zencoding

deep-reinforcement-learning-family

for learning and researching on DRL

AI-blog

Accompanying repository for Let's make a DQN / A3C series.

ai_examples

AI examples with TensorFlow, Keras

autoencoder

Text autoencoder with LSTMs

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

basic_reinforcement_learning

An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

context2vec

Deep-Reinforcement-Learning-Survey

My Exploration on Deep Reinforcement Learning Survey

DeepRL

Combining deep learning and reinforcement learning.

DeepRL-Agents

A set of implementations of Deep Reinforcement Learning Agents using Tensorflow.

detection-2016-nipsws

Hierarchical Object Detection with Deep Reinforcement Learning

dex

Continual Learning Toolkit for Reinforcement Learning

diracnets

Training Very Deep Neural Networks Without Skip-Connections

dissecting-reinforcement-learning

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

GA3C

Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.

is_that_a_duplicate_quora_question

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

keras-quora-question-pairs

A Keras model that addresses the Quora Question Pairs dyadic prediction task.

modular_rl

Implementation of TRPO and related algorithms

papers

Summaries of machine learning papers

pcl_keras

reinforcement learning. policy gradient. PCL

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-1

Minimal and Clean Reinforcement Learning Examples

relaax

Reinforcement Learning framework to facilitate development and use of scalable RL algorithms and applications

relation-network

keras implementation of [A simple neural network module for relational reasoning](https://arxiv.org/pdf/1706.01427.pdf)

relational-networks

Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)

Sentiment-Analysis-in-Event-Driven-Stock-Price-Movement-Prediction

Use NLP to predict stock price movement associated with news

SimGAN

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

tensorlayer

TensorLayer: Deep Learning and Reinforcement Learning Library for TensorFlow.

variational-autoencoder-1

generate MNIST using a Variational Autoencoder