671 Open source projects that are alternatives of or similar to Deepgtav

Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

A reinforcement learning environment for self-driving cars in the browser.

The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning

A JavaScript deep learning and reinforcement learning library.

Solutions of Reinforcement Learning, An Introduction

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

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

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

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

A collection of machine learning examples and tutorials.

Convert sc2 environment to gym-atari and play some mini-games

Quiz & Assignment of Coursera

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

Deep Reinforcement Learning For Sequence to Sequence Models

A minimalist environment for decision-making in autonomous driving

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

Aim — a super-easy way to record, search and compare 1000s of ML training runs

Resources to learn more about Machine Learning and Artificial Intelligence

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

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Reinforcement learning environments with musculoskeletal models

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Deep Reinforcement Learning with pytorch & visdom

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

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

Trax — Deep Learning with Clear Code and Speed

Advanced Deep Learning with Keras, published by Packt

A protocol for real-time transfer and visualization of autonomy data

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

Stanford Code From Cars That Entered DARPA Grand Challenges

My experimentations with Reinforcement Learning in Pytorch

Open-source simulator for autonomous driving research.

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Gibson Environments: Real-World Perception for Embodied Agents

This repository features game simulations as machine learning environments to experiment with deep learning approaches such as deep reinforcement learning inside of Unity.

My Reading Lists of Deep Learning and Natural Language Processing

Scalable, event-driven, deep-learning-friendly backtesting library

Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

Implementation of Scheduled Policy Optimization for task-oriented language grouding

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

基于BP神经网络的自动驾驶模型车。包含收集数据、控制模型生成与在线/离线自动运行所需的程序。

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Computational framework for reinforcement learning in traffic control

Implement AlphaZero/AlphaGo Zero methods on Chinese chess.

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

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

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

基于树莓派的自动驾驶小车，利用树莓派和tensorflow实现小车在赛道的自动驾驶。（Self-driving car based on raspberry pi（tensorflow））

Reversi reinforcement learning by AlphaGo Zero methods.