jelennal's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
keras-team/keras
Deep Learning for humans
google-research/bert
TensorFlow code and pre-trained models for BERT
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
google-deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
soumith/ganhacks
starter from "How to Train a GAN?" at NIPS2016
openai/spinningup
An educational resource to help anyone learn deep reinforcement learning.
pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
openai/universe
Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.
HIPS/autograd
Efficiently computes derivatives of NumPy code.
cleverhans-lab/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
blei-lab/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
IDSIA/sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
google-deepmind/open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
google-deepmind/dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
devsisters/DQN-tensorflow
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
astooke/rlpyt
Reinforcement Learning in PyTorch
Farama-Foundation/Minigrid
Simple and easily configurable grid world environments for reinforcement learning
Kaixhin/Rainbow
Rainbow: Combining Improvements in Deep Reinforcement Learning
microsoft/TextWorld
​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
openai/universe-starter-agent
A starter agent that can solve a number of universe environments.
mila-iqia/babyai
BabyAI platform. A testbed for training agents to understand and execute language commands.
google-deepmind/pycolab
A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning agents!
victorcampos7/edl
Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"