1526 Open source projects that are alternatives of or similar to Rl Baselines3 Zoo

4号機（KIT-C4）用リポジトリ

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

DirectX9 to DirectX12 API proxy for Guild Wars 2

My Solution to Assignments of CS234

mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...

OpenAI's cartpole env solver.

Tic Tac Toe Machine Learning

A build-it-yourself, 6-wheel rover based on the rovers on Mars!

Thoughts on Go performance optimization

NoPlan is the Planner of Very Small Size soccer competition

Code for the ACL paper "No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling"

golang labs

SIMD for humans

ICCV2019 - A painting AI that can reproduce paintings stroke by stroke using 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.

Simultaneous Visual Odometry, Object Detection, and Instance Segmentation

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

Unity Machine Learning Agents Toolkit

Distributed, Online, and Outlier Resilient SLAM for Robotic Teams

Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)

Docker/Qemu Based Linux Kernel Learning, Development and Testing Environment; New Linux ELF Video Course from this project author: https://www.cctalk.com/m/group/88089283

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Resources to learn more about Machine Learning and Artificial Intelligence

Simple tools for logging and visualizing, loading and training

Reinforcement learning environments with musculoskeletal models

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Deep Reinforcement Learning with pytorch & visdom

PSD (Photoshop Document) & PSB (Photoshop Big) Plugin for Qt/C++ (Qt4/Qt5)

Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.

🌅 next-optimized-images automatically optimizes images used in next.js projects (jpeg, png, svg, webp and gif).

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

PyBullet Planning

SU2: An Open-Source Suite for Multiphysics Simulation and Design

DeepArchitect: Automatically Designing and Training Deep Architectures

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Some JavaScript works published as demos, mostly ML or DS

🌅🚀 Automatically optimizes images used in Nuxt.js projects (JPEG, PNG, SVG, WebP and GIF).

Fast and scalable design of risk parity portfolios

A CSS Optimizer

Robot Vulnerability Database. An archive of robot vulnerabilities and bugs.

A collection of machine learning examples and tutorials.

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

A JavaScript checker and optimizer.

Miniboxing is a program transformation that improves the performance of Scala generics when used with primitive types. It can speed up generic collections by factors between 1.5x and 22x, while maintaining bytecode duplication to a minimum. You can easily add miniboxing to your sbt project:

ROS package for Anki Vector home robot

Hands on labs and code to help you learn, measure, and build using architectural best practices.

🃏 OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning

Gather statistics about physical disk access and CPU consumption done by backends.

Collection of reinforcement learners implemented in python. Mainly including DQN and its variants

provides a modeling interface for mixed complementarity problems (MCP) and math programs with equilibrium problems (MPEC) via JuMP

Quantitative systematic trading strategy development and backtesting in Julia

An open-source parallel optimization solver for structured mixed-integer programming

Packages for image recognition - Robocup TU/e Robotics

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

A curated list of awesome open source electronic resources for robotics

Implementation of q-learning using TensorFlow