1021 Open source projects that are alternatives of or similar to Autodrome

Unity Machine Learning Agents Toolkit

Tool suite for kappa models. Documentation and binaries can be found in the release section. Try it online at

Julia implementation of various rigid body dynamics and kinematics algorithms

Tools for using computer algebra systems to solve math problems step-by-step with reinforcement learning

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

Dan Koschier, Jan Bender, Barbara Solenthaler, Matthias Teschner, "Smoothed Particle Hydrodynamics for Physically-Based Simulation of Fluids and Solids", Eurographics Tutorial, 2019

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Reinforcement learning material, code and exercises for Udacity Nanodegree programs.

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

Ab initio simulator for thermal transport and lattice anharmonicity

PyTorch Implementation of REINFORCE for both discrete & continuous control

Autonomous Navigation of UAV using Reinforcement Learning algorithms.

Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices

A simple, cross-platform GUI automation module for Rust.

A tribute to Mad TV. Written in BlitzMax, Lua and a bit of C.

Be Driven 🚘

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

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

Sokoban environment for OpenAI Gym

Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.

Fantasy Worlds Procedurally Generated

Unknown Horizons official code repository

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

PyTorch implementation of Looking Fast and Slow: Memory-Guided Mobile Video Object Detection

A comprehensive autonomous decentralized systems framework for AI control architects.

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉

A power network simulator with a Reinforcement Learning-focused usage.

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

😎 A curated list of robotics libraries and software

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

Ethereum end-to-end test harness

Atomistic Spin Simulation Framework

A Top Down 2D Car Simulator For Unity

Ros package for basic autonomous lane tracking and object detection

A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.

Schematic capture and circuit simulator

Connecting Torch to StarCraft

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

Mars Simulation Project Official Codebase

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

UWSim-NET, the Underwater Simulator

Schematics for DLS - The Digital Logic Simulator game http://makingartstudios.itch.io/dls

tensorflow deep RL for driving a rover around

🎇 A modern particle engine running on GPU, using c++14 and OpenGL 4.4.

Integrated ROS capabilities for planning, predicate inference, gripper control, and perception for use with the KUKA LBR IIWA and Universal Robots.

Teach a Quadcopter How to Fly!

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning

Implementations of deep RL papers and random experimentation

A PyTorch implementation of Rainbow DQN agent

A 𝒔𝒕𝒆𝒍𝒍𝒂𝒓 simulated 8-bit computer architecture

Initiative to read research papers

A polyvalent C++ FEM library

This project has moved to https://git.dynare.org/Dynare/dynare

This is a repo for my master thesis research about the Fusion of Visual SLAM and GPS. It contains the research paper, code and other interesting data.

Chess reinforcement learning by AlphaGo Zero methods.

SeqGAN tensorflow implementation