zmonoid's repositories
spinningup
An educational resource to help anyone learn deep reinforcement learning.
cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
darts
Differentiable architecture search for convolutional and recurrent networks
Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
deep-neuroevolution
Deep Neuroevolution
DeepRL-1
Modularized Implementation of Deep RL Algorithms in PyTorch
defensegan
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
DPNs
Dual Path Networks
models
Models built with TensorFlow
nips2015-action-conditional-video-prediction
Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games"
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
python-patterns
A collection of design patterns/idioms in Python
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).
pytorch-a3c
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
pytorch-cifar-models
3.41% and 17.11% error on CIFAR-10 and CIFAR-100
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.
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
rl-experiments
Keeping track of RL experiments
rlpyt
Reinforcement Learning in PyTorch
tnt
Simple tools for logging and visualizing, loading and training
zeroshot-imitation
[ICLR 2018] TensorFlow code for zero-shot visual imitation by self-supervised exploration