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access-mars

acme

A library of reinforcement learning components and agents

alphanpi

Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.

alphazero_gomoku

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

annotated_latex_equations

Examples of how to create colorful, annotated equations in Latex using Tikz.

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

atari-rl

Atari - Deep Reinforcement Learning algorithms in TensorFlow

baby-a3c

A high-performance Atari A3C agent in 180 lines of PyTorch

baselines-rudder

RUDDER for ATARI games with delayed rewards in OpenAI Baselines package

batch_rl

Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games

bayesian-neural-network-mnist

Bayesian neural network using Pyro and PyTorch on MNIST dataset

box-convolutions

PyTorch code for the "Deep Neural Networks with Box Convolutions" paper

bsuite

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

catalyst

Reproducible and fast DL/RL.

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

chinese-poetry

最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。

coinrun

Code for the paper "Quantifying Transfer in Reinforcement Learning"

convolution_lstm_pytorch

Multi-layer convolution LSTM with Pytorch

cppcoreguidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

crafter

Open world survival environment for reinforcement learning

curl_rainbow

dash-svm

Interactive SVM Explorer, using Dash and scikit-learn

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dist_tuto.pth

PyTorch Distributed Tutorial

dl-imperial-maths

Code and assignment repository for the Imperial College Mathematics department Deep Learning course