1162 Open source projects that are alternatives of or similar to Rl Baselines Zoo

Maze Applied Reinforcement Learning Framework

EvalML is an AutoML library written in python.

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

Solving OpenAI Gym problems.

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

ROS 2 enabled Machine Learning algorithms

An OpenAI Gym Env for Panda

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

Structural implementation of RL key algorithms

Hearthstone simulator using C++ with some reinforcement learning

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.

HoME: a Household Multimodal Environment is a platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

A fully decentralized hyperparameter optimization framework

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

Determined: Deep Learning Training Platform

Toolbox for Bayesian Optimization and Model-Based Optimization in R

Repo for the Deep Reinforcement Learning Nanodegree program

Purely functional genetic algorithms for multi-objective optimisation

Python code for bayesian optimization using Gaussian processes

Library for Semi-Automated Data Science

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

Black box hyperparameter optimization made easy.

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

Self-driving car simulator for the Duckietown universe

A curated list of Monte Carlo tree search papers with implementations.

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

The Operator Splitting QP Solver

Obstacle Tower Environment

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

BabyAI platform. A testbed for training agents to understand and execute language commands.

Automated image Editing, Optimization and Analysis via CLI and a web interface. You give to lepto your input and output directories, the plugins you want to use and their options. Then lepto does his job, you keep your original files and the structure of the input directory. Some plugins can even collect data (like primary colors) from your images and save them in a JSON file.

A polyhedral compiler for expressing fast and portable data parallel algorithms

Open Machine Learning course at MIPT

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

Deep Reinforcement Learning For Sequence to Sequence Models

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Optimization functions for Julia

Implementations of Reinforcement Learning Models in Tensorflow

A course in reinforcement learning in the wild

React.js server-side rendering optimization with component memoization and templatization

A minimalist environment for decision-making in autonomous driving

Project moved to: https://github.com/llvm/llvm-project

[DEPRECATED] Google Closure Compiler plugin for Webpack

Gibson Environments: Real-World Perception for Embodied Agents

A JavaScript deep learning and reinforcement learning library.

backtrader with DRL ( Deep Reinforcement Learning)

PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

Python library to easily log experiments and parallelize hyperparameter search for neural networks

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

A database of extended cleaning routines for popular Windows PC based maintenance software.

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

A Configurable Recommender Systems Simulation Platform