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

Reinforcement learning framework to accelerate research

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

PyTorch implementation of Soft Actor-Critic (SAC)

Train an RL agent to localize actively (PyTorch)

A learning environment for man-made Interactive Fiction games.

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

Autonomous Racing Car using NVIDIA Jetson TX2 using end-to-end driving approach. Paper: https://arxiv.org/abs/1604.07316

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

Discrete-Event Simulation for R

Summaries of the papers that are discussed by VLG.

ns-3 module for simulating mmWave-based cellular systems. See https://ieeexplore.ieee.org/document/8344116/ (open access) as a reference.

Julia implementation of various rigid body dynamics and kinematics algorithms

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

PyTorch Implementation of REINFORCE for both discrete & continuous control

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

Sokoban environment for OpenAI Gym

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.

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

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

A Top Down 2D Car Simulator For Unity

Schematic capture and circuit simulator

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).

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

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

Must-read papers on knowledge graph reasoning

Network Diffusion Library - (for NetworkX and iGraph)

POMDPs in Python.

A high-performance distributed training framework for Reinforcement Learning

Classic papers and resources on recommendation

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

Python sample codes for robotics algorithms.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

MacOS 10.15 / 11.0 application to spoof your iOS / iPadOS or iPhoneSimulator device location. WatchOS and TvOS are partially supported.

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

ProMP: Proximal Meta-Policy Search

G+Smo (pronounced gismo or gizmo) is a C++ library for isogeometric analysis (IGA). Geometry plus simulation modules aims at the seamless integration of Computer-aided Design (CAD) and Finite Element Analysis (FEA).

Code for Java Deep Learning Cookbook

The Retro Learning Environment (RLE) -- a learning framework for AI

A structured implementation of MuZero

Game-like agent based economy simulator

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

An experiment with SIR

Object detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS

SenseAct: A computational framework for developing real-world robot learning tasks

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

This is Andrew NG Coursera Handwritten Notes.

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

10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

GridCal, a cross-platform power systems solver written in Python with user interface and embedded python console

A simple framework for experimenting with Reinforcement Learning in Python.

GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.

pyiron - an integrated development environment (IDE) for computational materials science.

Tensorflow implementation of generative adversarial imitation learning

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

Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)

2D physics header-only library for videogames developed in C using raylib library.

Implementation for the Neural Logic Machines (NLM).

☕️🏗⛅️🎓 A modern, full-featured, easier-to-use, highly extensible, faster and more accurate Java 8+ Framework for Cloud Computing Simulation

Assistive Gym, a physics-based simulation framework for physical human-robot interaction and robotic assistance.

Abstractions, algorithms, and utilities for reinforcement learning in Julia