gchal

gaitStability

LSTM for detecting risk-of-fall instances of human walking for mobile robot platforms

mpc.pytorch

A fast and differentiable model predictive control (MPC) solver for PyTorch.

tiago_grasp_plan

CHER

Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)

motion-planners

Python implementations of several robotic motion planners

mushroom

Python library for Reinforcement Learning experiments.

RLBench

A large-scale benchmark and learning environment.

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

stride_predictor_LSTM

LSTM prediction models necessary for establishing desired coupled human-robot navigation

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bingham-rotation-learning

A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.

CSrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

curious

Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning

deep_bingham

Code for "Deep Orientaton Uncertainty Learning based on a Bingham Loss" (ICLR2020)

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

differentiable-mpc

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

gchal.github.io

GNNPapers

Must-read papers on graph neural networks (GNN)

gym

A toolkit for developing and comparing reinforcement learning algorithms.

iGibson

Large Scale Virtualized Interactive Environments for Robot Learning

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

mopac

Model Predictive Actor-Critic Reinforcement Learning

orange

Orientation Attentive Robot Grasp Synthesis

pddlstream

PDDLStream: Integrating Symbolic Planners and Blackbox Samplers

pybullet_planning

A suite of utility functions to facilitate robotic planning related research on the pybullet physics simulation engine.

pytorch-dense-correspondence

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

ray

A system for parallel and distributed Python that unifies the ML ecosystem.

spinningup

An educational resource to help anyone learn deep reinforcement learning.