Visualize streams of multimodal data. Free, fast, easy to use, and simple to integrate. Built in Rust.

A generative world for general-purpose robotics & embodied AI learning.

Manipulation Engine

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

PIMesh: Video-based in-bed human shape estimation from Pressure Images

Multi-Joint dynamics with Contact. A general purpose physics simulator.

Instructions to run basic functions of a Stretch RE1 robot.

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A Python implementation of the TouchSim model to simulate peripheral tactile responses.

SoftGym is a set of benchmark environments for deformable object manipulation.

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

RAD: Reinforcement Learning with Augmented Data

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

The SpectroVision dataset and associated code for the paper "Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture Imaging"

Code + Data for CVPR 2020 oral paper "Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data."

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

An Inverse Kinematics library aiming performance and modularity

A scikit-learn compatible neural network library that wraps PyTorch

A simplified framework and utilities for PyTorch

Train AI models efficiently on medical images using any framework

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

Assistive Gym, a physics-based simulation framework for physical human-robot interaction and robotic assistance.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

Implementations of some popular Saliency Maps in Keras

Code for the paper "Classification of Household Materials via Spectroscopy"

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promisi…

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch