dedemii

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

reinforcement-learning-kdd

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

models

Models and examples built with TensorFlow

oracle_cb

Experimentation for oracle based contextual bandit algorithms.

Deep-Reinforcement-Learning-Hands-On

Hands-on Deep Reinforcement Learning, published by Packt

Simulator

Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning

gym-inventory

An OpenAI Gym environment for Inventory Control problems

pytorch_structure2vec

pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)

graphnn

Training computational graph on top of structured data (string, graph, etc)

graph_comb_opt

Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"

keras-rl

Deep Reinforcement Learning for Keras.

tensorflow-deepq

A deep Q learning demonstration using Google Tensorflow

awesome-rl

Reinforcement learning resources curated

deep-rl-bootcamp

Deep RL Bootcamp solutions

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

bandit-nmt

Bandit

Bandit algorithms

BanditLib

Library of contextual bandits algorithms

striatum

Contextual bandit in python

Kaggle-Ensemble-Guide

Code for the Kaggle Ensembling Guide Article on MLWave

GPflow

Gaussian processes in TensorFlow

planetoid

Semi-supervised learning with graph embeddings

GPIS

Work on Gaussian Process Implicit Surfaces

largeVis

An implementation of the largeVis algorithm for visualizing large, high-dimensional datasets, for R

node2vec

node2vec

Node2vec with tensorflow

Stacking