Master programming by recreating your favorite technologies from scratch.

😎 Awesome lists about all kinds of interesting topics

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

An opinionated list of awesome Python frameworks, libraries, software and resources.

Curated list of project-based tutorials

🎓 Path to a free self-taught education in Computer Science!

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…

Papers from the computer science community to read and discuss.

A collection of (mostly) technical things every software developer should know about

The world’s fastest framework for building websites.

Animation engine for explanatory math videos

A list of awesome beginners-friendly projects.

A curated awesome list of lists of interview questions. Feel free to contribute! 🎓

🔗 Some useful websites for programmers.

A topic-centric list of HQ open datasets.

A curated list of awesome Machine Learning frameworks, libraries and software.

List of Computer Science courses with video lectures.

Protocol Buffers - Google's data interchange format

A high-throughput and memory-efficient inference and serving engine for LLMs

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

A list of cool features of Git and GitHub.

📃 A list of practical projects that anyone can solve in any programming language.

Python Data Science Handbook: full text in Jupyter Notebooks

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

aider is AI pair programming in your terminal

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

📄 Configuration files that enhance Cursor AI editor experience with custom rules and behaviors

A toolkit for developing and comparing reinforcement learning algorithms.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…