Animation engine for explanatory math videos

🙌 OpenHands: Code Less, Make More

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

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

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

DSPy: The framework for programming—not prompting—language models

Official inference repo for FLUX.1 models

Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.

Pyodide is a Python distribution for the browser and Node.js based on WebAssembly

Structured Text Generation

SGLang is a fast serving framework for large language models and vision language models.

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Multi-user server for Jupyter notebooks

Cosmos is a world model development platform that consists of world foundation models, tokenizers and video processing pipeline to accelerate the development of Physical AI at Robotics & AV labs. C…

Accessible large language models via k-bit quantization for PyTorch.

Open Source framework for voice and multimodal conversational AI

AllenAI's post-training codebase

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

The official Python SDK for Model Context Protocol servers and clients

Python client and plugin host for Nvim

Helm Chart & Documentation for deploying JupyterHub on Kubernetes

Agentless🐱: an agentless approach to automatically solve software development problems

Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs.

Inspect: A framework for large language model evaluations

MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering

Build effective agents using Model Context Protocol and simple workflow patterns

Framework for Multi-Agent Deep Reinforcement Learning in Poker

An agent benchmark with tasks in a simulated software company.

Verifiers for LLM Reinforcement Learning