Model-based design and verification for robotics.

Visualize streams of multimodal data. Free, fast, easy to use, and simple to integrate. Built in Rust.

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

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

Webots Robot Simulator

An extremely fast Python package and project manager, written in Rust.

Virtual whiteboard for sketching hand-drawn like diagrams

🤗 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.

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

The Modular Platform (includes MAX & Mojo)

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

Package management made easy

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

GitHub Action to build and push Docker images with Buildx

High-quality implementations of standard and SOTA methods on a variety of tasks.

A Python framework for accelerated simulation, data generation and spatial computing.

Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.

Unified framework for robot learning built on NVIDIA Isaac Sim

HedgeDoc - Ideas grow better together

Hi, I'm a library for interacting with GItHub's REST API in a convenient and ergonomic way. I work on Python 3.6+.

RL implementations

MUKCa: Minimal and Userfriendly Kinematics Calibration for Redundant Manipulators

POT : Python Optimal Transport

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained …

A curated list of awesome NVIDIA Issac Gym frameworks, papers, software, and resources

A hyperparameter optimization framework

A standard framework for modelling Deep Learning Models for tabular data

Graph Neural Network Library for PyTorch

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Hackable and optimized Transformers building blocks, supporting a composable construction.