015/05/21/rnn-effectiveness/", "description": "MUST READ post by Andrej Karpathy - this is what motivated me to learn RNNs, it demonstrates what it can achieve in the most basic form of NLP."}, {"name": "Neural Networks, Manifolds, and Topology", "url": "http://colah.github.io/posts/2014-03-NN-Manifolds-Topology/", "description": "Fresh look on how neurons map information."}, {"name": "Understanding LSTM Networks", "url": "http://colah.github.io/posts/2015-08-Understanding-LSTMs/", "description": "Explains the LSTM cells' inner workings, plus, it has interesting links in conclusion."}, {"name": "Attention and Augmented Recurrent Neural Networks", "url": "http://distill.pub/2016/augmented-rnns/", "description": "Interesting for visual animations, it is a nice intro to attention mechanisms as an example."}, {"name": "Recommending music on Spotify with deep learning", "url": "http://benanne.github.io/2014/08/05/spotify-cnns.html", "description": "Awesome for doing clustering on audio - post by an intern at Spotify."}, {"name": "Announcing SyntaxNet: The World\u2019s Most Accurate Parser Goes Open Source", "url": "https://research.googleblog.com/2016/05/announcing-syntaxnet-worlds-most.html", "description": "Parsey McParseface's birth, a neural syntax tree parser."}, {"name": "Improving Inception and Image Classification in TensorFlow", "url": "https://research.googleblog.com/2016/08/improving-inception-and-image.html", "description": "Very interesting CNN architecture (e.g.: the inception-style convolutional layers is promising and efficient in terms of reducing the number of parameters)."}, {"name": "WaveNet: A Generative Model for Raw Audio", "url": "https://deepmind.com/blog/wavenet-generative-model-raw-audio/", "description": "Realistic talking machines: perfect voice generation."}, {"name": "Fran\u00e7ois Chollet's Twitter", "url": "https://twitter.com/fchollet", "description": "Author of Keras - has interesting Twitter posts and innovative ideas."}, {"name": "Neuralink and the Brain\u2019s Magical Future", "url": "http://waitbutwhy.com/2017/04/neuralink.html", "description": "Thought provoking article about the future of the brain and brain-computer interfaces."}, {"name": "Migrating to Git LFS for Developing Deep Learning Applications with Large Files", "url": "http://vooban.com/en/tips-articles-geek-stuff/migrating-to-git-lfs-for-developing-deep-learning-applications-with-large-files/", "description": "Easily manage huge files in your private Git projects."}, {"name": "The future of deep learning", "url": "https://blog.keras.io/the-future-of-deep-learning.html", "description": "Fran\u00e7ois Chollet's thoughts on the future of deep learning."}, {"name": "Discover structure behind data with decision trees", "url": "http://vooban.com/en/tips-articles-geek-stuff/discover-structure-behind-data-with-decision-trees/", "description": "Grow decision trees and visualize them, infer the hidden logic behind data."}, {"name": "Hyperopt tutorial for Optimizing Neural Networks\u2019 Hyperparameters", "url": "http://vooban.com/en/tips-articles-geek-stuff/hyperopt-tutorial-for-optimizing-neural-networks-hyperparameters/", "description": "Learn to slay down hyperparameter spaces automatically rather than by hand."}, {"name": "Estimating an Optimal Learning Rate For a Deep Neural Network", "url": "https://medium.com/@surmenok/estimating-optimal-learning-rate-for-a-deep-neural-network-ce32f2556ce0", "description": "Clever trick to estimate an optimal learning rate prior any single full training."}, {"name": "The Annotated Transformer", "url": "http://nlp.seas.harvard.edu/2018/04/03/attention.html", "description": "Good for understanding the \"Attention Is All You Need\" (AIAYN) paper."}, {"name": "The Illustrated Transformer", "url": "http://jalammar.github.io/illustrated-transformer/", "description": "Also good for understanding the \"Attention Is All You Need\" (AIAYN) paper."}, {"name": "Improving Language Understanding with Unsupervised Learning", "url": "https://blog.openai.com/language-unsupervised/", "description": "SOTA across many NLP tasks from unsupervised pretraining on huge corpus."}, {"name": "NLP's ImageNet moment has arrived", "url": "https://thegradient.pub/nlp-imagenet/", "description": "All hail NLP's ImageNet moment."}, {"name": "The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning)", "url": "https://jalammar.github.io/illustrated-bert/", "description": "Understand the different approaches used for NLP's ImageNet moment."}, {"name": "Uncle Bob's Principles Of OOD", "url": "http://butunclebob.com/ArticleS.UncleBob.PrinciplesOfOod", "description": "Not only the SOLID principles are needed for doing clean code, but the furtherless known REP, CCP, CRP, ADP, SDP and SAP principles are very important for developping huge software that must be bundled in different separated packages."}, {"name": "Why do 87% of data science projects never make it into production?", "url": "https://venturebeat.com/2019/07/19/why-do-87-of-data-science-projects-never-make-it-into-production/", "description": "Data is not to be overlooked, and communication between teams and data scientists is important to integrate solutions properly."}, {"name": "The real reason most ML projects fail", "url": "https://towardsdatascience.com/what-is-the-main-reason-most-ml-projects-fail-515d409a161f", "description": "Focus on clear business objectives, avoid pivots of algorithms unless you have really clean code, and be able to know when what you coded is \"good enough\"."}, {"name": "SOLID Machine Learning", "url": "https://www.umaneo.com/post/the-solid-principles-applied-to-machine-learning", "description": "The SOLID principles applied to Machine Learning."}], "notes": [], "source": "Deep Learning Resources"}, {"name": "Deep Learning Resources \u2014 Librairies and Implementations", "entries": [{"name": "Neuraxle, a framwework for machine learning pipelines", "url": "https://github.com/Neuraxio/Neuraxle", "description": "The best framework for structuring and deploying your machine learning projects, and which is also compatible with most framework (e.g.: Scikit-Learn, TensorFlow, PyTorch, Keras, and so forth).", "stars": "543"}, {"name": "TensorFlow's GitHub repository", "url": "https://github.com/tensorflow/tensorflow", "description": "Most known deep learning framework, both high-level and low-level while staying flexible.", "stars": "169k"}, {"name": "skflow", "url": "https://github.com/tensorflow/skflow", "description": "TensorFlow wrapper \u00e0 la scikit-learn.", "stars": "3.2k"}, {"name": "Keras", "url": "https://keras.io/", "description": "Keras is another intersting deep learning framework like TensorFlow, it is mostly high-level."}, {"name": "carpedm20's repositories", "url": "https://github.com/carpedm20", "description": "Many interesting neural network architectures are implemented by the Korean guy Taehoon Kim, A.K.A. carpedm20."}, {"name": "carpedm20/NTM-tensorflow", "url": "https://github.com/carpedm20/NTM-tensorflow", "description": "Neural Turing Machine TensorFlow implementation.", "stars": "1k"}, {"name": "Deep learning for lazybones", "url": "http://oduerr.github.io/blog/2016/04/06/Deep-Learning_for_lazybones", "description": "Transfer learning tutorial in TensorFlow for vision from high-level embeddings of a pretrained CNN, AlexNet 2012."}, {"name": "LSTM for Human Activity Recognition (HAR)", "url": "https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition", "description": "Tutorial of mine on using LSTMs on time series for classification.", "stars": "3.1k"}, {"name": "Deep stacked residual bidirectional LSTMs for HAR", "url": "https://github.com/guillaume-chevalier/HAR-stacked-residual-bidir-LSTMs", "description": "Improvements on the previous project.", "stars": "280"}, {"name": "Sequence to Sequence (seq2seq) Recurrent Neural Network (RNN) for Time Series Prediction", "url": "https://github.com/guillaume-chevalier/seq2seq-signal-prediction", "description": "Tutorial of mine on how to predict temporal sequences of numbers - that may be multichannel.", "stars": "1k"}, {"name": "Hyperopt for a Keras CNN on CIFAR-100", "url": "https://github.com/guillaume-chevalier/Hyperopt-Keras-CNN-CIFAR-100", "description": "Auto (meta) optimizing a neural net (and its architecture) on the CIFAR-100 dataset.", "stars": "103"}, {"name": "ML / DL repositories I starred", "url": "https://github.com/guillaume-chevalier?direction=desc\\&page=1\\&q=machine+OR+deep+OR+learning+OR+rnn+OR+lstm+OR+cnn\\&sort=stars\\&tab=stars\\&utf8=%E2%9C%93", "description": "GitHub is full of nice code samples & projects."}, {"name": "Smoothly Blend Image Patches", "url": "https://github.com/guillaume-chevalier/Smoothly-Blend-Image-Patches", "description": "Smooth patch merger for [semantic segmentation with a U-Net](https://vooban.com/en/tips-articles-geek-stuff/satellite-image-segmentation-workflow-with-u-net/).", "stars": "0"}, {"name": "Self Governing Neural Networks (SGNN): the Projection Layer", "url": "https://github.com/guillaume-chevalier/SGNN-Self-Governing-Neural-Networks-Projection-Layer", "description": "With this, you can use words in your deep learning models without training nor loading embeddings.", "stars": "22"}, {"name": "Neuraxle", "url": "https://github.com/Neuraxio/Neuraxle", "description": "Neuraxle is a Machine Learning (ML) library for building neat pipelines, providing the right abstractions to both ease research, development, and deployment of your ML applications.", "stars": "543"}, {"name": "Clean Machine Learning, a Coding Kata", "url": "https://github.com/Neuraxio/Kata-Clean-Machine-Learning-From-Dirty-Code", "description": "Learn the good design patterns to use for doing Machine Learning the good way, by practicing.", "stars": "13"}], "notes": [], "source": "Deep Learning Resources"}, {"name": "Deep Learning Resources \u2014 Some Datasets", "entries": [{"name": "UCI Machine Learning Repository", "url": "https://archive.ics.uci.edu/ml/datasets.html", "description": "TONS of datasets for ML."}, {"name": "Cornell Movie--Dialogs Corpus", "url": "http://www.cs.cornell.edu/\\~cristian/Cornell_Movie-Dialogs_Corpus.html", "description": "This could be used for a chatbot."}, {"name": "SQuAD The Stanford Question Answering Dataset", "url": "https://rajpurkar.github.io/SQuAD-explorer/", "description": "Question answering dataset that can be explored online, and a list of models performing well on that dataset."}, {"name": "LibriSpeech ASR corpus", "url": "http://www.openslr.org/12/", "description": "Huge free English speech dataset with balanced genders and speakers, that seems to be of high quality."}, {"name": "Awesome Public Datasets", "url": "https://github.com/caesar0301/awesome-public-datasets", "description": "An awesome list of public datasets.", "stars": "52k"}, {"name": "SentEval: An Evaluation Toolkit for Universal Sentence Representations", "url": "https://arxiv.org/abs/1803.05449", "description": "A Python framework to benchmark your sentence representations on many datasets (NLP tasks)."}, {"name": "ParlAI: A Dialog Research Software Platform", "url": "https://arxiv.org/abs/1705.06476", "description": "Another Python framework to benchmark your sentence representations on many datasets (NLP tasks)."}], "notes": [], "source": "Deep Learning Resources"}, {"name": "Deep Learning Resources \u2014 Gradient Descent Algorithms & Optimization Theory", "entries": [{"name": "Neural Networks and Deep Learning, ch.2", "url": "http://neuralnetworksanddeeplearning.com/chap2.html", "description": "Overview on how does the backpropagation algorithm works."}, {"name": "Neural Networks and Deep Learning, ch.4", "url": "http://neuralnetworksanddeeplearning.com/chap4.html", "description": "A visual proof that neural nets can compute any function."}, {"name": "Yes you should understand backprop", "url": "https://medium.com/@karpathy/yes-you-should-understand-backprop-e2f06eab496b#.mr5wq61fb", "description": "Exposing backprop's caveats and the importance of knowing that while training models."}, {"name": "Artificial Neural Networks: Mathematics of Backpropagation", "url": "http://briandolhansky.com/blog/2013/9/27/artificial-neural-networks-backpropagation-part-4", "description": "Picturing backprop, mathematically."}, {"name": "Deep Learning Lecture 12: Recurrent Neural Nets and LSTMs", "url": "https://www.youtube.com/watch?v=56TYLaQN4N8", "description": "Unfolding of RNN graphs is explained properly, and potential problems about gradient descent algorithms are exposed."}, {"name": "Gradient descent algorithms in a saddle point", "url": "http://sebastianruder.com/content/images/2016/09/saddle_point_evaluation_optimizers.gif", "description": "Visualize how different optimizers interacts with a saddle points."}, {"name": "Gradient descent algorithms in an almost flat landscape", "url": "https://devblogs.nvidia.com/wp-content/uploads/2015/12/NKsFHJb.gif", "description": "Visualize how different optimizers interacts with an almost flat landscape."}, {"name": "Gradient Descent", "url": "https://www.youtube.com/watch?v=F6GSRDoB-Cg", "description": "Okay, I already listed Andrew NG's Coursera class above, but this video especially is quite pertinent as an introduction and defines the gradient descent algorithm."}, {"name": "Gradient Descent: Intuition", "url": "https://www.youtube.com/watch?v=YovTqTY-PYY", "description": "What follows from the previous video: now add intuition."}, {"name": "Gradient Descent in Practice 2: Learning Rate", "url": "https://www.youtube.com/watch?v=gX6fZHgfrow", "description": "How to adjust the learning rate of a neural network."}, {"name": "The Problem of Overfitting", "url": "https://www.youtube.com/watch?v=u73PU6Qwl1I", "description": "A good explanation of overfitting and how to address that problem."}, {"name": "Diagnosing Bias vs Variance", "url": "https://www.youtube.com/watch?v=ewogYw5oCAI", "description": "Understanding bias and variance in the predictions of a neural net and how to address those problems."}, {"name": "Self-Normalizing Neural Networks", "url": "https://arxiv.org/pdf/1706.02515.pdf", "description": "Appearance of the incredible SELU activation function."}, {"name": "Learning to learn by gradient descent by gradient descent", "url": "https://arxiv.org/pdf/1606.04474.pdf", "description": "RNN as an optimizer: introducing the L2L optimizer, a meta-neural network."}], "notes": [], "source": "Deep Learning Resources"}, {"name": "Deep Learning Resources \u2014 Complex Numbers & Digital Signal Processing", "entries": [{"name": "Window Functions", "url": "https://en.wikipedia.org/wiki/Window_function", "description": "Wikipedia page that lists some of the known window functions - note that the [Hann-Poisson window](https://en.wikipedia.org/wiki/Window_function#Hann%E2%80%93Poisson_window) is specially interesting for greedy hill-climbing algorithms (like gradient descent for example)."}, {"name": "MathBox, Tools for Thought Graphical Algebra and Fourier Analysis", "url": "https://acko.net/files/gltalks/toolsforthought/", "description": "New look on Fourier analysis."}, {"name": "How to Fold a Julia Fractal", "url": "http://acko.net/blog/how-to-fold-a-julia-fractal/", "description": "Animations dealing with complex numbers and wave equations."}, {"name": "Animate Your Way to Glory, Math and Physics in Motion", "url": "http://acko.net/blog/animate-your-way-to-glory/", "description": "Convergence methods in physic engines, and applied to interaction design."}, {"name": "Animate Your Way to Glory - Part II, Math and Physics in Motion", "url": "http://acko.net/blog/animate-your-way-to-glory-pt2/", "description": "Nice animations for rotation and rotation interpolation with Quaternions, a mathematical object for handling 3D rotations."}, {"name": "Filtering signal, plotting the STFT and the Laplace transform", "url": "https://github.com/guillaume-chevalier/filtering-stft-and-laplace-transform", "description": "Simple Python demo on signal processing.", "stars": "53"}], "notes": [], "source": "Deep Learning Resources"}, {"name": "Deep Learning Resources \u2014 Recurrent Neural Networks", "entries": [{"name": "Deep Learning in Neural Networks: An Overview", "url": "https://arxiv.org/pdf/1404.7828v4.pdf", "description": "You\\_Again's summary/overview of deep learning, mostly about RNNs."}, {"name": "Bidirectional Recurrent Neural Networks", "url": "http://www.di.ufpe.br/\\~fnj/RNA/bibliografia/BRNN.pdf", "description": "Better classifications with RNNs with bidirectional scanning on the time axis."}, {"name": "Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation", "url": "https://arxiv.org/pdf/1406.1078v3.pdf", "description": "Two networks in one combined into a seq2seq (sequence to sequence) Encoder-Decoder architecture. RNN Encoder\u2013Decoder with 1000 hidden units. Adadelta optimizer."}, {"name": "Sequence to Sequence Learning with Neural Networks", "url": "http://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf", "description": "4 stacked LSTM cells of 1000 hidden size with reversed input sentences, and with beam search, on the WMT\u201914 English to French dataset."}, {"name": "Exploring the Limits of Language Modeling", "url": "https://arxiv.org/pdf/1602.02410.pdf", "description": "Nice recursive models using word-level LSTMs on top of a character-level CNN using an overkill amount of GPU power."}, {"name": "Neural Machine Translation and Sequence-to-sequence Models: A Tutorial", "url": "https://arxiv.org/pdf/1703.01619.pdf", "description": "Interesting overview of the subject of NMT, I mostly read part 8 about RNNs with attention as a refresher."}, {"name": "Exploring the Depths of Recurrent Neural Networks with Stochastic Residual Learning", "url": "https://cs224d.stanford.edu/reports/PradhanLongpre.pdf", "description": "Basically, residual connections can be better than stacked RNNs in the presented case of sentiment analysis."}, {"name": "Pixel Recurrent Neural Networks", "url": "https://arxiv.org/pdf/1601.06759.pdf", "description": "Nice for photoshop-like \"content aware fill\" to fill missing patches in images."}, {"name": "Adaptive Computation Time for Recurrent Neural Networks", "url": "https://arxiv.org/pdf/1603.08983v4.pdf", "description": "Let RNNs decide how long they compute. I would love to see how well would it combines to Neural Turing Machines. Interesting interactive visualizations on the subject can be found [here](http://distill.pub/2016/augmented-rnns/)."}], "notes": [], "source": "Deep Learning Resources"}, {"name": "Deep Learning Resources \u2014 Convolutional Neural Networks", "entries": [{"name": "What is the Best Multi-Stage Architecture for Object Recognition?", "url": "http://yann.lecun.com/exdb/publis/pdf/jarrett-iccv-09.pdf", "description": "Awesome for the use of \"local contrast normalization\"."}, {"name": "ImageNet Classification with Deep Convolutional Neural Networks", "url": "http://www.cs.toronto.edu/\\~fritz/absps/imagenet.pdf", "description": "AlexNet, 2012 ILSVRC, breakthrough of the ReLU activation function."}, {"name": "Visualizing and Understanding Convolutional Networks", "url": "https://arxiv.org/pdf/1311.2901v3.pdf", "description": "For the \"deconvnet layer\"."}, {"name": "Fast and Accurate Deep Network Learning by Exponential Linear Units", "url": "https://arxiv.org/pdf/1511.07289v1.pdf", "description": "ELU activation function for CIFAR vision tasks."}, {"name": "Very Deep Convolutional Networks for Large-Scale Image Recognition", "url": "https://arxiv.org/pdf/1409.1556v6.pdf", "description": "Interesting idea of stacking multiple 3x3 conv+ReLU before pooling for a bigger filter size with just a few parameters. There is also a nice table for \"ConvNet Configuration\"."}, {"name": "Going Deeper with Convolutions", "url": "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Szegedy_Going_Deeper_With_2015_CVPR_paper.pdf", "description": "GoogLeNet: Appearance of \"Inception\" layers/modules, the idea is of parallelizing conv layers into many mini-conv of different size with \"same\" padding, concatenated on depth."}, {"name": "Highway Networks", "url": "https://arxiv.org/pdf/1505.00387v2.pdf", "description": "Highway networks: residual connections."}, {"name": "Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift", "url": "https://arxiv.org/pdf/1502.03167v3.pdf", "description": "Batch normalization (BN): to normalize a layer's output by also summing over the entire batch, and then performing a linear rescaling and shifting of a certain trainable amount."}, {"name": "U-Net: Convolutional Networks for Biomedical Image Segmentation", "url": "https://arxiv.org/pdf/1505.04597.pdf", "description": "The U-Net is an encoder-decoder CNN that also has skip-connections, good for image segmentation at a per-pixel level."}, {"name": "Deep Residual Learning for Image Recognition", "url": "https://arxiv.org/pdf/1512.03385v1.pdf", "description": "Very deep residual layers with batch normalization layers - a.k.a. \"how to overfit any vision dataset with too many layers and make any vision model work properly at recognition given enough data\"."}, {"name": "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning", "url": "https://arxiv.org/pdf/1602.07261v2.pdf", "description": "For improving GoogLeNet with residual connections."}, {"name": "WaveNet: a Generative Model for Raw Audio", "url": "https://arxiv.org/pdf/1609.03499v2.pdf", "description": "Epic raw voice/music generation with new architectures based on dilated causal convolutions to capture more audio length."}, {"name": "Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling", "url": "https://arxiv.org/pdf/1610.07584v2.pdf", "description": "3D-GANs for 3D model generation and fun 3D furniture arithmetics from embeddings (think like word2vec word arithmetics with 3D furniture representations)."}, {"name": "Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour", "url": "https://research.fb.com/publications/ImageNet1kIn1h/", "description": "Incredibly fast distributed training of a CNN."}, {"name": "Densely Connected Convolutional Networks", "url": "https://arxiv.org/pdf/1608.06993.pdf", "description": "Best Paper Award at CVPR 2017, yielding improvements on state-of-the-art performances on CIFAR-10, CIFAR-100 and SVHN datasets, this new neural network architecture is named DenseNet."}, {"name": "The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation", "url": "https://arxiv.org/pdf/1611.09326.pdf", "description": "Merges the ideas of the U-Net and the DenseNet, this new neural network is especially good for huge datasets in image segmentation."}, {"name": "Prototypical Networks for Few-shot Learning", "url": "https://arxiv.org/pdf/1703.05175.pdf", "description": "Use a distance metric in the loss to determine to which class does an object belongs to from a few examples."}], "notes": [], "source": "Deep Learning Resources"}, {"name": "Deep Learning Resources \u2014 Attention Mechanisms", "entries": [{"name": "Neural Machine Translation by Jointly Learning to Align and Translate", "url": "https://arxiv.org/pdf/1409.0473.pdf", "description": "Attention mechanism for LSTMs! Mostly, figures and formulas and their explanations revealed to be useful to me. I gave a talk on that paper [here](https://www.youtube.com/watch?v=QuvRWevJMZ4)."}, {"name": "Neural Turing Machines", "url": "https://arxiv.org/pdf/1410.5401v2.pdf", "description": "Outstanding for letting a neural network learn an algorithm with seemingly good generalization over long time dependencies. Sequences recall problem."}, {"name": "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention", "url": "https://arxiv.org/pdf/1502.03044.pdf", "description": "LSTMs' attention mechanisms on CNNs feature maps does wonders."}, {"name": "Teaching Machines to Read and Comprehend", "url": "https://arxiv.org/pdf/1506.03340v3.pdf", "description": "A very interesting and creative work about textual question answering, what a breakthrough, there is something to do with that."}, {"name": "Effective Approaches to Attention-based Neural Machine Translation", "url": "https://arxiv.org/pdf/1508.04025.pdf", "description": "Exploring different approaches to attention mechanisms."}, {"name": "Matching Networks for One Shot Learning", "url": "https://arxiv.org/pdf/1606.04080.pdf", "description": "Interesting way of doing one-shot learning with low-data by using an attention mechanism and a query to compare an image to other images for classification."}, {"name": "Google\u2019s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation", "url": "https://arxiv.org/pdf/1609.08144.pdf", "description": "In 2016: stacked residual LSTMs with attention mechanisms on encoder/decoder are the best for NMT (Neural Machine Translation)."}, {"name": "Hybrid computing using a neural network with dynamic external memory", "url": "http://www.nature.com/articles/nature20101.epdf?author_access_token=ImTXBI8aWbYxYQ51Plys8NRgN0jAjWel9jnR3ZoTv0MggmpDmwljGswxVdeocYSurJ3hxupzWuRNeGvvXnoO8o4jTJcnAyhGuZzXJ1GEaD-Z7E6X_a9R-xqJ9TfJWBqz", "description": "Improvements on differentiable memory based on NTMs: now it is the Differentiable Neural Computer (DNC)."}, {"name": "Massive Exploration of Neural Machine Translation Architectures", "url": "https://arxiv.org/pdf/1703.03906.pdf", "description": "That yields intuition about the boundaries of what works for doing NMT within a framed seq2seq problem formulation."}, {"name": "Attention Is All You Need", "url": "https://arxiv.org/abs/1706.03762", "description": ""}], "notes": [], "source": "Deep Learning Resources"}, {"name": "Deep Learning Resources \u2014 Other", "entries": [{"name": "ProjectionNet: Learning Efficient On-Device Deep Networks Using Neural Projections", "url": "https://arxiv.org/abs/1708.00630", "description": "Replace word embeddings by word projections in your deep neural networks, which doesn't require a pre-extracted dictionnary nor storing embedding matrices."}, {"name": "Self-Governing Neural Networks for On-Device Short Text Classification", "url": "http://aclweb.org/anthology/D18-1105", "description": "This paper is the sequel to the ProjectionNet just above. The SGNN is elaborated on the ProjectionNet, and the optimizations are detailed more in-depth (also see my [attempt to reproduce the paper in code (\u2b5022)](https://github.com/guillaume-chevalier/SGNN-Self-Governing-Neural-Networks-Projection-Layer) and watch [the talks' recording](https://vimeo.com/305197775))."}, {"name": "Matching Networks for One Shot Learning", "url": "https://arxiv.org/abs/1606.04080", "description": "Classify a new example from a list of other examples (without definitive categories) and with low-data per classification task, but lots of data for lots of similar classification tasks - it seems better than siamese networks. To sum up: with Matching Networks, you can optimize directly for a cosine similarity between examples (like a self-attention product would match) which is passed to the softmax directly. I guess that Matching Networks could probably be used as with negative-sampling softmax training in word2vec's CBOW or Skip-gram without having to do any context embedding lookups."}, {"name": "Attention Mechanisms in Recurrent Neural Networks (RNNs) - IGGG", "url": "https://www.youtube.com/watch?v=QuvRWevJMZ4", "description": "A talk for a reading group on attention mechanisms (Paper: Neural Machine Translation by Jointly Learning to Align and Translate)."}, {"name": "Tensor Calculus and the Calculus of Moving Surfaces", "url": "https://www.youtube.com/playlist?list=PLlXfTHzgMRULkodlIEqfgTS-H1AY_bNtq", "description": "Generalize properly how Tensors work, yet just watching a few videos already helps a lot to grasp the concepts."}, {"name": "Deep Learning & Machine Learning (Advanced topics)", "url": "https://www.youtube.com/playlist?list=PLlp-GWNOd6m4C_-9HxuHg2_ZeI2Yzwwqt", "description": "A list of videos about deep learning that I found interesting or useful, this is a mix of a bit of everything."}, {"name": "Signal Processing Playlist", "url": "https://www.youtube.com/playlist?list=PLlp-GWNOd6m6gSz0wIcpvl4ixSlS-HEmr", "description": "A YouTube playlist I composed about DFT/FFT, STFT and the Laplace transform - I was mad about my software engineering bachelor not including signal processing classes (except a bit in the quantum physics class)."}, {"name": "Computer Science", "url": "https://www.youtube.com/playlist?list=PLlp-GWNOd6m7vLOsW20xAJ81-65C-Ys6k", "description": "Yet another YouTube playlist I composed, this time about various CS topics."}, {"name": "Siraj's Channel", "url": "https://www.youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A/videos?view=0\\&sort=p\\&flow=grid", "description": "Siraj has entertaining, fast-paced video tutorials about deep learning."}, {"name": "Two Minute Papers' Channel", "url": "https://www.youtube.com/user/keeroyz/videos?sort=p\\&view=0\\&flow=grid", "description": "Interesting and shallow overview of some research papers, for example about WaveNet or Neural Style Transfer."}, {"name": "Geoffrey Hinton interview", "url": "https://www.coursera.org/learn/neural-networks-deep-learning/lecture/dcm5r/geoffrey-hinton-interview", "description": "Andrew Ng interviews Geoffrey Hinton, who talks about his research and breaktroughs, and gives advice for students."}, {"name": "Growing Neat Software Architecture from Jupyter Notebooks", "url": "https://www.youtube.com/watch?v=K4QN27IKr0g", "description": "A primer on how to structure your Machine Learning projects when using Jupyter Notebooks."}, {"name": "Hacker News", "url": "https://news.ycombinator.com/news", "description": "Maybe how I discovered ML - Interesting trends appear on that site way before they get to be a big deal."}, {"name": "DataTau", "url": "http://www.datatau.com/", "description": "This is a hub similar to Hacker News, but specific to data science."}, {"name": "Naver", "url": "http://www.naver.com/", "description": "This is a Korean search engine - best used with Google Translate, ironically. Surprisingly, sometimes deep learning search results and comprehensible advanced math content shows up more easily there than on Google search."}, {"name": "Arxiv Sanity Preserver", "url": "http://www.arxiv-sanity.com/", "description": "arXiv browser with TF/IDF features."}, {"name": "Awesome Neuraxle", "url": "https://github.com/Neuraxio/Awesome-Neuraxle", "description": "An awesome list for Neuraxle, a ML Framework for coding clean production-level ML pipelines.", "stars": "1"}], "notes": [], "source": "Deep Learning Resources"}, {"name": "Machine Learning with Ruby", "entries": [{"name": ":sparkles: Tutorials", "url": "#sparkles-tutorials", "description": ""}, {"name": "Machine Learning Libraries", "url": "#machine-learning-libraries", "description": ""}, {"name": "Applications of machine learning", "url": "#applications-of-machine-learning", "description": ""}, {"name": "Data structures", "url": "#data-structures", "description": ""}, {"name": "Data visualization", "url": 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"description": ""}, {"name": "Online crypto challenges", "url": "#online-crypto-challenges", "description": ""}], "notes": [], "source": "Crypto Papers"}, {"name": "Crypto Papers \u2014 Introducing people to data security and cryptography", "entries": [{"name": "Nuts and Bolts of Encryption: A Primer for Policymakers", "url": "https://www.cs.princeton.edu/~felten/encryption_primer.pdf", "description": ""}, {"name": "Keys under Doormats", "url": "https://dspace.mit.edu/bitstream/handle/1721.1/97690/MIT-CSAIL-TR-2015-026.pdf", "description": "Or why cryptography shouldn't be backdoored, by a all-star committee of crypto researches from around the world."}, {"name": "An Overview of Cryptography", "url": "http://web.archive.org/web/20220918232416/https://www.garykessler.net/library/crypto.html", "description": "By Gary C. Kessler."}, {"name": "Using Encryption for Authentication in Large Networks", "url": "http://inst.eecs.berkeley.edu/~cs268/sp02/cached_papers/needham.pdf", "description": "By Needham, Schroeder: this is were crypto-based auth starts."}, {"name": "Communication Theory of Secrecy Systems", "url": "http://web.archive.org/web/20201112040412/http://netlab.cs.ucla.edu/wiki/files/shannon1949.pdf", "description": "Fundamental cryptography paper by Claude Shannon."}, {"name": "Another Look at \u201cProvable Security\u201d", "url": "https://eprint.iacr.org/2004/152.pdf", "description": "Inquiries into formalism and naive intuition behind security proofs, by Neal Koblitz et al."}, {"name": "The security impact of a new cryptographic library", "url": "https://cryptojedi.org/papers/coolnacl-20120725.pdf", "description": "Introductory paper on NaCl, discussing important aspects of implementing cryptography and using it as a larger building block in security systems, by Daniel J. Bernstein, Tanja Lange, Peter Schwabe."}], "notes": [], "source": "Crypto Papers"}, {"name": "Crypto Papers \u2014 Specific topics", "entries": [{"name": "FIPS 198-1: HMACs", "url": "http://nvlpubs.nist.gov/nistpubs/FIPS/NIST.FIPS.198-1.pdf", "description": "The Keyed-Hash Message Authentication Code FIPS document."}, {"name": "FIPS 202: SHA3", "url": "http://nvlpubs.nist.gov/nistpubs/FIPS/NIST.FIPS.202.pdf", "description": "SHA-3 Standard: Permutation-Based Hash and Extendable-Output Functions."}, {"name": "Birthday problem", "url": "https://en.wikipedia.org/wiki/Birthday_problem", "description": "The best simple explanation of math behind [birthday attack](https://en.wikipedia.org/wiki/Birthday_attack)."}, {"name": "On the Security of HMAC and NMAC Based on HAVAL, MD4, MD5, SHA-0 and SHA-1", "url": "https://eprint.iacr.org/2006/187.pdf", "description": "Security analysis of different legacy HMAC schemes by Jongsung Kim et al."}, {"name": "On the Security of Randomized CBC-MAC Beyond the Birthday Paradox Limit", "url": "https://eprint.iacr.org/2001/074", "description": "Security of randomized CBC-MACs and a new construction that resists birthday paradox attacks and provably reaches full security, by E. Jaulmes et al."}, {"name": "FIPS 197", "url": "http://nvlpubs.nist.gov/nistpubs/FIPS/NIST.FIPS.197.pdf", "description": "AES FIPS document."}, {"name": "List of proposed operation modes of AES", "url": "http://csrc.nist.gov/groups/ST/toolkit/BCM/modes_development.html", "description": "Maintained by NIST."}, {"name": "Recomendation for Block Cipher modes of operation: Methods and Techniques", "url": "http://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800-38a.pdf", "description": ""}, {"name": "Stick figure guide to AES", "url": "http://www.moserware.com/2009/09/stick-figure-guide-to-advanced.html", "description": "If stuff above was a bit hard or you're looking for a good laugh."}, {"name": "Cache timing attacks on AES", "url": "http://cr.yp.to/antiforgery/cachetiming-20050414.pdf", "description": "Example of designing great practical attack on cipher implementation, by Daniel J. Bernstein."}, {"name": "Cache Attacks and Countermeasures: the Case of AES", "url": "https://eprint.iacr.org/2005/271.pdf", "description": "Side channel attacks on AES, another view, by Dag Arne Osvik, Adi Shamir and Eran Tromer."}, {"name": "Salsa20 family of stream ciphers", "url": "https://cr.yp.to/snuffle/salsafamily-20071225.pdf", "description": "Broad explanation of Salsa20 security cipher by Daniel J. Bernstein."}, {"name": "New Features of Latin Dances: Analysis of Salsa, ChaCha, and Rumba", "url": "https://eprint.iacr.org/2007/472.pdf", "description": "Analysis of Salsa20 family of ciphers, by Jean-Philippe Aumasson et al."}, {"name": "ChaCha20-Poly1305 Cipher Suites for Transport Layer Security (TLS)", "url": "https://tools.ietf.org/html/draft-ietf-tls-chacha20-poly1305-04", "description": "IETF Draft of ciphersuite family, by Adam Langley et al."}, {"name": "AES submission document on Rijndael", "url": "https://csrc.nist.gov/csrc/media/projects/cryptographic-standards-and-guidelines/documents/aes-development/rijndael-ammended.pdf#page=1", "description": "Original Rijndael proposal by Joan Daemen and Vincent Rijmen."}, {"name": "Ongoing Research Areas in Symmetric Cryptography", "url": "https://web.archive.org/web/20220209130448/https://www.ecrypt.eu.org/ecrypt1/documents/D.STVL.3-2.5.pdf", "description": "Overview of ongoing research in secret key crypto and hashes by ECRYPT Network of Excellence in Cryptology."}, {"name": "The Galois/Counter Mode of Operation (GCM)", "url": "https://web.archive.org/web/20221007191258/https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.694.695\\&rep=rep1\\&type=pdf", "description": "Original paper introducing GCM, by by David A. McGrew and John Viega."}, {"name": "The Security and Performance of the Galois/Counter Mode (GCM) of Operation", "url": "https://eprint.iacr.org/2004/193.pdf", "description": "Design, analysis and security of GCM, and, more specifically, AES GCM mode, by David A. McGrew and John Viega."}, {"name": "GCM Security Bounds Reconsidered", "url": "https://www.iacr.org/archive/fse2015/85400168/85400168.pdf", "description": "An analysis and algorithm for nonce generation for AES GCM with higher counter-collision probability, by Yuichi Niwa, Keisuke Ohashi, Kazuhiko Minematsu, Tetsu Iwata."}, {"name": "Proxy-Mediated Searchable Encryption in SQL Databases Using Blind Indexes", "url": "https://eprint.iacr.org/2019/806.pdf", "description": "An overview of existing searchable encryption schemes, and analysis of scheme built on AES-GCM, blind index and bloom filter by Eugene Pilyankevich, Dmytro Kornieiev, Artem Storozhuk."}, {"name": "DES is not a group", "url": "https://link.springer.com/content/pdf/10.1007/3-540-48071-4_36.pdf", "description": "Old but gold mathematical proof that the set of DES permutations (encryption and decryption for each DES key) is not closed under functional composition. That means that multiple DES encryption is not equivalent to single DES encryption and means that the size of the subgroup generated by the set of DES permutations is greater than 10^2499, which is too large for potential attacks on DES, which would exploit a small subgroup."}, {"name": "Differential Cryptanalysis of Salsa20/8", "url": "https://web.archive.org/web/20220710225943/https://www.ecrypt.eu.org/stream/papersdir/2007/010.pdf", "description": "A great example of stream cipher cryptanalysis, by Yukiyasu Tsunoo et al."}, {"name": "Slide Attacks on a Class of Hash Functions", "url": "https://eprint.iacr.org/2008/263", "description": "Applying slide attacks (typical cryptanalysis technique for block ciphers) to hash functions, M. Gorski et al."}, {"name": "Self-Study Course in Block Cipher Cryptanalysis", "url": "https://www.schneier.com/academic/archives/2000/01/self-study_course_in.html", "description": "Attempt to organize the existing literature of block-cipher cryptanalysis in a way that students can use to learn cryptanalytic techniques and ways to break new algorithms, by Bruce Schneier."}, {"name": "Statistical Cryptanalysis of Block Ciphers", "url": "http://crypto.junod.info/phdthesis.pdf", "description": "By Pascal Junod."}, {"name": "Cryptanalysis of block ciphers and protocols", "url": "https://web.archive.org/web/20220929023539/http://www.cs.technion.ac.il/users/wwwb/cgi-bin/tr-info.cgi/2006/PHD/PHD-2006-04", "description": "By Elad Pinhas Barkan."}, {"name": "Too much crypto", "url": "https://eprint.iacr.org/2019/1492.pdf", "description": "Analysis of number of rounds for symmetric cryptography primitives, and suggestions to do fewer rounds, by Jean-Philippe Aumasson."}, {"name": "How to Break MD5 and Other Hash Functions", "url": "https://iacr.org/archive/eurocrypt2005/34940019/34940019.pdf", "description": "A 2005 paper about modular differential collision attack on MD5, MD4 and other hash functions, by Xiaoyun Wang and Hongbo Yu."}, {"name": "New attacks on Keccak-224 and Keccak-256", "url": "https://www.iacr.org/archive/fse2012/75490447/75490447.pdf", "description": "A 2012 paper about using the combination of differential and algebraic techniques for collision attacks on SHA-3, by Itai Dinur, Orr Dunkelman, Adi Shamir."}, {"name": "A Single-Key Attack on the Full GOST Block Cipher", "url": "https://www.iacr.org/archive/fse2011/67330297/67330297.pdf", "description": "An attack (\"Reflection-Meet-inthe-Middle Attack\") on GOST block cipher that allows to recover key with 2^225 computations and 2^32 known plaintexts, by Takanori Isobe."}, {"name": "Intro to Linear & Differential Cryptanalysis", "url": "http://www.cs.bc.edu/~straubin/crypto2017/heys.pdf", "description": "A beginner-friendly paper explaining and demonstrating techniques for linear and differential cryptanalysis."}, {"name": "MEGA: Malleable Encryption Goes Awry", "url": "https://mega-awry.io/pdf/mega-malleable-encryption-goes-awry.pdf", "description": "Proof-of-concept versions of attacks on MEGA data storage. Showcasing their practicality and exploitability. [Official webpage](https://mega-awry.io/)."}, {"name": "New Directions in Cryptography", "url": "https://www-ee.stanford.edu/~hellman/publications/24.pdf", "description": "Seminal paper by Diffie and Hellman, introducing public key cryptography and key exchange/agreement protocol."}, {"name": "RFC 2631: Diffie-Hellman Key Agreement", "url": "https://tools.ietf.org/html/rfc2631", "description": "An explanation of the Diffie-Hellman methon in more engineering terms."}, {"name": "A Method for Obtaining Digital Signatures and Public-Key Cryptosystems", "url": "https://people.csail.mit.edu/rivest/Rsapaper.pdf", "description": "Original paper introducing RSA algorithm."}, {"name": "RSA Algorithm", "url": "http://www.di-mgt.com.au/rsa_alg.html", "description": "Rather education explanation of every bit behind RSA."}, {"name": "Secure Communications Over Insecure Channels", "url": "http://www.ralphmerkle.com/1974/PuzzlesAsPublished.pdf", "description": "Paper by R. Merkle, predated \"New directions in cryptography\" though it was published after it. The Diffie-Hellman key exchange is an implementation of such a Merkle system."}, {"name": "On the Security of Public Key Protocols", "url": "https://web.archive.org/web/20230902163042/https://www.cs.huji.ac.il/~dolev/pubs/dolev-yao-ieee-01056650.pdf", "description": "Dolev-Yao model is a formal model, used to prove properties of interactive cryptographic protocols."}, {"name": "How to Share a Secret", "url": "https://github.com/arupmondal-cs/Crypto-Research/blob/master/Secret%20Sharing/shamirturing.pdf", "description": "A safe method for sharing secrets.", "stars": "8"}, {"name": "Twenty Years of Attacks on the RSA Cryptosystem", "url": "http://crypto.stanford.edu/~dabo/pubs/papers/RSA-survey.pdf", "description": "Great inquiry into attacking RSA and it's internals, by Dan Boneh."}, {"name": "Remote timing attacks are practical", "url": "http://crypto.stanford.edu/~dabo/papers/ssl-timing.pdf", "description": "An example in attacking practical crypto implementationby D. Boneh, D. Brumley."}, {"name": "The Equivalence Between the DHP and DLP for Elliptic Curves Used in Practical Applications, Revisited", "url": "https://eprint.iacr.org/2005/307.pdf", "description": "by K. Bentahar."}, {"name": "SoK: Password-Authenticated Key Exchange \u2013 Theory, Practice, Standardization and Real-World Lessons", "url": "https://eprint.iacr.org/2021/1492.pdf", "description": "History and classification of the PAKE algorithms."}, {"name": "RSA, DH and DSA in the Wild", "url": "https://eprint.iacr.org/2022/048.pdf", "description": "Collection of implementation mistakes which lead to exploits of assymetric cryptography."}, {"name": "Elliptic Curve cryptography: A gentle introduction", "url": "http://andrea.corbellini.name/2015/05/17/elliptic-curve-cryptography-a-gentle-introduction/", "description": ""}, {"name": "Explain me like I'm 5: How digital signatures actually work", "url": "http://blog.oleganza.com/post/162861219668/eli5-how-digital-signatures-actually-work", "description": "EdDSA explained with ease and elegance."}, {"name": "Elliptic Curve Cryptography: finite fields and discrete logarithms", "url": "http://andrea.corbellini.name/2015/05/23/elliptic-curve-cryptography-finite-fields-and-discrete-logarithms/", "description": ""}, {"name": "Detailed Elliptic Curve cryptography tutorial", "url": "https://www.johannes-bauer.com/compsci/ecc/", "description": ""}, {"name": "Elliptic Curve Cryptography: ECDH and ECDSA", "url": "http://andrea.corbellini.name/2015/05/30/elliptic-curve-cryptography-ecdh-and-ecdsa/", "description": ""}, {"name": "Elliptic Curve Cryptography: breaking security and a comparison with RSA", "url": "http://andrea.corbellini.name/2015/06/08/elliptic-curve-cryptography-breaking-security-and-a-comparison-with-rsa/", "description": ""}, {"name": "Elliptic Curve Cryptography: the serpentine course of a paradigm shift", "url": "http://eprint.iacr.org/2008/390.pdf", "description": "Historic inquiry into development of ECC and it's adoption."}, {"name": "Let's construct an elliptic curve: Introducing Crackpot2065", "url": "http://blog.bjrn.se/2015/07/lets-construct-elliptic-curve.html", "description": "Fine example of building up ECC from scratch."}, {"name": "Explicit-Formulas Database", "url": "http://www.hyperelliptic.org/EFD/", "description": "For many elliptic curve representation forms."}, {"name": "Curve25519: new Diffie-Hellman speed records", "url": "https://cr.yp.to/ecdh/curve25519-20060209.pdf", "description": "Paper on Curve25519."}, {"name": "Software implementation of the NIST elliptic curves over prime fields", "url": "http://delta.cs.cinvestav.mx/~francisco/arith/julio.pdf", "description": "Pracitcal example of implementing elliptic curve crypto, by M. Brown et al."}, {"name": "High-speed high-security signatures", "url": "https://ed25519.cr.yp.to/ed25519-20110926.pdf", "description": "Seminal paper on EdDSA signatures on ed25519 curve by Daniel J. Bernstein et al."}, {"name": "Recommendations for Discrete Logarithm-Based Cryptography: Elliptic Curve Domain Parameters (NIST SP 800-186)", "url": "https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-186.pdf", "description": "Official NIST guide how securely implement elliptic curves. It also includes math shortcuts, optimizations and possible security risk of wrong algorithm implementation. [(February 2023)](https://csrc.nist.gov/pubs/sp/800/186/final)"}, {"name": "Biased Nonce Sense: Lattice Attacks against Weak ECDSA Signatures in Cryptocurrencies", "url": "https://eprint.iacr.org/2019/023.pdf", "description": "Computing private keys by analyzing and exploiting biases in ECDSA nonces."}, {"name": "Minerva: The curse of ECDSA nonces", "url": "https://eprint.iacr.org/2020/728.pdf", "description": "Exploiting timing/bit-length leaks for recovering private keys from ECDSA signatures"}, {"name": "LadderLeak: Breaking ECDSA With Less Than One Bit Of Nonce Leakage", "url": "https://eprint.iacr.org/2020/615.pdf", "description": "Breaking 160-bit curve ECDSA using less than one bit leakage."}, {"name": "Proofs of knowledge", "url": "https://cseweb.ucsd.edu/~mihir/papers/pok.pdf", "description": "A pair of papers which investigate the notions of proof of knowledge and proof of computational ability, M. Bellare and O. Goldreich."}, {"name": "How to construct zero-knowledge proof systems for NP", "url": "https://www.wisdom.weizmann.ac.il/~oded/gmw1.html", "description": "Classic paper by Goldreich, Micali and Wigderson."}, {"name": "Proofs that yield nothing but their validity and a Methodology of Cryptographic protocol design", "url": "http://www.math.ias.edu/~avi/PUBLICATIONS/MYPAPERS/GMW86/GMW86.pdf", "description": "By Goldreich, Micali and Wigderson, a relative to the above."}, {"name": "A Survey of Noninteractive Zero Knowledge Proof System and Its Applications", "url": "https://www.hindawi.com/journals/tswj/2014/560484/", "description": ""}, {"name": "How to Prove a Theorem So No One Else Can Claim It", "url": "https://web.archive.org/web/20211122040931/https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.469.9048\\&rep=rep1\\&type=pdf", "description": "By Manuel Blum."}, {"name": "Information Theoretic Reductions among Disclosure Problems", "url": "https://web.archive.org/http://crypto.cs.mcgill.ca/~crepeau/BCR86.pdf", "description": "Brassau et al."}, {"name": "Knowledge complexity of interactive proof systems", "url": "https://github.com/manjunath5496/Shafi-Goldwasser-Publications/blob/master/1989-siamjc.pdf", "description": "By GoldWasser, Micali and Rackoff. Defining computational complexity of \"knowledge\" within zero knowledge proofs.", "stars": "3"}, {"name": "A Survey of Zero-Knowledge Proofs with Applications to Cryptography", "url": "http://www.austinmohr.com/work/files/zkp.pdf", "description": "Great intro on original ZKP protocols."}, {"name": "Zero Knowledge Protocols and Small Systems", "url": "https://web.archive.org/web/20220211100630/https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.26.585\\&rep=rep1\\&type=pdf", "description": "A good intro into Zero knowledge protocols."}, {"name": "Multi-Theorem Preprocessing NIZKs from Lattices", "url": "https://link.springer.com/chapter/10.1007%2F978-3-319-96881-0_25", "description": "Construction of non-interactive zero-knowledge (NIZK) proofs using lattice-based preprocessing models, by Sam Kim and David J. Wu."}, {"name": "Recommendation for Key Management \u2013 Part 1: General", "url": "http://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-57pt1r4.pdf", "description": "Methodologically very relevant document on goals and procedures of key management."}, {"name": "Selecting Cryptographic Key Sizes", "url": "https://link.springer.com/content/pdf/10.1007/s00145-001-0009-4.pdf", "description": "Classic paper from 1999 with guidelines for the determination of key sizes for symmetric cryptosystems, RSA, ECC, by Arjen K. Lenstra and Eric R. Verheul."}, {"name": "PRIMES is in P", "url": "https://www.cse.iitk.ac.in/users/manindra/algebra/primality_v6.pdf", "description": "Unconditional deterministic polynomial-time algorithm that determines whether an input number is prime or composite."}, {"name": "Kyber and Dilithium", "url": "https://cryptography101.ca/kyber-dilithium", "description": "These lectures describe Kyber (ML-KEM) and Dilithium (ML-DSA), the quantum-safe lattice-based key encapsulation and signature schemes that were standardized in August 2024 by the National Institute of Standards and Technology (NIST)."}, {"name": "Post-quantum cryptography - dealing with the fallout of physics success", "url": "https://eprint.iacr.org/2017/314.pdf", "description": "Brief observation of mathematical tasks that can be used to build cryptosystems secure against attacks by post-quantum computers."}, {"name": "Post-quantum cryptography", "url": "https://web.archive.org/web/20210510200628/https://www.researchgate.net/profile/Nicolas-Sendrier-2/publication/226115302_Code-Based_Cryptography/links/540d62d50cf2df04e7549388/Code-Based-Cryptography.pdf", "description": "Introduction to post-quantum cryptography."}, {"name": "Post-quantum RSA", "url": "https://cr.yp.to/papers/pqrsa-20170419.pdf", "description": "Daniel Bernshtein's insight how to save RSA in post-quantum period."}, {"name": "MAYO: Practical Post-Quantum Signatures from Oil-and-Vinegar Maps", "url": "https://eprint.iacr.org/2021/1144.pdf", "description": "The Oil and Vinegar signature scheme, proposed in 1997 by Patarin, is one of the oldest and best-understood multivariate quadratic signature schemes. It has excellent performance and signature sizes. This paper is about enhancing this algorithm in usage in the post-quantum era. [Official website](https://pqmayo.org/)."}], "notes": [], "source": "Crypto Papers"}, {"name": "Crypto Papers \u2014 Books", "entries": [{"name": "A Graduate Course in Applied Cryptography", "url": "https://crypto.stanford.edu/~dabo/cryptobook/", "description": "By Dan Boneh and Victor Shoup. A well-balanced introductory course into cryptography, a bit of cryptanalysis and cryptography-related security."}, {"name": "Analysis and design of cryptographic hash functions, MAC algorithms and block ciphers", "url": "https://web.archive.org/web/20220209130435/https://www.esat.kuleuven.be/cosic/publications/thesis-16.pdf", "description": "Broad overview of design and cryptanalysis of various ciphers and hash functions, by Bart Van Rompay."}, {"name": "CrypTool book", "url": "https://www.cryptool.org/en/ctbook/", "description": "Predominantly mathematically oriented information on learning, using and experimenting cryptographic procedures."}, {"name": "Handbook of Applied Cryptography", "url": "https://cacr.uwaterloo.ca/hac/", "description": "By Alfred J. Menezes, Paul C. van Oorschot and Scott A. Vanstone. Good classical introduction into cryptography and ciphers."}, {"name": "The joy of Cryptography", "url": "http://web.engr.oregonstate.edu/~rosulekm/crypto/", "description": "By Mike Rosulek. A lot of basic stuff covered really well. No ECC."}, {"name": "A Computational Introduction to Number Theory and Algebra", "url": "http://www.shoup.net/ntb/", "description": "By Victor Shoup, excellent starters book on math universally used in cryptography."}], "notes": [], "source": "Crypto Papers"}, {"name": "Crypto Papers \u2014 Lectures and educational courses", "entries": [{"name": "Understanding cryptography: A textbook for Students and Practitioners", "url": "http://www.crypto-textbook.com/", "description": "Textbook, great lectures and problems to solve."}, {"name": "Crypto101", "url": "https://www.crypto101.io/", "description": "Crypto 101 is an introductory course on cryptography, freely available for programmers of all ages and skill levels."}, {"name": "A Course in Cryptography", "url": "https://www.cs.cornell.edu/courses/cs4830/2010fa/lecnotes.pdf", "description": "Lecture notes by Rafael Pass, Abhi Shelat."}, {"name": "Lecture Notes on Cryptography", "url": "https://cseweb.ucsd.edu/~mihir/papers/gb.pdf", "description": "Famous set of lectures on cryptography by Shafi Goldwasser (MIT), M. Bellare (University of California)."}, {"name": "Introduction to Cryptography by Christof Paar", "url": "https://www.youtube.com/watch?v=2aHkqB2-46k", "description": "Video course by Christof Paar (University of Bochum in Germany). In english."}, {"name": "Cryptography I", "url": "https://www.coursera.org/learn/crypto", "description": "Stanford University course on Coursera, taught by prof. Dan Boneh. [Cryptography II](https://www.coursera.org/learn/crypto2) is still in development."}], "notes": [], "source": "Crypto Papers"}, {"name": "Crypto Papers \u2014 Online crypto challenges", "entries": [{"name": "CryptoHack", "url": "https://cryptohack.org/", "description": ""}, {"name": "Cryptopals crypto challenges", "url": "https://cryptopals.com/", "description": ""}, {"name": "id0-rsa crypto challenges", "url": "https://id0-rsa.pub/", "description": ""}, {"name": "MTC3", "url": "https://www.mysterytwisterc3.org/en/", "description": "xipher contest with more than 200 challenges of different levels, a moderated forum, and a hall-of-fame."}], "notes": [], "source": "Crypto Papers"}, {"name": "Xai", "entries": [{"name": "Papers", "url": "#papers", "description": ""}, {"name": "Repositories", "url": "#repositories", "description": ""}, {"name": "Videos", "url": "#videos", "description": ""}, {"name": "Follow", "url": "#follow", "description": ""}], "notes": [], "source": "Xai"}, {"name": "Xai \u2014 Landmarks", "entries": [{"name": "Explanation in Artificial Intelligence: Insights from the Social Sciences", "url": "https://arxiv.org/abs/1706.07269", "description": "This paper provides an introduction to the social science research into explanations. The author provides 4 major findings: (1) explanations are constrastive, (2) explanations are selected, (3) probabilities probably don't matter, (4) explanations are social. These fit into the general theme that explanations are -contextual-."}, {"name": "Sanity Checks for Saliency Maps", "url": "https://arxiv.org/abs/1810.03292", "description": "An important read for anyone using saliency maps. This paper proposes two experiments to determine whether saliency maps are useful: (1) model parameter randomization test compares maps from trained and untrained models, (2) data randomization test compares maps from models trained on the original dataset and models trained on the same dataset with randomized labels. They find that \"some widely deployed saliency methods are independent of both the data the model was trained on, and the model parameters\"."}], "notes": [], "source": "Xai"}, {"name": "Xai \u2014 Surveys", "entries": [{"name": "Explainable Deep Learning: A Field Guide for the Uninitiated", "url": "https://arxiv.org/abs/2004.14545", "description": "An in-depth description of XAI focused on technqiues for deep learning."}], "notes": [], "source": "Xai"}, {"name": "Xai \u2014 Evaluations", "entries": [{"name": "Quantifying Explainability of Saliency Methods in Deep Neural Networks", "url": "https://arxiv.org/abs/2009.02899", "description": "An analysis of how different heatmap-based saliency methods perform based on experimentation with a generated dataset."}], "notes": [], "source": "Xai"}, {"name": "Xai \u2014 XAI Methods", "entries": [{"name": "Ada-SISE", "url": "https://arxiv.org/abs/2102.07799", "description": "Adaptive semantice inpute sampling for explanation."}, {"name": "ALE", "url": "https://rss.onlinelibrary.wiley.com/doi/abs/10.1111/rssb.12377", "description": "Accumulated local effects plot."}, {"name": "ALIME", "url": "https://link.springer.com/chapter/10.1007/978-3-030-33607-3_49", "description": "Autoencoder Based Approach for Local Interpretability."}, {"name": "Anchors", "url": "https://ojs.aaai.org/index.php/AAAI/article/view/11491", "description": "High-Precision Model-Agnostic Explanations."}, {"name": "Auditing", "url": "https://link.springer.com/article/10.1007/s10115-017-1116-3", "description": "Auditing black-box models."}, {"name": "BayLIME", "url": "https://arxiv.org/abs/2012.03058", "description": "Bayesian local interpretable model-agnostic explanations."}, {"name": "Break Down", "url": "http://ema.drwhy.ai/breakDown.html#BDMethod", "description": "Break down plots for additive attributions."}, {"name": "CAM", "url": "https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhou_Learning_Deep_Features_CVPR_2016_paper.pdf", "description": "Class activation mapping."}, {"name": "CDT", "url": "https://ieeexplore.ieee.org/abstract/document/4167900", "description": "Confident interpretation of Bayesian decision tree ensembles."}, {"name": "CICE", "url": "https://christophm.github.io/interpretable-ml-book/ice.html", "description": "Centered ICE plot."}, {"name": "CMM", "url": "https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.40.2710\\&rep=rep1\\&type=pdf", "description": "Combined multiple models metalearner."}, {"name": "Conj Rules", "url": "https://www.sciencedirect.com/science/article/pii/B9781558603356500131", "description": "Using sampling and queries to extract rules from trained neural networks."}, {"name": "CP", "url": "https://ieeexplore.ieee.org/abstract/document/6597214", "description": "Contribution propogation."}, {"name": "DecText", "url": "https://dl.acm.org/doi/abs/10.1145/775047.775113", "description": "Extracting decision trees from trained neural networks."}, {"name": "DeepLIFT", "url": "https://ieeexplore-ieee-org.ezproxy.libraries.wright.edu/abstract/document/9352498", "description": "Deep label-specific feature learning for image annotation."}, {"name": "DTD", "url": "https://www.sciencedirect.com/science/article/pii/S0031320316303582", "description": "Deep Taylor decomposition."}, {"name": "ExplainD", "url": "https://www.aaai.org/Papers/IAAI/2006/IAAI06-018.pdf", "description": "Explanations of evidence in additive classifiers."}, {"name": "FIRM", "url": "https://link.springer.com/chapter/10.1007/978-3-642-04174-7_45", "description": "Feature importance ranking measure."}, {"name": "Fong, et. al.", "url": "https://openaccess.thecvf.com/content_iccv_2017/html/Fong_Interpretable_Explanations_of_ICCV_2017_paper.html", "description": "Meaninful perturbations model."}, {"name": "G-REX", "url": "https://www.academia.edu/download/51462700/s0362-546x_2896_2900267-220170122-9600-1njrpyx.pdf", "description": "Rule extraction using genetic algorithms."}, {"name": "Gibbons, et. al.", "url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3977175/", "description": "Explain random forest using decision tree."}, {"name": "GoldenEye", "url": "https://link-springer-com.ezproxy.libraries.wright.edu/article/10.1007/s10618-014-0368-8", "description": "Exploring classifiers by randomization."}, {"name": "GPD", "url": "https://arxiv.org/abs/0912.1128", "description": "Gaussian process decisions."}, {"name": "GPDT", "url": "https://ieeexplore.ieee.org/abstract/document/4938655", "description": "Genetic program to evolve decision trees."}, {"name": "GradCAM", "url": "https://openaccess.thecvf.com/content_iccv_2017/html/Selvaraju_Grad-CAM_Visual_Explanations_ICCV_2017_paper.html", "description": "Gradient-weighted Class Activation Mapping."}, {"name": "GradCAM++", "url": "https://ieeexplore.ieee.org/abstract/document/8354201/", "description": "Generalized gradient-based visual explanations."}, {"name": "Hara, et. al.", "url": "https://arxiv.org/abs/1606.05390", "description": "Making tree ensembles interpretable."}, {"name": "ICE", "url": "https://www.tandfonline.com/doi/abs/10.1080/10618600.2014.907095", "description": "Individual conditional expectation plots."}, {"name": "IG", "url": "http://proceedings.mlr.press/v70/sundararajan17a/sundararajan17a.pdf", "description": "Integrated gradients."}, {"name": "inTrees", "url": "https://link.springer.com/article/10.1007/s41060-018-0144-8", "description": "Interpreting tree ensembles with inTrees."}, {"name": "IOFP", "url": "https://arxiv.org/abs/1611.04967", "description": "Iterative orthoganol feature projection."}, {"name": "IP", "url": "https://arxiv.org/abs/1703.00810", "description": "Information plane visualization."}, {"name": "KL-LIME", "url": "https://arxiv.org/abs/1810.02678", "description": "Kullback-Leibler Projections based LIME."}, {"name": "Krishnan, et. al.", "url": "https://www.sciencedirect.com/science/article/abs/pii/S0031320398001812", "description": "Extracting decision trees from trained neural networks."}, {"name": "Lei, et. al.", "url": "https://arxiv.org/abs/1606.04155", "description": "Rationalizing neural predictions with generator and encoder."}, {"name": "LIME", "url": "https://dl.acm.org/doi/abs/10.1145/2939672.2939778", "description": "Local Interpretable Model-Agnostic Explanations."}, {"name": "LOCO", "url": "https://amstat.tandfonline.com/doi/abs/10.1080/01621459.2017.1307116#.YEkdZ7CSmUk", "description": "Leave-one covariate out."}, {"name": "LORE", "url": "https://arxiv.org/abs/1805.10820", "description": "Local rule-based explanations."}, {"name": "Lou, et. al.", "url": "https://dl.acm.org/doi/abs/10.1145/2487575.2487579", "description": "Accurate intelligibile models with pairwise interactions."}, {"name": "LRP", "url": "https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0130140", "description": "Layer-wise relevance propogation."}, {"name": "MCR", "url": "https://www.jmlr.org/papers/volume20/18-760/18-760.pdf", "description": "Model class reliance."}, {"name": "MES", "url": "https://ieeexplore.ieee.org/abstract/document/7738872", "description": "Model explanation system."}, {"name": "MFI", "url": "https://arxiv.org/abs/1611.07567", "description": "Feature importance measure for non-linear algorithms."}, {"name": "NID", "url": "https://www.sciencedirect.com/science/article/abs/pii/S0304380002000649", "description": "Neural interpretation diagram."}, {"name": "OptiLIME", "url": "https://arxiv.org/abs/2006.05714", "description": "Optimized LIME."}, {"name": "PALM", "url": "https://dl.acm.org/doi/abs/10.1145/3077257.3077271", "description": "Partition aware local model."}, {"name": "PDA", "url": "https://arxiv.org/abs/1702.04595", "description": "Prediction Difference Analysis: Visualize deep neural network decisions."}, {"name": "PDP", "url": "https://projecteuclid.org/download/pdf_1/euclid.aos/1013203451", "description": "Partial dependence plots."}, {"name": "POIMs", "url": "https://academic.oup.com/bioinformatics/article/24/13/i6/233341", "description": "Positional oligomer importance matrices for understanding SVM signal detectors."}, {"name": "ProfWeight", "url": "https://arxiv.org/abs/1807.07506", "description": "Transfer information from deep network to simpler model."}, {"name": "Prospector", "url": "https://dl.acm.org/doi/abs/10.1145/2858036.2858529", "description": "Interactive partial dependence diagnostics."}, {"name": "QII", "url": "https://ieeexplore.ieee.org/abstract/document/7546525", "description": "Quantitative input influence."}, {"name": "REFNE", "url": "https://content.iospress.com/articles/ai-communications/aic272", "description": "Extracting symbolic rules from trained neural network ensembles."}, {"name": "RETAIN", "url": "https://arxiv.org/abs/1608.05745", "description": "Reverse time attention model."}, {"name": "RISE", "url": "https://arxiv.org/abs/1806.07421", "description": "Randomized input sampling for explanation."}, {"name": "RxREN", "url": "https://link.springer.com/article/10.1007%2Fs11063-011-9207-8", "description": "Reverse engineering neural networks for rule extraction."}, {"name": "SHAP", "url": "https://arxiv.org/abs/1705.07874", "description": "A unified approach to interpretting model predictions."}, {"name": "SIDU", "url": "https://arxiv.org/abs/2101.10710", "description": "Similarity, difference, and uniqueness input perturbation."}, {"name": "Simonynan, et. al", "url": "https://arxiv.org/abs/1312.6034", "description": "Visualizing CNN classes."}, {"name": "Singh, et. al", "url": "https://arxiv.org/abs/1611.07579", "description": "Programs as black-box explanations."}, {"name": "STA", "url": "https://arxiv.org/abs/1610.09036", "description": "Interpreting models via Single Tree Approximation."}, {"name": "Strumbelj, et. al.", "url": "https://www.jmlr.org/papers/volume11/strumbelj10a/strumbelj10a.pdf", "description": "Explanation of individual classifications using game theory."}, {"name": "SVM+P", "url": "https://www.academia.edu/download/2471122/3uecwtv9xcwxg6r.pdf", "description": "Rule extraction from support vector machines."}, {"name": "TCAV", "url": "https://openreview.net/forum?id=S1viikbCW", "description": "Testing with concept activation vectors."}, {"name": "Tolomei, et. al.", "url": "https://dl.acm.org/doi/abs/10.1145/3097983.3098039", "description": "Interpretable predictions of tree-ensembles via actionable feature tweaking."}, {"name": "Tree Metrics", "url": "https://www.researchgate.net/profile/Edward-George-2/publication/2610587_Making_Sense_of_a_Forest_of_Trees/links/55b1085d08aec0e5f430eb40/Making-Sense-of-a-Forest-of-Trees.pdf", "description": "Making sense of a forest of trees."}, {"name": "TreeSHAP", "url": "https://arxiv.org/abs/1706.06060", "description": "Consistent feature attribute for tree ensembles."}, {"name": "TreeView", "url": "https://arxiv.org/abs/1611.07429", "description": "Feature-space partitioning."}, {"name": "TREPAN", "url": "http://www.inf.ufrgs.br/\\~engel/data/media/file/cmp121/TREPAN_craven.nips96.pdf", "description": "Extracting tree-structured representations of trained networks."}, {"name": "TSP", "url": "https://dl.acm.org/doi/abs/10.1145/3412815.3416893", "description": "Tree space prototypes."}, {"name": "VBP", "url": "http://www.columbia.edu/\\~aec2163/NonFlash/Papers/VisualBackProp.pdf", "description": "Visual back-propagation."}, {"name": "VEC", "url": "https://ieeexplore.ieee.org/abstract/document/5949423", "description": "Variable effect characteristic curve."}, {"name": "VIN", "url": "https://dl.acm.org/doi/abs/10.1145/1014052.1014122", "description": "Variable interaction network."}, {"name": "X-TREPAN", "url": "https://arxiv.org/abs/1508.07551", "description": "Adapted etraction of comprehensible decision tree in ANNs."}, {"name": "Xu, et. al.", "url": "http://proceedings.mlr.press/v37/xuc15", "description": "Show, attend, tell attention model."}], "notes": [], "source": "Xai"}, {"name": "Xai \u2014 Interpretable Models", "entries": [{"name": "Decision List", "url": "https://christophm.github.io/interpretable-ml-book/rules.html", "description": "Like a decision tree with no branches."}, {"name": "Decision Trees", "url": "https://en.wikipedia.org/wiki/Decision_tree", "description": "The tree provides an interpretation."}, {"name": "Explainable Boosting Machine", "url": "https://www.youtube.com/watch?v=MREiHgHgl0k", "description": "Method that predicts based on learned vector graphs of features."}, {"name": "k-Nearest Neighbors", "url": "https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm", "description": "The prototypical clustering method."}, {"name": "Linear Regression", "url": "https://en.wikipedia.org/wiki/Linear_regression", "description": "Easily plottable and understandable regression."}, {"name": "Logistic Regression", "url": "https://en.wikipedia.org/wiki/Logistic_regression", "description": "Easily plottable and understandable classification."}, {"name": "Naive Bayes", "url": "https://en.wikipedia.org/wiki/Naive_Bayes_classifier", "description": "Good classification, poor estimation using conditional probabilities."}, {"name": "RuleFit", "url": "https://christophm.github.io/interpretable-ml-book/rulefit.html", "description": "Sparse linear model as decision rules including feature interactions."}], "notes": [], "source": "Xai"}, {"name": "Xai \u2014 Critiques", "entries": [{"name": "Attention is not Explanation", "url": "https://arxiv.org/abs/1902.10186", "description": "Authors perform a series of NLP experiments which argue attention does not provide meaningful explanations. They also demosntrate that different attentions can generate similar model outputs."}, {"name": "Attention is not --not-- Explanation", "url": "https://arxiv.org/abs/1908.04626", "description": "This is a rebutal to the above paper. Authors argue that multiple explanations can be valid and that the and that attention can produce *a* valid explanation, if not -the- valid explanation."}, {"name": "Do Not Trust Additive Explanations", "url": "https://arxiv.org/abs/1903.11420", "description": "Authors argue that addditive explanations (e.g. LIME, SHAP, Break Down) fail to take feature ineractions into account and are thus unreliable."}, {"name": "Please Stop Permuting Features An Explanation and Alternatives", "url": "https://arxiv.org/abs/1905.03151", "description": "Authors demonstrate why permuting features is misleading, especially where there is strong feature dependence. They offer several previously described alternatives."}, {"name": "Stop Explaining Black Box Machine Learning Models for High States Decisions and Use Interpretable Models Instead", "url": "https://www.nature.com/articles/s42256-019-0048-x?fbclid=IwAR3156gP-ntoAyw2sHTXo0Z8H9p-2wBKe5jqitsMCdft7xA0P766QvSthFs", "description": "Authors present a number of issues with explainable ML and challenges to interpretable ML: (1) constructing optimal logical models, (2) constructing optimal sparse scoring systems, (3) defining interpretability and creating methods for specific methods. They also offer an argument for why interpretable models might exist in many different domains."}, {"name": "The (Un)reliability of Saliency Methods", "url": "https://link.springer.com/chapter/10.1007/978-3-030-28954-6_14", "description": "Authors demonstrate how saliency methods vary attribution when adding a constant shift to the input data. 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Very beginner friendly."}, {"name": "The Little Prover", "url": "https://books.google.com.br/books?id=I9E_CgAAQBAJ\\&pg=PR13#v=onepage\\&q\\&f=false", "description": "Talks about"}, {"name": "Isabelle/HOL - A Proof Assistant for Higher-Order Logic", "url": "http://isabelle.in.tum.de/doc/tutorial.pdf", "description": "A Book on implementing logical formalisms in Isabelle/HOL."}, {"name": "The Little MLer", "url": "http://www.ccs.neu.edu/home/matthias/BTML/", "description": "A book focused on teaching types, recursive thinking and other important subjects in Standard ML."}, {"name": "Introduction to Programming using SML", "url": "http://catalogue.pearsoned.co.uk/educator/product/Introduction-to-Programming-using-SML/9780201398205.page", "description": "Introduces you to programming design in a very mathematical way."}, {"name": "How to Design Programs", "url": "http://www.htdp.org/", "description": ""}, {"name": "Introduction to Functional Programming", "url": "http://www.amazon.com/Introduction-Functional-Programming-International-Computing/dp/0134841891", "description": ""}, {"name": "Haskell in Depth", "url": "https://www.manning.com/books/haskell-in-depth", "description": "the perfect second book on Haskell which dives into examples and application scenarios designed to teach how Haskell works and how to apply it correctly."}, {"name": "Grokking Simplicity: Taming complex software with functional thinking", "url": "https://www.manning.com/books/grokking-simplicity", "description": "Teaches functional programming from first principles using real-world scenarios."}, {"name": "Functional Programming in Scala, Second Edition", "url": "https://www.manning.com/books/functional-programming-in-scala-second-edition", "description": "International bestseller revised with new exercises, annotations, and full coverage of Scala 3."}, {"name": "Functional Programming in C#, Second Edition", "url": "https://www.manning.com/books/functional-programming-in-c-sharp-second-edition", "description": "Real world examples and practical techniques for functional programming in C#."}, {"name": "Grokking Functional Programming", "url": "https://www.manning.com/books/grokking-functional-programming", "description": "Introduction to functional programming."}, {"name": "Functional Programming in Kotlin", "url": "https://www.manning.com/books/functional-programming-in-kotlin", "description": "Master techniques and concepts of functional programming to deliver safer, simpler, and more effective Kotlin code."}, {"name": "Functional Design and Architecture", "url": "https://www.manning.com/books/functional-design-and-architecture", "description": "Design patterns and architectures for building production quality applications using functional programming, with examples in Haskell and other FP languages."}, {"name": "Haskell Bookcamp", "url": "https://www.manning.com/books/haskell-bookcamp", "description": "In this book, you\u2019ll get practical experience writing Haskell code and applying functional programming to actual development challenges."}, {"name": "Mastering Functional Programming", "url": "https://www.perlego.com/book/800653/mastering-functional-programming-functional-techniques-for-sequential-and-parallel-programming-with-scala-pdf", "description": "If you are from an imperative and OOP background, this book will guide you through the world of functional programming, irrespective of which programming language you use."}, {"name": "Jax in Action", "url": "https://www.manning.com/books/jax-in-action", "description": "A book about The JAX numerical computing library."}, {"name": "Learn PowerShell Scritping in a Month of Lunches", "url": "https://www.manning.com/books/learn-powershell-scripting-in-a-month-of-lunches-second-edition", "description": "Automate complex tasks and processes with PowerShell scripts."}, {"name": "F# in Action", "url": "https://www.manning.com/books/f-sharp-in-action", "description": "Book about practical F# development skills needed to create professional applications."}, {"name": "Elixir in Action, Third Edition", "url": "https://www.manning.com/books/elixir-in-action-third-edition", "description": "Fully updated to Elixir 1.14, this authoritative bestseller reveals how Elixir tackles problems of scalability, fault tolerance, and high availability."}], "notes": [], "source": "Functional Programming"}, {"name": "Functional Programming \u2014 Communities", "entries": [{"name": "Lambda the Ultimate", "url": "http://lambda-the-ultimate.org/", "description": "Community focused on discussing researches, papers"}, {"name": "FP Complete", "url": "https://www.fpcomplete.com/", "description": "Community focused on helping companies and students on learning and implementing Functional Programming in Haskell. Hosters of one of the most famous Haskell learning centers: [School of Haskell](https://www.schoolofhaskell.com/school)"}, {"name": "Haskellers", "url": "http://www.haskellers.com/", "description": "The meeting point for Haskell Programmers"}, {"name": "ElixirLangMoscow", "url": "http://elixir-lang.moscow/", "description": "Russian Elixir community"}], "notes": [], "source": "Functional Programming"}, {"name": "Functional Programming \u2014 Discussions (Quora, Stack Overflow, Reddit, etc)", "entries": [{"name": "Why dont more programmers use Haskell", "url": "https://www.quora.com/Why-dont-more-programmers-use-Haskell", "description": ""}, {"name": "Hidden complexities of tail-call/tail-recursion optimization", "url": "http://lambda-the-ultimate.org/classic/message1532.html", "description": ""}], "notes": [], "source": "Functional Programming"}, {"name": "Functional Programming \u2014 Videos", "entries": [{"name": "Dont fear the Monad", "url": "https://www.youtube.com/watch?v=ZhuHCtR3xq8", "description": "Explanation on"}, {"name": "Haskell is useless", "url": "https://www.youtube.com/watch?v=iSmkqocn0oQ", "description": "Simon Peyton Jones being"}, {"name": "Brian Beckman: The Zen of Stateless State", "url": "https://www.youtube.com/watch?v=XxzzJiXHOJs", "description": ""}, {"name": "Erik Meijer: Functional Programming", "url": "https://www.youtube.com/watch?v=z0N1aZ6SnBk", "description": ""}, {"name": "Scala Monads: Declutter Your Code With Monadic Design", "url": "https://www.youtube.com/watch?v=Mw_Jnn_Y5iA", "description": ""}, {"name": "Philip Wadler and Erik Meijer: On Programming Language Theory and Practice", "url": "https://www.youtube.com/watch?v=9SBR_SnrEiI", "description": ""}, {"name": "Kotlin for Android & Java Developers", "url": "https://www.manning.com/livevideo/kotlin-for-android-and-java-developers", "description": "LiveVideo course about Kotlin: functional programming, object orientation and building an Android app in Kotlin."}, {"name": "Do we really need OOD and FDD?", "url": "https://www.youtube.com/watch?v=KW9U6HMKEgk", "description": "Functional Declarative Design (FDD) opposed to Object-Oriented Design (OOD"}, {"name": "Functional Programming with TypeScript", "url": "https://www.youtube.com/playlist?list=PLuPevXgCPUIMbCxBEnc1dNwboH6e2ImQo", "description": "Discover functional programming with Typescript and create a library like fp-ts alongside Sahand Javid in this beginner-friendly YouTube playlist."}], "notes": [], "source": "Functional Programming"}, {"name": "Functional Programming \u2014 Lectures", "entries": [{"name": "C9 Lectures: Dr. Erik Meijer - Functional Programming Fundamentals", "url": "https://www.youtube.com/playlist?list=PLTA0Ta9Qyspa5Nayx0VCHj5AHQJqp1clD", "description": "Series of Lectures from one of the creators of Haskell"}, {"name": "Adventure with types in Haskell - Simon Peyton Jones", "url": "https://www.youtube.com/watch?v=6COvD8oynmI\\&list=RD6COvD8oynmI#t=0", "description": "Lectures about Haskells strong Type System by Simon Peyton Jones."}, {"name": "The Algebra of Algebraic Data Types", "url": "https://www.youtube.com/watch?v=YScIPA8RbVE", "description": "Very good explanation"}], "notes": [], "source": "Functional Programming"}, {"name": "Functional Programming \u2014 Platforms", "entries": [], "notes": [], "source": "Functional Programming"}, {"name": "Functional Programming \u2014 Tools", "entries": [{"name": "Isabelle/HOL", "url": "https://www.cl.cam.ac.uk/research/hvg/Isabelle/", "description": "Generic proof assistant based on Higher Order Logic"}], "notes": [], "source": "Functional Programming"}, {"name": "Functional Programming \u2014 Repos", "entries": [{"name": "Idris Koans", "url": "https://github.com/idris-hackers/idris-koans", "description": "Project for teaching Idris. A General Purpose Functional Programming with Dependent Types", "stars": "176"}, {"name": "Functional Javascript Workshop", "url": "https://github.com/timoxley/functional-javascript-workshop", "description": "A functional Javascript workshop.", "stars": "2k"}, {"name": "J-Bob", "url": "https://github.com/the-little-prover/j-bob", "description": "The proof assistant from the book `The Little Prover`", "stars": "414"}, {"name": "Haskell Must Watch", "url": "https://github.com/olehkuchuk/haskell-must-watch", "description": "A list of videos, talks and courses on Haskell.", "stars": "1.1k"}, {"name": "Intro SML", "url": "http://www.it.dtu.dk/introSML/", "description": "Code, corrections and info on the book: `Introduction to Programming using SML`"}, {"name": "Functional Programming In JavaScript", "url": "https://github.com/busypeoples/functional-programming-javascript", "description": "List of functional programming resources in JavaScript.", "stars": "305"}, {"name": "Functional Programming Jargon", "url": "https://github.com/hemanth/functional-programming-jargon", "description": "Project for providing a glossary for FP, and make learning FP easier.", "stars": "19k"}, {"name": "Bow", "url": "https://github.com/bow-swift/bow", "description": "Companion library for Typed Functional Programming in Swift.", "stars": "642"}, {"name": "Parsing With Haskell Parser Combinators", "url": "https://github.com/lettier/parsing-with-haskell-parser-combinators", "description": "A step-by-step guide to parsing using Haskell parser combinators.", "stars": "90"}, {"name": "Functional Programming Learning Path", "url": "https://github.com/imteekay/functional-programming-learning-path.git", "description": "A Learning Path for Functional Programming"}], "notes": [], "source": "Functional Programming"}, {"name": "Functional Programming \u2014 People", "entries": [{"name": "Simon Peyton Jones", "url": "http://research.microsoft.com/en-us/people/simonpj/", "description": "One of the creators of the Haskell Language and the Glasgow Haskell Compiler. Microsoft Researcher."}, {"name": "Philip Wadler", "url": "http://homepages.inf.ed.ac.uk/wadler/", "description": "Professor of Theoretical Computer Science at the University of Edinburgh, author of the famous paper Propositions as Types. One of the main people behind Java Generics Types."}, {"name": "Matthias Felleisen", "url": "http://www.ccs.neu.edu/home/matthias/", "description": "Author of many books such as How to Design Programs, and The Little Schemer."}, {"name": "Erik Meijer", "url": "https://www.linkedin.com/pub/erik-meijer/0/5ba/924", "description": "Former software architect for Microsoft, Functional Programming researcher, gives lectures on\tFP, Software Design and Reactive programming."}, {"name": "Brian Beckman", "url": "https://www.linkedin.com/in/brianbeckman", "description": "Former Microsoft Researcher, actual Software Engineer at Amazon. Contributed to implementing FP features to inumerous Microsoft technologies such as C#, LINQ and F#"}], "notes": [], "source": "Functional Programming"}, {"name": "Functional Programming \u2014 License", "entries": [], "notes": [], "source": "Functional Programming"}, {"name": "Qa", "entries": [{"name": "Recent Trends", "url": "#recent-trends", "description": ""}, {"name": "About QA", "url": "#about-qa", "description": ""}, {"name": "Events", "url": "#events", "description": ""}, {"name": "Systems", "url": "#systems", "description": ""}, {"name": "Competitions in QA", "url": "#competitions-in-qa", "description": ""}, {"name": "Publications", "url": "#publications", "description": ""}, {"name": "Codes", "url": "#codes", "description": ""}, {"name": "Lectures", "url": "#lectures", "description": ""}, {"name": "Slides", "url": "#slides", "description": ""}, {"name": "Dataset Collections", "url": "#dataset-collections", "description": ""}, {"name": "Datasets", "url": "#datasets", "description": ""}, {"name": "Books", "url": "#books", "description": ""}, {"name": "Links", "url": "#links", "description": ""}], "notes": [], "source": "Qa"}, {"name": "Qa \u2014 Recent QA Models", "entries": [], "notes": [], "source": "Qa"}, {"name": "Qa \u2014 Recent Language Models", "entries": [{"name": "ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators", "url": "https://openreview.net/pdf?id=r1xMH1BtvB", "description": ""}, {"name": "TinyBERT: Distilling BERT for Natural Language Understanding", "url": "https://openreview.net/pdf?id=rJx0Q6EFPB", "description": ""}, {"name": "MINILM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers", "url": "https://arxiv.org/abs/2002.10957", "description": ""}, {"name": "T5: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer", "url": "https://arxiv.org/abs/1910.10683", "description": ""}, {"name": "ERNIE: Enhanced Language Representation with 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"source": "Qa"}, {"name": "Qa \u2014 AAAI 2020", "entries": [{"name": "TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection", "url": "https://arxiv.org/pdf/1911.04118.pdf", "description": ""}], "notes": [], "source": "Qa"}, {"name": "Qa \u2014 ACL 2019", "entries": [{"name": "Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications", "url": "https://arxiv.org/pdf/1906.02829v1.pdf", "description": ""}, {"name": "Cognitive Graph for Multi-Hop Reading Comprehension at Scale", "url": "https://arxiv.org/pdf/1905.05460v2.pdf", "description": ""}, {"name": "Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index", "url": "https://arxiv.org/abs/1906.05807", "description": ""}, {"name": "Unsupervised Question Answering by Cloze Translation", "url": "https://arxiv.org/abs/1906.04980", "description": ""}, {"name": "SemEval-2019 Task 10: Math Question Answering", "url": "https://www.aclweb.org/anthology/S19-2153", "description": ""}, {"name": "Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader", "url": "https://arxiv.org/abs/1905.07098", "description": ""}, {"name": "Matching Article Pairs with Graphical Decomposition and Convolutions", "url": "https://arxiv.org/pdf/1802.07459v2.pdf", "description": ""}, {"name": "Episodic Memory Reader: Learning what to Remember for Question Answering from Streaming Data", "url": "https://arxiv.org/abs/1903.06164", "description": ""}, {"name": "Natural Questions: a Benchmark for Question Answering Research", "url": "https://ai.google/research/pubs/pub47761", "description": ""}, {"name": "Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension", "url": "https://arxiv.org/abs/1811.00232", "description": ""}], "notes": [], "source": "Qa"}, {"name": "Qa \u2014 EMNLP-IJCNLP 2019", "entries": [{"name": "Language Models as Knowledge Bases?", "url": "https://arxiv.org/pdf/1909.01066v2.pdf", "description": ""}, {"name": "LXMERT: Learning Cross-Modality Encoder Representations from Transformers", "url": "https://arxiv.org/pdf/1908.07490v3.pdf", "description": ""}, {"name": "Answering Complex Open-domain Questions Through Iterative Query Generation", "url": "https://arxiv.org/pdf/1910.07000v1.pdf", "description": ""}, {"name": "KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning", "url": "https://arxiv.org/pdf/1909.02151v1.pdf", "description": ""}, {"name": "Mixture Content Selection for Diverse Sequence Generation", "url": "https://arxiv.org/pdf/1909.01953v1.pdf", "description": ""}, {"name": "A Discrete Hard EM Approach for Weakly Supervised Question Answering", "url": "https://arxiv.org/pdf/1909.04849v1.pdf", "description": ""}], "notes": [], "source": "Qa"}, {"name": "Qa \u2014 Arxiv", "entries": [{"name": "Investigating the Successes and Failures of BERT for Passage Re-Ranking", "url": "https://arxiv.org/abs/1905.01758", "description": ""}, {"name": "BERT with History Answer Embedding for Conversational Question Answering", "url": "https://arxiv.org/abs/1905.05412", "description": ""}, {"name": "Understanding the Behaviors of BERT in Ranking", "url": "https://arxiv.org/abs/1904.07531", "description": ""}, {"name": "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis", "url": "https://arxiv.org/abs/1904.02232", "description": ""}, {"name": "End-to-End Open-Domain Question Answering with BERTserini", "url": "https://arxiv.org/abs/1902.01718", "description": ""}, {"name": "A BERT Baseline for the Natural Questions", "url": "https://arxiv.org/abs/1901.08634", "description": ""}, {"name": "Passage Re-ranking with BERT", "url": "https://arxiv.org/abs/1901.04085", "description": ""}, {"name": "SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering", "url": "https://arxiv.org/abs/1812.03593", "description": ""}], "notes": [], "source": "Qa"}, {"name": "Qa \u2014 Dataset", "entries": [{"name": "ELI5: Long Form Question Answering", "url": "https://arxiv.org/abs/1907.09190", "description": ""}], "notes": [], "source": "Qa"}, {"name": "Qa \u2014 Types of QA", "entries": [], "notes": [], "source": "Qa"}, {"name": "Qa \u2014 Analysis and Parsing for Pre-processing in QA systems", "entries": [], "notes": [], "source": "Qa"}, {"name": "Qa \u2014 Most QA systems have roughly 3 parts", "entries": [{"name": "IBM Watson", "url": "https://www.ibm.com/watson/", "description": "Has state-of-the-arts performance."}, {"name": "Facebook DrQA", "url": "https://research.fb.com/downloads/drqa/", "description": "Applied to the SQuAD1.0 dataset. 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It can do morphological analysis, generation, lemmatization, disambiguation and lexical lookup for a great many Uralic languages.", "stars": "74"}], "notes": [], "source": "Linguistics"}, {"name": "Linguistics \u2014 Algorithms", "entries": [{"name": "Stemming algorithms for various European languages", "url": "http://snowball.tartarus.org/texts/stemmersoverview.html", "description": "Various stemming algorithms from snowball."}, {"name": "The Porter Stemmer Algorithm", "url": "http://tartarus.org/martin/PorterStemmer/", "description": "The \u2018official\u2019 home page for distribution of the Porter Stemming Algorithm, written and maintained by its author, Martin Porter."}], "notes": [], "source": "Linguistics"}, {"name": "Linguistics \u2014 Data sets", "entries": [{"name": "EuroRomCom Data", "url": "https://github.com/kirkins/euroromcom", "description": "JSON formatted Pan-Romance word lists.", "stars": "22"}, {"name": "Araneum Germanicum", "url": "http://aranea.juls.savba.sk/aranea_about/_germanicum.html", "description": ""}, {"name": "CEHugeWebCorpus", "url": "https://lindat.mff.cuni.cz/repository/xmlui/handle/11372/LRT-2638", "description": "German corpus based on CommonCrawl"}, {"name": "Digitales W\u00f6rterbuch der deutschen Sprache (DWDS)", "url": "https://dwds.de", "description": ""}, {"name": "GC4 Corpus", "url": "https://german-nlp-group.github.io/projects/gc4-corpus.html", "description": ""}, {"name": "IDS Corpora", "url": "https://www1.ids-mannheim.de/kl/projekte/korpora", "description": "German Reference Corpus"}, {"name": "Leipzig Corpora Collection", "url": "https://wortschatz.uni-leipzig.de/en/download/", "description": "sampled sentences in different languages."}, {"name": "SdeWaC", "url": "https://www.ims.uni-stuttgart.de/forschung/ressourcen/korpora/sdewac.en.html", "description": "big german internet corpus"}, {"name": "C-WEP", "url": "http://lingured.info/linguistic-resources/cwep/", "description": ""}, 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"stars": "20"}, {"name": "Sentence Transformers", "url": "https://github.com/UKPLab/sentence-transformers", "description": "", "stars": "16k"}], "notes": [], "source": "Linguistics"}, {"name": "Linguistics \u2014 On Wikipedia", "entries": [{"name": "Bag of words model", "url": "https://en.wikipedia.org/wiki/Bag-of-words_model", "description": ""}, {"name": "Document classification", "url": "https://en.wikipedia.org/wiki/Document_classification", "description": ""}, {"name": "Language models", "url": "https://en.wikipedia.org/wiki/Language_model", "description": ""}, {"name": "Naive Bayes classification", "url": "https://en.wikipedia.org/wiki/Naive_Bayes_classifier", "description": ""}, {"name": "Natural language processing", "url": "https://en.wikipedia.org/wiki/Natural_language_processing", "description": ""}, {"name": "Outline of natural language processing", "url": "https://en.wikipedia.org/wiki/Outline_of_natural_language_processing", "description": ""}, {"name": "Parts of speech 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the same name."}], "notes": [], "source": "Linguistics"}, {"name": "Linguistics \u2014 Books", "entries": [{"name": "Essentials of Linguistics, 2nd edition", "url": "https://ecampusontario.pressbooks.pub/essentialsoflinguistics2/", "description": "An introductory book (2nd edition)."}, {"name": "Introduction to Linguistics", "url": "https://linguistics.ucla.edu/people/Kracht/courses/ling20-fall07/ling-intro.pdf", "description": ""}, {"name": "Natural Language Processing with Python", "url": "https://www.nltk.org/book/", "description": "The book from the NLTK package."}, {"name": "Text Mining with R", "url": "https://www.tidytextmining.com", "description": ""}, {"name": "Foundations of Computational Linguistics", "url": "https://books.google.com/books?id=o9iGAgAAQBAJ\\&dq=Foundations+of+Computational+Linguistics\\&hl=nl\\&source=gbs_navlinks_s", "description": ""}, {"name": "Foundations of Statistical Natural Language Processing", "url": "https://books.google.nl/books?id=YiFDxbEX3SUC", "description": ""}, {"name": "Semisupervised Learning for Computational Linguistics", "url": "https://books.google.com/books/about/Semisupervised_Learning_for_Computationa.html?id=VCd67cGB_rAC\\&redir_esc=y", "description": ""}, {"name": "Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition", "url": "https://books.google.nl/books?id=fZmj5UNK8AQC", "description": ""}, {"name": "The Oxford Handbook of Computational Linguistics", "url": "https://www.oxfordhandbooks.com/view/10.1093/oxfordhb/9780199276349.001.0001/oxfordhb-9780199276349", "description": ""}], "notes": [], "source": "Linguistics"}, {"name": "Linguistics \u2014 Standards", "entries": [{"name": "DTA Basisformat", "url": "https://www.deutschestextarchiv.de/doku/basisformat/", "description": ""}, {"name": "ISO TC 37 SC 4", "url": "https://www.iso.org/committee/297592.html", "description": ""}, {"name": "UIMA", "url": "https://docs.oasis-open.org/uima/v1.0/os/uima-spec-os.html", "description": ""}], "notes": [], "source": "Linguistics"}, {"name": "Linguistics \u2014 Lists", "entries": [{"name": "15 most popular books on good reads", "url": "https://www.goodreads.com/shelf/show/natural-language-processing", "description": ""}, {"name": "nlp-datasets", "url": "https://github.com/niderhoff/nlp-datasets", "description": "", "stars": "5.8k"}, {"name": "NLP-progress", "url": "https://github.com/sebastianruder/NLP-progress", "description": "", "stars": "23k"}, {"name": "/r/LanguageTechnology/", "url": "https://www.reddit.com/r/LanguageTechnology/", "description": ""}, {"name": "awesome-nlp", "url": "https://github.com/keon/awesome-nlp", "description": "", "stars": "17k"}, {"name": "Awesome Community-Curated NLP List", "url": "https://github.com/alvations/awesome-community-curated-nlp", "description": "", "stars": "198"}, {"name": "awesome-chinese-nlp", "url": "https://github.com/crownpku/Awesome-Chinese-NLP", "description": "", "stars": "7.8k"}, {"name": "awesome-danish", "url": "https://github.com/fnielsen/awesome-danish", "description": "", "stars": "172"}, {"name": "awesome-hungarian-nlp", "url": "https://github.com/oroszgy/awesome-hungarian-nlp", "description": "", "stars": "234"}, {"name": "awesome Information Retrieval", "url": "https://github.com/harpribot/awesome-information-retrieval", "description": "", "stars": "1.1k"}, {"name": "Indonesian NLP", "url": "https://github.com/kmkurn/id-nlp-resource", "description": "", "stars": "279"}, {"name": "Norwegian NLP resources", "url": "https://github.com/web64/norwegian-nlp-resources", "description": "", "stars": "181"}, {"name": "German NLP resources", "url": "https://github.com/adbar/German-NLP/", "description": "", "stars": "465"}, {"name": "awesome-nlp-polish", "url": "https://github.com/ksopyla/awesome-nlp-polish", "description": "", "stars": "297"}, {"name": "awesome-spanish-nlp", "url": "https://github.com/dav009/awesome-spanish-nlp", "description": "", "stars": "336"}, {"name": "M. Weisser's list of NLP/Computational Linguistics Resources", "url": "https://martinweisser.org/corpora_site/comp_ling_resources.html", "description": ""}], "notes": [], "source": "Linguistics"}, {"name": "Linguistics \u2014 Communities", "entries": [{"name": "Linguistics Stack Exchange", "url": "https://linguistics.stackexchange.com/", "description": ""}, {"name": "Untranslatable.co, Multilingual urban dictionary", "url": "https://untranslatable.co/", "description": ""}], "notes": [], "source": "Linguistics"}, {"name": "Design Patterns", "entries": [{"name": "Programming language design patterns", "url": "#programming-language-design-patterns", "description": ""}, {"name": "General Architecture", "url": "#general-architecture", "description": ""}, {"name": "Cloud Architecture", "url": "#cloud-architecture", "description": ""}, {"name": "Serverless Architecture", "url": "#serverless-architecture", "description": ""}, {"name": "Micro services & Distributed Systems", "url": "#micro-services--distributed-systems", "description": ""}, {"name": "Internet of things", "url": "#internet-of-things", "description": ""}, {"name": "Big Data", "url": "#big-data", "description": ""}, {"name": "Machine Learning", "url": "#machine-learning", "description": ""}, {"name": "Databases and storage", "url": "#databases", "description": ""}, {"name": "DevOps & containers", "url": "#devops--containers", "description": ""}, {"name": "Mobile", "url": "#mobile", "description": ""}, {"name": "Front End Development", "url": "#front-end-development", "description": ""}, {"name": "Security", "url": "#security", "description": ""}, {"name": "10 common architectural patterns", "url": "https://towardsdatascience.com/10-common-software-architectural-patterns-in-a-nutshell-a0b47a1e9013", "description": "10 Common software architectural patterns in a nutshell."}, {"name": "reactive design patterns", "url": "https://www.reactivedesignpatterns.com/categories.html", "description": "This website accompanies the book Reactive Design Patterns by Roland Kuhn."}, {"name": "scalable System Design Patterns", "url": "https://dzone.com/articles/scalable-system-design", "description": "Scalable system design techniques."}, {"name": "martin fowler", "url": "https://martinfowler.com/eaaCatalog", "description": "Catalog of Patterns of Enterprise Application Architecture."}, {"name": "system-design-primer", "url": "https://github.com/donnemartin/system-design-primer", "description": "Design large-scale systems.", "stars": "273k"}, {"name": "architecting-for-reliability", "url": "https://medium.com/becloudy/architecting-for-reliability-part-1-concepts-17028343089", "description": "Architecting for Reliability Part 1/3."}, {"name": "InnerSource Patterns", "url": "https://patterns.innersourcecommons.org/", "description": "Patterns for implementing InnerSource, the use of open source principles and practices for software development within the confines of an organization."}, {"name": "Cloud cost hacking", "url": "https://hackernoon.com/cloud-cost-hacking-fc35fd19985d", "description": "Patterns for reducing cloud costs."}, {"name": "AWS cloud design patterns", "url": "http://en.clouddesignpattern.org/index.php/Main_Page", "description": "The AWS Cloud Design Patterns (CDP)."}, {"name": "Azure cloud design patterns", "url": "https://docs.microsoft.com/en-us/azure/architecture/patterns", "description": "Building reliable, scalable, secure applications in the cloud."}, {"name": "cloud computing patterns", "url": "http://www.cloudcomputingpatterns.org", "description": "Cloud Computing Patterns."}, {"name": "Google Cloud Solutions", "url": "https://gcp.solutions", "description": "Real business cases solutions with diagrams on GCP."}, {"name": "saas tenant isolation strategies", "url": "https://d1.awsstatic.com/whitepapers/saas-tenant-isolation-strategies.pdf", "description": "Isolating Resources in a Multi-Tenant Environment"}, {"name": "design patterns for 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"https://serverlessland.com/patterns", "description": "Serverless Patterns Collection."}, {"name": "serverless-design-patterns-and-best-practices", "url": "https://www.packtpub.com/free-ebook/serverless-design-patterns-and-best-practices/9781788620642", "description": ""}, {"name": "microservices", "url": "http://microservices.io/patterns", "description": "A pattern language for microservices."}, {"name": "microservices-anti patterns", "url": "https://www.oreilly.com/ideas/microservices-antipatterns-and-pitfalls", "description": "Microservices antipatterns and pitfalls."}, {"name": "12factor", "url": "https://12factor.net", "description": "The twelve-factor methodology."}, {"name": "microservices-sync-vs-async", "url": "https://dzone.com/articles/patterns-for-microservices-sync-vs-async", "description": "Microservices patterns, synchronous and asynchronous."}, {"name": "message-queues", "url": "http://tech.forter.com/comparing-message-queue-architectures-on-aws", "description": "Comparing-message-queue-architectures."}, {"name": "enterprise Integration Patterns", "url": "http://www.enterpriseintegrationpatterns.com/patterns/messaging/toc.html", "description": "Patterns and Best Practices for Enterprise Integration."}, {"name": "martinfowler", "url": "https://martinfowler.com/articles/patterns-of-distributed-systems/", "description": "Patterns of Distributed Systems."}, {"name": "iot-communication-patterns", "url": "https://dzone.com/articles/strengths-and-weaknesses-of-iot-communication-patterns", "description": "Strengths and Weaknesses of IoT Communication Patterns."}, {"name": "design-patterns-for-iot", "url": "https://community.arm.com/iot/b/blog/posts/design-patterns-for-an-internet-of-things", "description": "A Design Pattern Framework for IoT Architecture."}, {"name": "mapreduce-patterns", "url": "https://highlyscalable.wordpress.com/2012/02/01/mapreduce-patterns", "description": "Map-reduce patterns."}, {"name": "streaming-realtime-analytics", "url": "https://iwringer.wordpress.com/2015/08/03/patterns-for-streaming-realtime-analytics", "description": "13 Stream Processing Patterns for building Streaming and Realtime Applications."}, {"name": "distributed-ml-patterns", "url": "https://github.com/terrytangyuan/distributed-ml-patterns", "description": "Distributed machine learning system patterns.", "stars": "384"}, {"name": "containerspatterns", "url": "https://l0rd.github.io/containerspatterns", "description": "There are a Thousand Ways to Use Containers."}, {"name": "kubernetes", "url": "https://github.com/gravitational/workshop/blob/master/k8sprod.md", "description": "Kubernetes Production Patterns.", "stars": "2k"}, {"name": "container-design-patterns", "url": "https://vitalflux.com/container-design-patterns-kubernetes-pods-design", "description": "Container Design Patterns for Kubernetes Pods Design."}, {"name": "best-practices-for-shell-scripts", "url": "https://stackoverflow.com/questions/78497/design-patterns-or-best-practices-for-shell-scripts", "description": "Best practices for shell scripts."}, {"name": "kubernetes patterns", "url": "https://github.com/ro14nd-talks/kubernetes-patterns", "description": "Presentation around the book kubernetes paterns.", "stars": "31"}, {"name": "kubernetes patterns book", "url": "https://k8spatterns.io/", "description": ""}, {"name": "cdk patterns", "url": "https://cdkpatterns.com/", "description": "cdk patterns."}, {"name": "CDK Construct Catalog", "url": "https://awscdk.io/", "description": "CDK construct catalog."}, {"name": "user Interface", "url": "http://ui-patterns.com", "description": "User Interface Design patterns."}, {"name": "oocss-acss-bem-smacss", "url": "http://clubmate.fi/oocss-acss-bem-smacss-what-are-they-what-should-i-use", "description": "OOCSS, ACSS, BEM, SMACSS: what are they? What should I use?"}, {"name": "css-protips", "url": "https://github.com/AllThingsSmitty/css-protips", "description": "A collection of tips to help take your CSS skills pro.", "stars": "28k"}, {"name": "responsive design patterns", "url": "https://bradfrost.github.io/this-is-responsive/patterns.html#layout", "description": "A collection of patterns and modules for responsive designs."}, {"name": "opensecurityarchitecture", "url": "http://www.opensecurityarchitecture.org/cms/library/patternlandscape", "description": "Security Architecture Patterns."}, {"name": "martinfowler", "url": "https://www.martinfowler.com/articles/web-security-basics.html", "description": "Web-security-basics."}, {"name": "cloud-security", "url": "https://www.infoq.com/articles/cloud-security-architecture-intro", "description": "Cloud security architecture intro."}, {"name": "owasp", "url": "https://www.owasp.org/index.php/Security_by_Design_Principles", "description": "Security by Design Principles."}, {"name": "azure-security", "url": "https://docs.microsoft.com/en-us/azure/security/security-best-practices-and-patterns", "description": "Azure security best practices and patterns."}, {"name": "Django Design Patterns and Best Practices", "url": "https://arunrocks.com/static/book/django-design-patterns-best-practices-2-ed", "description": ""}, {"name": "MongoDB Applied Design Patterns", "url": "http://shop.oreilly.com/product/0636920027041.do", "description": ""}, {"name": "Design-Patterns-Elements-Reusable-Object-Oriented", "url": "https://www.amazon.com/Design-Patterns-Elements-Reusable-Object-Oriented/dp/0201633612/ref=sr_1_4?s=books\\&ie=UTF8\\&qid=1528136036\\&sr=1-4\\&keywords=design+patterns", "description": ""}, {"name": "Head-First-Design-Patterns-Brain-Friendly", "url": "https://www.amazon.com/Head-First-Design-Patterns-Brain-Friendly/dp/0596007124/ref=pd_sim_14_4", "description": ""}, {"name": "Effective-Java-3rd-Joshua-Bloch", "url": "https://www.amazon.com/Effective-Java-3rd-Joshua-Bloch/dp/0134685997/ref=pd_sim_14_7", "description": ""}, {"name": "Node.js Design Patterns", "url": "https://www.packtpub.com/web-development/nodejs-design-patterns-second-edition", "description": ""}, {"name": "Game Programming Patterns", "url": "https://github.com/munificent/game-programming-patterns", "description": "", "stars": "4.1k"}, {"name": "Object Design Style Guide", "url": "https://www.manning.com/books/object-design-style-guide", "description": ""}, {"name": "Spring Boot in Practice", "url": "https://www.manning.com/books/spring-boot-in-practice", "description": ""}, {"name": "Designing Microservices", "url": "https://www.manning.com/books/designing-microservices", "description": ""}], "notes": [], "source": "Design Patterns"}, {"name": "Information Retrieval \u2014 Contributing", "entries": [{"name": "Books", "url": "#books", "description": ""}, {"name": "Courses", "url": "#courses", "description": ""}, {"name": "Software", "url": "#software", "description": ""}, {"name": "Datasets", "url": "#datasets", "description": ""}, {"name": "Talks", "url": "#talks", "description": ""}, {"name": "Conferences", "url": "#conferences", "description": ""}, {"name": "Blogs", "url": "#blogs", "description": ""}, {"name": "Introduction to Information Retrieval", "url": "http://www-nlp.stanford.edu/IR-book/", "description": "C.D. Manning, P. Raghavan, H. Sch\u00fctze. Cambridge UP, 2008. (First book for getting started with Information Retrieval)."}, {"name": "Search Engines: Information Retrieval in Practice", "url": "http://ciir.cs.umass.edu/downloads/SEIRiP.pdf", "description": "Bruce Croft, Don Metzler, and Trevor Strohman. 2009. (Great book for readers interested in knowing how Search Engines work. The book is very detailed)."}, {"name": "Modern Information Retrieval", "url": "http://people.ischool.berkeley.edu/~hearst/irbook/", "description": "R. Baeza-Yates, B. Ribeiro-Neto. Addison-Wesley, 1999."}, {"name": "Information Retrieval in Practice", "url": "http://www.search-engines-book.com/", "description": "B. Croft, D. Metzler, T. Strohman. Pearson Education, 2009."}, {"name": "Mining the Web: Analysis of Hypertext and Semi Structured Data", "url": "http://www.cse.iitb.ac.in/%7Esoumen/mining-the-web/", "description": "S. Chakrabarti. Morgan Kaufmann, 2002."}, {"name": "Language Modeling for Information Retrieval", "url": "http://www.springer.com/prod/b/1-4020-1216-0?referer=www.wkap.nl", "description": "W\\.B. Croft, J. Lafferty. Springer, 2003. (Handles Language Modeling aspect of Information Retrieval. It also extensively details probabilistic perspective in this domain, which is interesting)."}, {"name": "Information Retrieval: A Survey", "url": "http://www.csee.umbc.edu/cadip/readings/IR.report.120600.book.pdf", "description": "Ed Greengrass, 2000. (Comprehensive survey of Conventional Information Retrieval, before Deep Learning era)."}, {"name": "Introduction to Modern Information Retrieval", "url": "https://www.amazon.com/Introduction-Modern-Information-Retrieval-Third/dp/185604694X", "description": "G.G. Chowdhury. Neal-Schuman, 2003. (Intended for students of library and information studies)."}, {"name": "Text Information Retrieval Systems", "url": "https://www.amazon.com/Information-Retrieval-Systems-Library-Hardcover/dp/0123694124", "description": "C.T. Meadow, B.R. Boyce, D.H. Kraft, C.L. Barry. Academic Press, 2007 (library/information science perspective)."}, {"name": "INF384H / CS395T / INF350E: Concepts of Information Retrieval (and Web Search)", "url": "http://courses.ischool.utexas.edu/Lease_Matt/2016/Fall/INF384H/", "description": "Matthew Lease (University of Texas at Austin)."}, {"name": "CS 276 / LING 286: Information Retrieval and Web Search", "url": "http://web.stanford.edu/class/cs276/", "description": "Chris Manning and Pandu Nayak (Stanford University)."}, {"name": "CS 371R: Information Retrieval and Web Search", "url": "https://www.cs.utexas.edu/~mooney/ir-course/", "description": "Raymond J. Mooney (University of Texas at Austin)."}, {"name": "CS 172: Introduction to Information Retrieval", "url": "http://www.cs.ucr.edu/~vagelis/classes/CS172/", "description": "Vagelis Hristidis (University of California - Riverside)."}, {"name": "SIMS 240: Principles of Information Retrieval", "url": "http://www2.sims.berkeley.edu/academics/courses/is240/s06/", "description": "Ray R. Larson (UC berkeley)."}, {"name": "11-442 / 11-642: Search Engines", "url": "http://boston.lti.cs.cmu.edu/classes/11-642/", "description": "Jamie Callan (CMU)."}, {"name": "600.466: Information Retrieval and Web Agents", "url": "http://www.cs.jhu.edu/%7Eyarowsky/cs466.html", "description": "David Yarowsky (John Hopkins University)."}, {"name": "CS 435: Information Retrieval, Discovery, and Delivery", "url": "http://www.cs.princeton.edu/courses/archive/spring06/cos435/", "description": "Andrea LaPaugh (Princeton University)."}, {"name": "Information Retrieval and Data Mining", "url": "https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/teaching/winter-semester-201516/information-retrieval-and-data-mining/", "description": "Dr. Jilles Vreeken , Prof. Dr. Gerhard Weikum (MPI)."}, {"name": "Coursera - Text Retrieval and Search Engines", "url": "https://www.coursera.org/learn/text-retrieval", "description": "Prof. ChengXiang Zhai (University of Illinois at Urbana-Champaign)."}, {"name": "Apache Lucene", "url": "http://lucene.apache.org/core/", "description": "Open Source Search Engine that can be used to test Information Retrieval Algorithm. Twitter uses this core for its real-time search."}, {"name": "The Lemur Project", "url": "http://www.lemurproject.org", "description": "The Lemur Project develops search engines, browser toolbars, text analysis tools, and data resources that support research and development of information retrieval and text mining software."}, {"name": "DBPedia", "url": "http://wiki.dbpedia.org/Downloads2015-10", "description": "Linked data web."}, {"name": "Cranfield Collections", "url": "http://ir.dcs.gla.ac.uk/resources/test_collections/cran/", "description": "This is one of the first collections in IR domain, however the dataset is too small for any statistical significance analysis, but is nevertheless suitable for pilot runs."}, {"name": "TREC Collections", "url": "http://trec.nist.gov/data.html", "description": "TREC is the benchmark dataset used by most IR and Web search algorithms. It has several tracks, each of which consists of dataset to test for a specific task. The tracks along with suggested use-case are:"}, {"name": "GOV2 Test Collection", "url": "http://ir.dcs.gla.ac.uk/test_collections/gov2-summary.htm", "description": "This is one of the largest Web collection of documents obtained from crawl of government websites by Charlie Clarke and Ian Soboroff, using NIST hardware and network, then formatted by Nick Craswel."}, {"name": "NTCIR Test Collection", "url": "http://research.nii.ac.jp/ntcir/data/data-en.html", "description": "This is collection of wide variety of dataset ranging from Ad-hoc collection, Chinese IR collection, mobile clickthrough collections to medical collections. The focus of this collection is mostly on east asian languages and cross language information retrieval."}, {"name": "Conference and Labs of the Evaluation Forum (CLEF) dataset", "url": "http://www.clef-initiative.eu/dataset/test-collection", "description": "It contains a multi-lingual document collection. The test suite includes:"}, {"name": "Reuters Corpora", "url": "http://trec.nist.gov/data/reuters/reuters.html", "description": "The corpora is now available through NIST. The corpora includes following:"}, {"name": "20 Newsgroup dataset", "url": "https://kdd.ics.uci.edu/databases/20newsgroups/20newsgroups.html", "description": "This data set consists of 20000 newsgroup messages.posts taken from 20 newsgroup topics."}, {"name": "English Gigaword Fifth Edition", "url": "https://catalog.ldc.upenn.edu/LDC2011T07", "description": "This data set is a comprehensive archive of English newswire text data including headlines, datelines and articles."}, {"name": "Document Understanding Conference (DUC) datasets", "url": "http://www-nlpir.nist.gov/projects/duc/data.html", "description": "Past newswire/paper datasets (DUC 2001 - DUC 2007) are available upon request."}, {"name": "CMU List", "url": "http://boston.lti.cs.cmu.edu/callan/Data/#DIR", "description": ""}, {"name": "Stanford List", "url": "http://nlp.stanford.edu/IR-book/html/htmledition/standard-test-collections-1.html", "description": ""}, {"name": "University of Tennesse Knoxville", "url": "http://web.eecs.utk.edu/research/lsi/corpa.html", "description": ""}, {"name": "Extreme Classification: A New Paradigm for Ranking & Recommendation", "url": "https://youtu.be/1X71fTx1LKA", "description": "Manik Verma (Microsoft Research)"}, {"name": "The next web", "url": "https://www.ted.com/talks/tim_berners_lee_on_the_next_web", "description": "Tim Berners-Lee (Ted Talk) \\[Tim Berners-Lee invented the World Wide Web. He leads the World Wide Web Consortium (W3C), overseeing the Web's standards and development]."}, {"name": "Is Pivot a turning point for web exploration?", "url": "https://www.ted.com/talks/gary_flake_is_pivot_a_turning_point_for_web_exploration?utm_source=tedcomshare\\&utm_medium=referral\\&utm_campaign=tedspread", "description": "Gary Flake, Technical Fellow at Microsoft (TED Talks)."}, {"name": "Challenges in Building Large-Scale Information Retrieval Systems", "url": "http://videolectures.net/wsdm09_dean_cblirs/", "description": "Jeff Dean (WSDM Conference, 2009)."}, {"name": "Knowledge-based Information Retrieval with Wikipedia", "url": "https://youtu.be/NFCZuzA4cFc", "description": "David Wilne (The University of Waikato, 2008)."}, {"name": "Music Information Retrieval Using Locality Sensitive Hashing", "url": "https://www.youtube.com/watch?v=SghMq1xBJPI\\&list=PLdktw5AjQqP2gpQNgHRJaSgEkHiaVLfTi\\&index=24", "description": "Steve Tjoa (RackSpace Developers) \\[This talk shows that IR is not just text and images]."}, {"name": "The Functional Web -- The Future of Apps and the Web", "url": "https://youtu.be/u6oqr3gMyxk", "description": "Liron Shapira (Box Tech Talk)."}, {"name": "Information Experience - Solution to Information Overload on Web", "url": "https://youtu.be/EnvtsbCfiAI", "description": "Doug Imbruce (Techcrunch Disrupt)\\[Doug Imbruce is the Founder of Qwiki, Inc, a technology startup in New York, NY, acquired by Yahoo! in 2013]."}, {"name": "Internet Privacy", "url": "https://youtu.be/tnsyhKHalGs", "description": "Dr. Alma Whitten (Google Brussels Tech Talk)."}, {"name": "The moral bias behind your search results", "url": "https://www.ted.com/talks/andreas_ekstrom_the_moral_bias_behind_your_search_results", "description": "Andreas Ekstr\u00f6m (Swedish Author & Journalist, TED Talk)."}, {"name": "Beware online \"filter bubbles\"", "url": "https://www.ted.com/talks/eli_pariser_beware_online_filter_bubbles?language=en", "description": "Eli Pariser (Author of the Filter Bubble, TED Talk)."}, {"name": "Think your email's private? Think again", "url": "https://www.ted.com/talks/andy_yen_think_your_email_s_private_think_again", "description": "Andy Yen (CERN, TED Talk) \\[This talk talks about privacy, which Search Engines intrude into, and how can people protect it]."}, {"name": "Do we have the right to be forgotten?", "url": "https://youtu.be/YO0lbdhF30g", "description": "Michael Douglas \\[TEDx SouthBank]."}, {"name": "The case for anonymity online", "url": "https://www.ted.com/talks/christopher_m00t_poole_the_case_for_anonymity_online?utm_source=tedcomshare\\&utm_medium=referral\\&utm_campaign=tedspread", "description": "Christopher \"moot\" Poole\" (Ted Talks) \\[Christopher \"moot\" Poole is founder of 4chan, an online imageboard whose anonymous denizens have spawned the web's most bewildering and influential subculture]."}, {"name": "Information Retrieval and the Web", "url": "http://research.google.com/pubs/InformationRetrievalandtheWeb.html", "description": "Google Research."}, {"name": "IR Thoughts", "url": "https://irthoughts.wordpress.com", "description": "Dr. Edel Garcia."}, {"name": "Deep Neural Network Learns to Judge Books by Their Covers", "url": "https://www.technologyreview.com/s/602807/deep-neural-network-learns-to-judge-books-by-their-covers/?utm_campaign=socialflow\\&utm_source=facebook\\&utm_medium=post", "description": "Information Extraction."}, {"name": "Can Deep Learning help solve Deep Learning", "url": "http://www.theverge.com/2016/11/7/13551210/ai-deep-learning-lip-reading-accuracy-oxford", "description": "Information Retrieval from Lip Reading."}, {"name": "To reduce biases in machine learning start with openly discussing the problem", "url": "https://enterprisersproject.com/article/2016/9/reduce-biases-machine-learning-start-openly-discussing-problem?sc_cid=70160000000q8YTAAY", "description": "Bias in Relevance."}, {"name": "Whoa, Google\u2019s AI Is Really Good at Pictionary", "url": "https://www.wired.com/2016/11/woah-googles-ai-really-good-pictionary/", "description": "Sketch-based search."}, {"name": "Neural Network Learns to Identify Criminals by Their Faces", "url": "https://www.technologyreview.com/s/602955/neural-network-learns-to-identify-criminals-by-their-faces/?utm_campaign=socialflow\\&utm_source=facebook\\&utm_medium=post", "description": "Information Extraction."}], "notes": [], "source": "Information Retrieval"}, {"name": "Msr", "entries": [{"name": "Repositories", "url": "#repositories", "description": ""}, {"name": "Data Sets", "url": "#data-sets", "description": ""}, {"name": "Tools", "url": "#tools", "description": ""}, {"name": "Research Outlets", "url": "#research-outlets", "description": ""}, {"name": "ESEUR", "url": "https://github.com/Derek-Jones/ESEUR-code-data", "description": "", "stars": "418"}, {"name": "Directory of MSR Datasets", "url": "https://authecesofteng.github.io/directory-msr-datasets/", "description": ""}, {"name": "FLOSSmole", "url": "https://flossmole.org/collection_details", "description": "Collaborative collection and analysis of free/libre/open source project data."}, {"name": "PROMISE", "url": "http://promise.site.uottawa.ca/SERepository/datasets-page.html", "description": "About 20 datasets related to software engineering research."}, {"name": "SIR", "url": "http://sir.unl.edu/portal/index.php", "description": "Software-artifact infrastructure repository; Java, C, C++, and C# software together with test suites and fault data."}, {"name": "Zenodo", "url": "http://zenodo.org/", "description": "Software data collections in CERN's open-access repository."}, {"name": "AndroidTimeMachine", "url": "https://androidtimemachine.github.io", "description": "Graph-based dataset of commit history of 8,431 real-world Android apps."}, {"name": "AndroZoo", "url": "https://androzoo.uni.lu/", "description": "Collection of Android Applications."}, {"name": "Bug Prediction Dataset", "url": "http://bug.inf.usi.ch/index.php", "description": "Collection of models and metrics from Eclipse JDT Core, PDE UI, Equinox Framework, Lucene, Mylyn, and their histories."}, {"name": "Code Reviews", "url": "http://kin-y.github.io/miningReviewRepo/", "description": "Code reviews of OpenStack, LibreOffice, AOSP, Qt, Eclipse."}, {"name": "CoREBench", "url": "http://www.comp.nus.edu.sg/%7Erelease/corebench/", "description": "Collection of 70 realistically Complex Regression Errors that were systematically extracted from the repositories and bug reports of four open-source software projects: Make, Grep, Findutils, and Coreutils."}, {"name": "Cryptocurrency GitHub Activity and Market Cap Dataset", "url": "https://rvantonder.github.io/CryptOSS/", "description": "Activity such as commits, stars, prices, and market cap of over 200 cryptocurrency projects on GitHub over time. Raw, historic data is also [available](https://zenodo.org/record/2595588#.XRuzuBNKhSM)."}, {"name": "Defects4J", "url": "https://github.com/rjust/defects4j", "description": "Collection of 395 reproducible bugs collected with the goal of advancing software testing research.", "stars": "889"}, {"name": "Eclipse AERI stacktraces", "url": "http://download.eclipse.org/scava/datasets/aeri_stacktraces/aeri_stacktraces.html", "description": "Collection of stacktraces of Exceptions encountered by users of the Eclipse IDE, as retrieved by the AERI reporting system."}, {"name": "Enron Spreadsheets and Emails", "url": "https://figshare.com/articles/Enron_Spreadsheets_and_Emails/1221767", "description": "All the spreadsheets and emails used in the paper 'Enron's Spreadsheets and Related Emails: A Dataset and Analysis'."}, {"name": "Findbugs-maven", "url": "https://github.com/istlab/maven_bug_catalog", "description": "Set of FindBugs reports for the Java projects of the [Maven repository](https://maven.apache.org).", "stars": "2"}, {"name": "GHTorrent", "url": "http://ghtorrent.org/", "description": "Scalable, queriable, offline mirror of data offered through the GitHub REST API."}, {"name": "GitHub Bug Dataset", "url": "http://www.inf.u-szeged.hu/~ferenc/papers/GitHubBugDataSet/", "description": "Bug Dataset of 15 Java open-source projects characterized by static source code metrics."}, {"name": "GitHub on Google BigQuery", "url": "https://cloud.google.com/bigquery/public-data/github", "description": "GitHub data accessible through Google's BigQuery platform."}, {"name": "Grammar Zoo", "url": "http://slebok.github.io/zoo/", "description": "Collection of grammars of DSLs and GPLs, some extracted from metamodels and document schemata."}, {"name": "KaVE", "url": "http://www.kave.cc/datasets", "description": "Developer tool interaction data."}, {"name": "Linux Kernel 4.21 Call Graphs", "url": "https://zenodo.org/record/2652487#.XRnvomUzb0o", "description": "The Linux Kernel 4.21 Call Graphs produced using [CScout (\u2b50213)](https://github.com/dspinellis/cscout/)."}, {"name": "Maven metrics", "url": "https://github.com/bkarak/data_msr2015", "description": "Collection of software complexity & sizing metrics for the [Maven Repository](https://maven.apache.org).", "stars": "0"}, {"name": "Maven Dependency Graph", "url": "https://zenodo.org/record/1489120", "description": "Snapshot of the whole Maven Central taken on September 6, 2018, stored in a graph database."}, {"name": "mzdata", "url": "https://github.com/jxshin/mzdata", "description": "Multi-extract and multi-level dataset of Mozilla issue tracking history.", "stars": "7"}, {"name": "npm-miner", "url": "https://github.com/AuthEceSoftEng/msr-2018-npm-miner", "description": "The dataset contains the analysis results of 5 open source software quality tools eslint, escomplex, nsp, jsinspect and sonarjs for 2000 popular (in terms of stars and downloads) npm packages.", "stars": "1"}, {"name": "OCL Expressions on GitHub", "url": "https://github.com/tue-mdse/ocl-dataset", "description": "Data set of 9188 OCL expressions originating from 504 EMF meta-models in 245 systematically selected GitHub repositories.", "stars": "6"}, {"name": "RepoReapers Data Set", "url": "https://reporeapers.github.io", "description": "Data set containing a collection of *engineered software projects* from GHTorrent."}, {"name": "Software Heritage Graph Dataset", "url": "https://doi.org/10.5281/zenodo.2583978", "description": "Graph of the development history and file metadata of >80 million software projects from various forges (GitHub, Gitlab, Debian, PyPI, Google Code, etc) in a deduplicated and unified representation ([paper here](https://dl.acm.org/citation.cfm?id=3341907))."}, {"name": "STAMINA", "url": "http://stamina.chefbe.net/download", "description": "(STAte Machine INference Approaches) data are used to benchmark techniques for learning deterministic finite state machines (FSMs)."}, {"name": "Stack Exchange", "url": "https://archive.org/details/stackexchange", "description": "Anonymized dump of all user-contributed content on the Stack Exchange network."}, {"name": "SWE-bench", "url": "https://www.swebench.com", "description": "SWE-bench is a benchmark designed to evaluate the ability of AI models to solve real-world software engineering problems by generating fixes for issues found in open-source code repositories."}, {"name": "TravisTorrent", "url": "http://travistorrent.testroots.org", "description": "Provides free and easy-to-use Traivs CI build analyses."}, {"name": "Ultimate Debian Database (UDD)", "url": "https://wiki.debian.org/UltimateDebianDatabase", "description": "Data about various aspects of Debian (e.g. packages, bugs, mainteners) in the same SQL database."}, {"name": "Unified Bug Dataset", "url": "http://www.inf.u-szeged.hu/~ferenc/papers/UnifiedBugDataSet/", "description": "Static source code based datasets which includes the Bugcatchers Bug 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[Coral Edge TPU examples](https://coral.ai/examples/)."}, {"name": "TensorFlow Lite Flutter Plugin", "url": "https://github.com/am15h/tflite_flutter_plugin/", "description": "Provides a dart API similar to the TensorFlow Lite Java API for accessing TensorFlow Lite interpreter and performing inference in flutter apps. [tflite\\_flutter on pub.dev](https://pub.dev/packages/tflite_flutter).", "stars": "362"}, {"name": "Netron", "url": "https://github.com/lutzroeder/netron", "description": "A tool for visualizing models.", "stars": "20k"}, {"name": "AI benchmark", "url": "http://ai-benchmark.com/tests.html", "description": "A website for benchmarking computer vision models on smartphones."}, {"name": "Performance measurement", "url": "https://www.tensorflow.org/lite/performance/measurement", "description": "How to measure model performance on Android and iOS."}, {"name": "Material design guidelines for ML", "url": "https://material.io/collections/machine-learning/patterns-for-machine-learning-powered-features.html", "description": "How to design machine learning powered features. 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