healthysong's starred repositories
awesome-knowledge-driven-AD
A curated list of awesome knowledge-driven autonomous driving (continually updated)
End-to-end-Autonomous-Driving
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
LangChain-ChatGLM-Webui
基于LangChain和ChatGLM-6B等系列LLM的针对本地知识库的自动问答
so-vits-svc
SoftVC VITS Singing Voice Conversion
DriveLikeAHuman
Drive Like a Human: Rethinking Autonomous Driving with Large Language Models
Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
Aware-of-the-history
Official PyTorch code for our ECCV'22 paper Collaborative Uncertainty in Multi-Agent Trajectory Forecasting.
AutonomousDrivingCookbook
Scenarios, tutorials and demos for Autonomous Driving
trajectory_forcasting
A method for time series forecasting using a deep conditional generative model based in variational auto-encoders
GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。
fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
DeepMapping
[CVPR2019 Oral] Self-supervised Point Cloud Map Estimation
awesome-point-cloud-analysis
A list of papers and datasets about point cloud analysis (processing)
albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
programming_guidelines
This repository contains style-guides, discussions, eclipse/emacs auto-formatter for commonly used programming languages
awesome-courses
:books: List of awesome university courses for learning Computer Science!
awesome-programming-books
📚 经典技术书籍推荐，持续更新...
awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
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。由「开源前哨」和「CPP开发者」微信公号团队维护更新。
Lidar_For_AD_references
A list of references on lidar point cloud processing for autonomous driving