1078 Open source projects that are alternatives of or similar to Amazing Machine Learning Opensource 2019

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Seoul AI Gym is a toolkit for developing AI algorithms.

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Reinforcement Learning Cheat Sheet

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

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

Artificial intelligence for the Snake game.

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

AI research environment for the Atari 2600 games 🤖.

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

A Configurable Recommender Systems Simulation Platform

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.

Resources to learn more about Machine Learning and Artificial Intelligence

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Essential Guide to keep up with AI/ML/DL/CV

StarCraft environment for OpenAI Gym, based on Facebook's TorchCraft. (In progress)

Carefully curated resource links for data science in one place

A selection of state-of-the-art research materials on decision making and motion planning.

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

Code for Java Deep Learning Cookbook

A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Awesome free machine learning and AI courses with video lectures.

Grokking Deep Reinforcement Learning

Multiple implementations for abstractive text summurization , using google colab

Mastering Atari with Discrete World Models

Arnold - DOOM Agent

Deep Reinforcement Learning Framework + Algorithms

A C++ framework for MDPs and POMDPs with Python bindings

和（he for objective-c） —— “信息熵减机系统”

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

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

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

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Cornell Instruction Following Framework

Efficient Batched Reinforcement Learning in TensorFlow

Dream to Control: Learning Behaviors by Latent Imagination

Our NIPS 2017: Learning to Run source code

Some notebooks

Some of the ML and DL related reading materials, research papers that I've read

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

60_Days_RL_Challenge中文版

AI各领域学习资料整理。（A collection of all skills and knowledges should be got command of to obtain an AI relevant job offer. There are online blogs, my personal blogs, electronic books copy.）

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Flappy Bird AI using Evolution Strategies

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

Reinforcement learning framework to accelerate research

Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

List of summer schools in machine learning + related fields across the globe

Python Implementation of Reinforcement Learning: An Introduction

Testbed for deep reinforcement learning

An End-To-End, Lightweight and Flexible Platform for Game Research