2871 Open source projects that are alternatives of or similar to Awesome Carla

Open-source simulator for autonomous driving research.

Learning human driver models from NGSIM data with imitation learning.

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

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

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

PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

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

Self-Driving Car Simulator

Awesome GAN for Medical Imaging

Holistically-Nested Edge Detection

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Self-driving car simulator for the Duckietown universe

Differentiable Duckietown

The U-Net Segmentation plugin for Fiji (ImageJ)

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

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

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

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Webots Robot Simulator

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

GPU Javascript Library for Machine Learning

Repository to accompany RSS 2018 paper on dexterous hand manipulation

Simulation of self-driving vehicles in Unity. This is also an implementation of the Hybrid A* pathfinding algorithm which is useful if you are interested in pathfinding for vehicles.

Driving in CARLA using waypoint prediction and two-stage imitation learning

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

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

《深度学习与计算机视觉》配套代码

API to run VirtualHome, a Multi-Agent Household Simulator

Anomaly detection tutorial on univariate time series with an auto-encoder

Lidar Obstacle Detection

Be Driven 🚘

Code for Java Deep Learning Cookbook

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

capsule networks that achieves outstanding performance on the German traffic sign dataset

Collections of model quantization algorithms

Dstl Satellite Imagery Feature Detection

Research platform for 3D object detection in PyTorch.

Grid-GCN for Fast and Scalable Point Cloud Learning

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

Scenarios, tutorials and demos for Autonomous Driving

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

Tensorflow implementation of generative adversarial imitation learning

Papers and Datasets about Point Cloud.

API for the dataset proposed in "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

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

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

Sparse and structured neural attention mechanisms

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Deep Reinforcement Learning for de-novo Drug Design

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

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

An awesome list of self-driving cars

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

Perception toolkit for sim2real training and validation

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.