Stable Diffusion built-in to Blender

Deep reinforcement learning library built on top of Neural Network Libraries

Model-Based Visual Planning with Self-Supervised Functional Distances (ICLR 2021)

Gaussian processes in TensorFlow

Fast Flexible Replay Buffer Library (Mirror repository of https://gitlab.com/ymd_h/cpprb)

Docker for utilize azure kinect and body track on ros

An out-of-the-box GUI tool for offline deep reinforcement learning

An offline deep reinforcement learning library

Code for paper Causal Confusion in Imitation Learning

A Simulation Environment to train Robots in Large Realistic Interactive Scenes

Samples for Project Tiny

Common used path planning algorithms with animations.

PFRL: a PyTorch-based deep reinforcement learning library

Implementation of TRPO and related algorithms

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Neural Network Libraries

Supplementary components to accelerate research and development in PyTorch

Neural Network Libraries https://nnabla.org/ - Examples

Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization

Code accompanying the paper "Learning Agile Robotic Locomotion Skills by Imitating Animals"

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

Learning Latent Dynamics for Planning from Pixels

Minima is a one-size-fits-all Jekyll theme for writers.

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …

Model-based design and verification for robotics.

A collection of reference environments for offline reinforcement learning

Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games