Stars
Master programming by recreating your favorite technologies from scratch.
😎 Awesome lists about all kinds of interesting topics
freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
📚 Freely available programming books
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A complete computer science study plan to become a software engineer.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
An opinionated list of Python frameworks, libraries, tools, and resources.
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
Curated list of project-based tutorials
The library for web and native user interfaces.
All Algorithms implemented in Python
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core
🎓 Path to a free self-taught education in Computer Science!
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
An Open Source Machine Learning Framework for Everyone
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
A book series (2 published editions) on the JS language.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Python - 100天从新手到大师
Flutter makes it easy and fast to build beautiful apps for mobile and beyond
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
Master the command line, in one page
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.