collector-m Goto Github PK

autoware.universe

autoware_launch

autoware_matlab_simulink

autoware_perception

autoware_perception-1

autoware_ros

autoware 源码注释解析，会进行一些顺手的代码修改

autoware_tutorial

autoware_web

autowarearchitectureproposal

This is the source code of the feasibility study for Autoware architecture proposal.

av2-api

The official GitHub repository for the Argoverse 2 dataset.

avdata

Autonomous Vehicle Seasonal Dataset

avm_dataset

Public Dataset of AVM (Around View Monitoring) System for Auto Parking

avod

Code for 3D object detection for autonomous driving

avod-ssd

Code for 3D single stage object detection for autonomous driving

avs-device-sdk

An SDK for commercial device makers to integrate Alexa directly into connected products.

awesome-3d-detectors

Paperlist of awesome 3D detection methods

awesome-3d-object-detection

Awesome 3d object detection paper, code and note

awesome-3d-object-detection-for-autonomous-driving

Papers on 3D Object Detection for Autonomous Driving

awesome-active-learning

A curated list of awesome Active Learning

awesome-ai-residency

List of AI Residency Programs

awesome-artificial-intelligence

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

awesome-autonomous-driving

awesome-autonomous-vehicles

Curated List of Self-Driving Cars and Autonomous Vehicles Resources

awesome-autopilot-algorithm

some algorithm about self-driving car，mainly including perception algorithm，2D/3D object detection，Semantic segmentation and so on

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-contrastive-self-supervised-learning

A comprehensive list of awesome contrastive self-supervised learning papers.

awesome-cpp-cn

C++ 资源大全中文版，标准库、Web应用框架、人工智能、数据库、图片处理、机器学习、日志、代码分析等

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deep-rl

This project is for learning and researching on DRL. This area is so hot that everyday we can see new ideas happen. I would like to give an explicit landscape for deep rl, one reason is for better understanding existed methods and theoretical results, the other is to seek potential developments based on these findings. Any suggestion/improvement is welcomed.