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coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

cule

CuLE: A CUDA port of the Atari Learning Environment (ALE)

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

detectron

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

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

glove

GloVe model for distributed word representation

hierarchical-lstm-release

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

minimalrl

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

models

Models and examples built with TensorFlow

neurips2020-procgen-starter-kit

Starter Kit for NeurIPS 2020 - Procgen Competition on AIcrowd

npfl117

Deep Learning Seminar -- ÚFAL course NPFL117

paper_notes

This will contain my notes for research papers that I read.

practical_rl

A course in reinforcement learning in the wild

pytorch-a3c

Simple A3C implementation with pytorch + multiprocessing

pytorch-rl

Pytorch implementation of popular deep reinforcement learning algorithms towards SOA performance.

pytorch-vgg-cifar10

This is the PyTorch implementation of VGG network trained on CIFAR10 dataset

pytorch_gan_zoo

A mix of GAN implementations including progressive growing

rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

sonic_contest

Source code for OpenAI Retro Contest for Sonic the Hedgehog

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

stable-baselines3

PyTorch version of Stable Baselines, improved implementations of reinforcement learning algorithms.

tf-tutorials

A collection of deep learning tutorials using Tensorflow and Python

traffic_prediction

Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).