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pinocchio

A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives

pointflow

PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

points2surf

Learning Implicit Surfaces from Point Clouds (ECCV 2020)

predicting-physical-dynamics

Code for "Predicting the Physical Dynamics of Unseen 3D Objects" presented at WACV 2020.

prnet

prnet

probabilistic_shape_completion

Code for Probabilistic Shape Completion

public

pybullet-object-models

Collection of object models compatible with pybullet simulator https://github.com/bulletphysics/bullet3/tree/master/examples/pybullet

pybullet_ur5_robotiq

Gym-Styled UR5 arm with Robotiq-85 / 140 gripper in Bullet simulator

python-fcl

Python binding of FCL library

pythonlinearnonlinearcontrol

PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.

pytorch-dense-correspondence

Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"

pytorch-nec

PyTorch Implementation of Neural Episodic Control (NEC)

pytorch-pcgrad

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

pytorch-quaternion-neural-networks

This repository is an update to all previous repositories with implementations of various Quaternion-valued Neural Networks in PyTorch

pytorch-superpoint

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

pytorch_6dof-graspnet

pytorch_flows

Implementation and tutorials of normalizing flows with the novel distributions module

qmap

Q-map: a Convolutional Approach for Goal-Oriented Reinforcement Learning

quasistatic_simulator_cpp

quaternet

Proposes neural networks that can generate animation of virtual characters for different actions.

rai-python

Python bindings to rai. Simple interface to work with robot/world configurations, compute features and their Jacobians, inverse kinematics, path optimization.

ravens

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

react-schedule-selector

A mobile-friendly when2meet-style grid-based schedule selector

realsense_docker

Multi-camera realsense camera streaming in C++ with docker

relie

Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups

reorientbot

ReorientBot: Learning Object Reorientation for Specific-Posed Placement, ICRA 2022

rlkit

Collection of reinforcement learning algorithms