Pytorch implementation of Wasserstein GANs with Gradient Penalty

PyTorch implementations of Generative Adversarial Networks.

Numpy group_by and set-operations

[ICLR2021, Oral] Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency

Profiling and inspecting memory in pytorch

Codebase for project about unsupervised skill learning via variational inference and causality.

a python3 binding for orocos-kdl

Code release for Hu et al. Learning to Reason: End-to-End Module Networks for Visual Question Answering. in ICCV, 2017

Python bindings to the pointcloud library (pcl)

Python bindings to the pointcloud library (pcl)

PCL pcd fileformat i/o in Python

Tensorflow Faster RCNN for Object Detection

Codebase for implementing Dynamical Movement Primitives.

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

A collection of various command (one)liners and some useful ingredients to shell scripts

A list of papers and resources dedicated to deep reinforcement learning

Markov Decision Process (MDP) Toolbox for Python

Code for anticipating human activities (http://pr.cs.cornell.edu/anticipation/)

General purpose framework for deep reinforcement learning

Julia interface to ROS (Robot Operating System)

Collision avoidance algorithm for small UAS