An interactive tool to explore low dimensional embeddings of omics data.

Vitessce is a visual integration tool for exploration of spatial single-cell experiments.

A benchmark for offline goal-conditioned RL and offline RL

A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities

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

Utilities for notebooks built around BBRL

Clean single-file implementation of offline RL algorithms in JAX

Unified Implementations of Offline Reinforcement Learning Algorithms

Jiminy: a fast and portable Python/C++ simulator of poly-articulated robots with OpenAI Gym interface for reinforcement learning

Track your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation ana…

[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

A versatile and efficient C++ library for real-time constrained trajectory optimization

Open-source wheeled biped robots

SBX: Stable Baselines Jax (SB3 + Jax) RL algorithms

A tool for recording RL trajectories.

A library of reinforcement learning components and agents

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

♟️ Vectorized RL game environments in JAX

RL Environments in JAX 🌍

An offline deep reinforcement learning library

Official PyTorch implementation of the paper "TMR: Text-to-Motion Retrieval Using Contrastive 3D Human Motion Synthesis" ICCV 2023

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

Quadratic programming solvers in Python with a unified API

Humanoid robotics prototyping environment based on OpenRAVE

Balzax is an open source Python library for developing simple, vectorized and fast reinforcement learning environments thanks to JAX. It provides an API and already implemented game environments to…

Accelerated Quality-Diversity

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

Uniform Manifold Approximation and Projection

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Single-cell analysis in Python. Scales to >100M cells.