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reinforcement-learning-1

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-notebooks

A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.

replicating-deepmind

Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind

retro

Retro Games in Gym

rex-gym

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

rl-tutorial

Reinforcement learning tutorial

rl-tutorials

Code examples that illustrate simple Reinforcement Learning algorithms

rlpyt

Reinforcement Learning in PyTorch

rlseq2seq

Deep Reinforcement Learning For Sequence to Sequence Models

rnn-speech-denoising

Recurrent neural network training for noise reduction in robust automatic speech recognition

rnn-tutorial-gru-lstm

Language Model GRU with Python and Theano

rnn_zoo

This repository tests various recurrent neural network architectures on baseline datasets SeqMNIST and pMNIST.

robust_physical_perturbations

Public release of code for Robust Physical-World Attacks on Deep Learning Visual Classification (Eykholt et al., CVPR 2018)

rpg_esim

ESIM: an Open Event Camera Simulator

rpg_image_reconstruction_from_events

san

Exploring Self-attention for Image Recognition, CVPR2020.

sc2ai

星际2 AI中文教程 StarCraft2 AI with python-sc2/pysc2 API

scikit-learn

scikit-learn: machine learning in Python

self-attention-gan

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

self-driving-car

The Udacity open source self-driving car project

sgm

Sequence Generation Model for Multi-label Classification (COLING 2018)

skorch

A scikit-learn compatible neural network library that wraps pytorch

smop

Small Matlab to Python compiler

snn-rl

Reinforcement Learning for Spiking Neural Networks

snn4hrl

Stochastic Neural Networks for Hierarchical Reinforcement Learning

snn_toolbox

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

spectral_normalization-tensorflow

Simple Tensorflow Implementation of "Spectral Normalization for Generative Adversarial Networks" (ICLR 2018)

speech_separation

Include some core functions and model to handle speech separation

spiketorch

Experiments with spiking neural networks (SNNs) in PyTorch.