📚 Freely available programming books

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.

🤗 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.

A feature-rich command-line audio/video downloader

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Robust Speech Recognition via Large-Scale Weak Supervision

Python tool for converting files and office documents to Markdown.

🌐 Make websites accessible for AI agents. Automate tasks online with ease.

The Python micro framework for building web applications.

scikit-learn: machine learning in Python

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

💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline

A natural language interface for computers

Interact with your documents using the power of GPT, 100% privately, no data leaks

⏬ Dumb downloader that scrapes the web

Deepfakes Software For All

Rich is a Python library for rich text and beautiful formatting in the terminal.

Get your documents ready for gen AI

Developer-first error tracking and performance monitoring

Streamlit — A faster way to build and share data apps.

the only cheat sheet you need

Official Code for DragGAN (SIGGRAPH 2023)

A community-supported supercharged document management system: scan, index and archive all your documents

Portable file server with accelerated resumable uploads, dedup, WebDAV, FTP, TFTP, zeroconf, media indexer, thumbnails++ all in one file, no deps

Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚

OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched

A book-in-progress about the Linux kernel and its insides.