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🎓 Path to a free self-taught education in Computer Science!
Style guides for Google-originated open-source projects
🧠 Laws, Theories, Principles and Patterns for developers and technologists.
Library for fast text representation and classification.
Font files available from Google Fonts, and a public issue tracker for all things Google Fonts
A beautiful, simple, clean, and responsive Jekyll theme for academics
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A collection of resources and papers on Diffusion Models
⚡ The Open Research Copilot. Build high-perf Portfolios, Lab Sites & Docs in Markdown + Jupyter. 100% Data Control. 🦫 数据科学家的开源 Copilot。一键部署 👇
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
🍀 Local git statistics including GitHub-like contributions calendars.
A polyglot document intelligence framework with a Rust core. Extract text, metadata, and structured information from PDFs, Office documents, images, and 50+ formats. Available for Rust, Python, Rub…
Procedurally generated Chinese landscape painting.
A rendition of everyone's favorite 1995 Microsoft operating system for Linux.
Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
A simple (99% ES2015 less) tutorial for React
Robust, fast, scalable, and sandboxed open-source online code execution system for humans and AI.
A book covering the fundamentals of data visualization
Build your own personal finance analytics using Plaid, Google Sheets and CircleCI.
A curated list of awesome papers on dataset distillation and related applications.
Source code examples from the Parallel Forall Blog
presentations as code - author cool slide decks, text-only, offline-ready, collaborative
Set of plugins for beloved sublime text editor
Notes for Fastai Deep Learning Course
PyTorch for Numpy users. https://pytorch-for-numpy-users.wkentaro.com