Stars
Code for AI panel at Anime Weekend Atlanta 2022
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…
A package for computing hybrid force-velocity control actions to execute a contact-rich motion plan robustly.
A ROS/Python API for controlling and managing the Franka Emika Panda robot. Contains exposed controllers for the robot (joint position, velocity, torque), interfaces for the gripper, controller man…
Motion planning environment for Sampling-based Planners
Model-based design and verification for robotics.
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
Combined Learning from Demonstration and Motion Planning
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Online repo for deep reinforcement learning (A3C) on generals.io
PyTorch implementation of Neural Processes
C++ library for simulating and running Cozmo based on DART and AIKIDO
Python framework for imitation learning
Python sample codes and textbook for robotics algorithms.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Javascript middleware that allows a slack user to chat in Groupme groups
My solutions to Kevin Murphy Machine Learning Book
YOLO ROS: Real-Time Object Detection for ROS
Docker Continuous Integration Framework - A framework for easily testing your project with Docker! 🐳