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

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

基于深度学习的驾驶员分心驾驶行为（疲劳+危险行为）预警系统使用YOLOv5+Deepsort实现驾驶员的危险驾驶行为的预警监测

A tool converting Waymo dataset format to Kitti dataset format.

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

Lidar Obstacle Detection

Dstl Satellite Imagery Feature Detection

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

DilatedNet in Keras for image segmentation

Debugging, monitoring and visualization for Python Machine Learning and Data Science

All-in-one Toolbox for Computer Vision Research.

TensorFlow2 Reinforcement Learning

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

simobility - light-weight mobility simulation framework. Best for quick prototyping

alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥

Reversi reinforcement learning by AlphaGo Zero methods.

🌏: Dungeon free resources (terrain & roguelike generation)

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

无人驾驶的资源列表中文版

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

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

Reinforcement learning environments with musculoskeletal models

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

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

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

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

The U-Net Segmentation plugin for Fiji (ImageJ)

Be Driven 🚘

Code for Java Deep Learning Cookbook

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

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

Framework and OpenAI Gym Environment for Autonomous Vehicle Development

Tensorflow implementation of generative adversarial imitation learning

Research platform for 3D object detection in PyTorch.

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

Perception toolkit for sim2real training and validation

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.

Webots Robot Simulator

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

Collections of model quantization algorithms

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

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.

Grid-GCN for Fast and Scalable Point Cloud Learning

Scenarios, tutorials and demos for Autonomous Driving

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

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

An awesome list of self-driving cars

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

AirSim ROS packages: modified ros wrapper for airsim, and some vslam related tools. (Mainly focused on Car SimMode)

Resurces for MRI images processing and deep learning in 3D

Deep Reinforcement Learning for de-novo Drug Design

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

Papers and Datasets about Point Cloud.

Sparse and structured neural attention mechanisms

An awesome list of self-driving cars