Coding super-intelligence to find the most optimized Python code. Use it to optimize existing codebases or new Pull requests as a GitHub Action or a VS Code Extension.

Data Infrastructure providing a declarative, incremental approach for multimodal AI workloads.

A Toolkit to Help Optimize Onnx Model

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

Ultralytics YOLO 🚀

AstroNvim is an aesthetic and feature-rich neovim config that is extensible and easy to use with a great set of plugins

Open-Source Distributed Reinforcement Learning Framework by Stanford Vision and Learning Lab

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

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