Stars
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
An open protocol enabling communication and interoperability between opaque agentic applications.
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral
The reinforcement learning training code for AgiBot X1.
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
This project aims to collect the latest "call for reviewers" links from various top CS/ML/AI conferences/journals
High-resolution models for human tasks.
Isaac Gym Reinforcement Learning Environments
Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695
Automate the tedious development tasks with AI
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
A collaboration friendly studio for NeRFs
Unsupervised text tokenizer for Neural Network-based text generation.
A command-line productivity tool powered by AI large language models like GPT-4, will help you accomplish your tasks faster and more efficiently.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
A collection of useful datasets for robotics and computer vision
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
Flops counter for neural networks in pytorch framework
📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
Forward Mode Automatic Differentiation for Julia