Shaojun Zhu's Projects
:alarm_clock: AI conference deadline countdowns
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Automatically exported from code.google.com/p/deep-learning-faces
Deep Residual Learning for Image Recognition
MIT Deep Learning Book in PDF format
Torch installation in a self-contained folder
The DeepMind Control Suite and Control Package
Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Fast R-CNN
Packages for common geometric calculations including the ROS transform library, "tf". Also includes ROS bindings for "bullet" physics engine and "kdl" kinematics/dynamics package.
Gaussian processes framework in python
Gaussian Process Optimization using GPy
Implementation is mostly based on Sergey Levine work (http://www.eecs.berkeley.edu/~svlevine/).
This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement learning, etc.)
Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning
Automatically exported from code.google.com/p/image-txt-multimodal
MatConvNet: CNNs for MATLAB
Handout for the tutorial "Creating publication-quality figures with matplotlib"
Models built with TensorFlow
Automatically exported from code.google.com/p/morethantechnical
Data generation for the Naive Physics project using Unreal Engine
Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games"
pazel - generate Bazel BUILD files for Python