A third-part web application based on flask to play Clubhouse audio.

A simple worker for OpenClubhouse to sync data.

PFRL: a PyTorch-based deep reinforcement learning library

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning libr…

Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games"

[ICLR 2018] TensorFlow code for zero-shot visual imitation by self-supervised exploration

Keeping track of RL experiments

Modularized Implementation of Deep RL Algorithms in PyTorch

Reinforcement Learning in PyTorch

Differentiable architecture search for convolutional and recurrent networks

An educational resource to help anyone learn deep reinforcement learning.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

3.41% and 17.11% error on CIFAR-10 and CIFAR-100

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Simple tools for logging and visualizing, loading and training

Deep Neuroevolution

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

Tensors and Dynamic neural networks in Python with strong GPU acceleration

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (A…

Dual Path Networks

Models built with TensorFlow

A collection of design patterns/idioms in Python

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems