Stars
All Algorithms implemented in Python
A playbook for systematically maximizing the performance of deep learning models.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
An Adaptive and Extensible Platform for Cloud and Fog Robotics Using ROS 2
Multi-Joint dynamics with Contact. A general purpose physics simulator.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Universal Robot (UR5) Pick and Place Simulation in ROS-Gazebo with a USB Cam and Vacuum Grippers
A Python implementation of global optimization with gaussian processes.
A curated list of awesome NVIDIA Issac Gym frameworks, papers, software, and resources
A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning
The Arcade Learning Environment (ALE) -- a platform for AI research.
Classical equations and diagrams in machine learning
Simulator of vision-based tactile sensors.
PyTouch is a machine learning library for tactile touch sensing.
A differentiable PDE solving framework for machine learning
Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
Nimble: Physics Engine for Biomechanics and Deep Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
Differentiable simulation for system identification and visuomotor control
SPlisHSPlasH is an open-source library for the physically-based simulation of fluids.
Tiny Differentiable Simulator is a header-only C++ and CUDA physics library for reinforcement learning and robotics with zero dependencies.
Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code…
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
A library for scientific machine learning and physics-informed learning