will222

will222

Geek Repo

Github PK Tool:Github PK Tool

will222's starred repositories

ai.deploy.box

A toolbox for deep learning model deployment using C++ YoloX | YoloV7 | YoloV8 | Gan | OCR | MobileVit | Scrfd | MobileSAM | StableDiffusion

Language:CLicense:MITStargazers:426Issues:0Issues:0

apollo

An open autonomous driving platform

Language:C++License:Apache-2.0Stargazers:24821Issues:0Issues:0

sicp-notes

My notes as a I go through the legendary 1986 SICP lectures given by Professors Sussman and Abelson.

Stargazers:41Issues:0Issues:0

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

Language:HTMLLicense:CC0-1.0Stargazers:107578Issues:0Issues:0

ndt_matching

ndt_matching

Language:C++Stargazers:5Issues:0Issues:0
Language:CudaStargazers:22Issues:0Issues:0

Lee-SLAM-source

SLAM 开发学习资源与经验分享

Stargazers:1615Issues:0Issues:0

CPlusPlusThings

C++那些事

Language:C++Stargazers:38311Issues:0Issues:0

VINS-Course

VINS-Mono code without Ceres or ROS

Language:C++Stargazers:854Issues:0Issues:0

stereo-calibration

:camera: :camera: Stereo camera calibration using OpenCV and C++

Language:C++Stargazers:607Issues:0Issues:0

SGDepth

[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance

Language:PythonLicense:MITStargazers:199Issues:0Issues:0

Machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!

Stargazers:7186Issues:0Issues:0

chinese-independent-blogs

中文独立博客列表

Language:JavaScriptLicense:MITStargazers:19751Issues:0Issues:0

chinese-independent-developer

👩🏿‍💻👨🏾‍💻👩🏼‍💻👨🏽‍💻👩🏻‍💻**独立开发者项目列表 -- 分享大家都在做什么

Stargazers:36465Issues:0Issues:0

Awesome

:computer: 🎉 An awesome & curated list of best applications and tools for Windows.

License:CC0-1.0Stargazers:28278Issues:0Issues:0

Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

Language:HTMLStargazers:31128Issues:0Issues:0

advanced-java

😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲:涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识

Language:JavaLicense:CC-BY-SA-4.0Stargazers:75275Issues:0Issues:0