A feature-rich command-line audio/video downloader

Stable Diffusion web UI

🤗 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.

Command-line program to download videos from YouTube.com and other video sites

The agent engineering platform.

Robust Speech Recognition via Large-Scale Weak Supervision

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

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

The Web framework for perfectionists with deadlines.

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

The Python programming language

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

A natural language interface for computers

Inference code for Llama models

Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthr…

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

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

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

The uncompromising Python code formatter

the only cheat sheet you need

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Convert PDF to markdown + JSON quickly with high accuracy

Python packaging and dependency management made easy

You like pytorch? You like micrograd? You love tinygrad! ❤️

SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.

Code and documentation to train Stanford's Alpaca models, and generate the data.

Distributed Task Queue (development branch)

SGLang is a high-performance serving framework for large language models and multimodal models.

Deezer source separation library including pretrained models.