Stars
Master programming by recreating your favorite technologies from scratch.
freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
😎 Awesome lists about all kinds of interesting topics
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
A complete computer science study plan to become a software engineer.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An opinionated list of awesome Python frameworks, libraries, software and resources.
A list of Free Software network services and web applications which can be hosted on your own servers
The library for web and native user interfaces.
All Algorithms implemented in Python
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
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
An Open Source Machine Learning Framework for Everyone
A book series (2 published editions) on the JS language.
🙃 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…
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
Stable Diffusion web UI
A curated list of awesome Go frameworks, libraries and software
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！
🤗 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.