rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Cython-based wrapper for OpenNI2
LfD: Learning from Demonstrations for Robotic Manipulation
Python bindings for ceres-solver (via Cython)
Point cloud utility library for Python implemented with Cython
Chessboard detector for python
Various ROS utility functions and libraries
Python bindings for libgphoto2
Visual feedback stack for the Berkeley PR2
client side for the comment service as a ruby gem
Various demos from the Berkeley RLL
An open-source simulator for surgical tools.
pipeline for testing point cloud based object detection algorithms