zmonoid's repositories
OpenClubhouse
A third-part web application based on flask to play Clubhouse audio.
OpenClubhouse-Worker
A simple worker for OpenClubhouse to sync data.
pfrl
PFRL: a PyTorch-based deep reinforcement learning library
ray
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 library.
nips2015-action-conditional-video-prediction
Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games"
zeroshot-imitation
[ICLR 2018] TensorFlow code for zero-shot visual imitation by self-supervised exploration
rl-experiments
Keeping track of RL experiments
DeepRL-1
Modularized Implementation of Deep RL Algorithms in PyTorch
rlpyt
Reinforcement Learning in PyTorch
darts
Differentiable architecture search for convolutional and recurrent networks
spinningup
An educational resource to help anyone learn deep reinforcement learning.
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
pytorch-cifar-models
3.41% and 17.11% error on CIFAR-10 and CIFAR-100
cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
defensegan
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
pytorch-a3c
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
tnt
Simple tools for logging and visualizing, loading and training
deep-neuroevolution
Deep Neuroevolution
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch-a2c-ppo-acktr
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).
DPNs
Dual Path Networks
models
Models built with TensorFlow
python-patterns
A collection of design patterns/idioms in Python
Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems