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hello-world

just a test

irl-imitation

Implementations of model-based Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

irl-toolkit

IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)

keras-rl

Deep Reinforcement Learning for Keras.

lab

A customisable 3D platform for agent-based AI research

metapruning

models

Models built with TensorFlow

modular_rl

Implementation of TRPO and related algorithms

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

nas-bench-201

NAS-Bench-201 API and Instruction

noreward-rl

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

pysc2

StarCraft II Learning Environment

pysc2-rl

pyvision

obsolete python computer vision toolkit.

reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

reinforcement-learning-car

Using reinforcement learning to teach a car to avoid obstacles.

rllab

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

sc2

single-darts

stanford-tensorflow-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

tensorflow-mnist-cvae

Tensorflow implementation of conditional variational auto-encoder for MNIST

test

theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

thinet

caffe model of ICCV'17 paper - ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression https://arxiv.org/abs/1707.06342

tinygbt

A Tiny, Pure Python implementation of Gradient Boosted Trees.

toycarirl

Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)

video_prediction

Stochastic Adversarial Video Prediction

vin

Value Iteration Networks

zoopt

A python package of Zeroth-Order Optimization (ZOOpt)