GitHub项目精选(持续更新)
2024-09-06 07:13:56
*A collection of useful repositories.*
[GitHub地址](https://github.com/TommyMerlin/Repository-Collection)
[个人博客](https://tommymerlin.github.io/)
## 目录
- [机器学习](#机器学习)
- [Python](#Python)
- [中国大学课程资源](#中国大学课程资源)
- [C# DOTNET](#c-dotnet)
- [WPF](#WPF)
- [前端/博客](#前端博客)
- [资源汇总](#资源汇总)
- [CS相关](#cs相关)
- [AGV](#AGV)
- [有趣项目](#有趣项目)
---
### 机器学习
1. [apachecn / AiLearning](https://github.com/apachecn/AiLearning)
> AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP。
> 网站: <http://ailearning.apachecn.org>
2. [datawhalechina / pumpkin-book](https://github.com/datawhalechina/pumpkin-book)
> 《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
3. [scutan90 / DeepLearning-500-questions](https://github.com/scutan90/DeepLearning-500-questions)
> 深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述。
4. [zergtant / pytorch-handbook](https://github.com/zergtant/pytorch-handbook)
> pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行。
5. [fengdu78 / lihang-code](https://github.com/fengdu78/lihang-code)
> 《统计学习方法》的代码实现。
6. [MLEveryday / 100-Days-Of-ML-Code](https://github.com/MLEveryday/100-Days-Of-ML-Code)
> 100-Days-Of-ML-Code中文版。
7. [GokuMohandas / practicalAI](https://github.com/GokuMohandas/practicalAI)
> A practical approach to machine learning.
8. [roboticcam/machine-learning-notes](https://github.com/roboticcam/machine-learning-notes)
> 不间断更新机器学习，概率模型和深度学习的讲义(1000+页)和视频链接。
9. [afshinea / stanford-cs-229-machine-learning](https://github.com/afshinea/stanford-cs-229-machine-learning)
> VIP cheatsheets for Stanford's CS 229 Machine Learning.
> 网站: <https://stanford.edu/~shervine/teaching/cs-229>
10. [fengdu78 / deeplearning_ai_books](https://github.com/fengdu78/deeplearning_ai_books)
> deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）。
11. [fengdu78 / Coursera-ML-AndrewNg-Notes](https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes)
> 吴恩达老师的机器学习课程个人笔记。
12. [tensorflow / tensorflow](https://github.com/tensorflow/tensorflow)
> An Open Source Machine Learning Framework for Everyone.
13. [d2l-ai / d2l-zh](https://github.com/d2l-ai/d2l-zh)
> 《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论（STAT 157）”教材。
> 视频：https://space.bilibili.com/209599371/channel/detail?cid=23541
> PDF: https://github.com/TommyMerlin/Repository-Collection/tree/master/files
14. [afshinea / stanford-cs-229-machine-learning](https://github.com/afshinea/stanford-cs-229-machine-learning)
> Cheatsheets for Stanford's CS 229 Machine Learning.
14. [microsoft / ai-edu](https://github.com/microsoft/ai-edu)
> AI education materials for Chinese students, teachers and IT professionals.
---
### Python
1. [jackfrued / Python-100-Days](https://github.com/jackfrued/Python-100-Days)
> Python - 100天从新手到大师。
2. [TheAlgorithms / Python](https://github.com/TheAlgorithms/Python)
> 算法的Python实现。All Algorithms implemented in Python.
3. [vinta / awesome-python](https://github.com/vinta/awesome-python)
> A curated list of awesome Python frameworks, libraries, software and resources.
> 网站: <https://awesome-python.com/>
4. [fxsjy / jieba](https://github.com/fxsjy/jieba)
> 结巴中文分词。
5. [lancopku / pkuseg-python](https://github.com/lancopku/pkuseg-python)
> pkuseg多领域中文分词工具。
6. [fighting41love / funNLP](https://github.com/fighting41love/funNLP)
> 中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、历史名人词库、诗词词库、医学词库、饮食词库、法律词库、汽车词库、动物词库、中文聊天语料、中文谣言数据、百度中文问答数据集、句子相似度匹配算法集合、bert资源、文本生成&摘要相关工具、cocoNLP信息抽取工具、国内电话号码正则匹配
7. [amueller / word_cloud](https://github.com/amueller/word_cloud)
> 词云生成。A little word cloud generator in Python.
> 网站: <https://amueller.github.io/word_cloud>
8. [jakevdp / PythonDataScienceHandbook](https://github.com/jakevdp/PythonDataScienceHandbook)
> Python数据处理。Python Data Science Handbook: full text in Jupyter Notebooks.
9. [xchaoinfo / fuck-login](https://github.com/xchaoinfo/fuck-login)
> 模拟登录一些知名的网站，为了方便爬取需要登录的网站。
10. [fluentpython / example-code](https://github.com/fluentpython/example-code)
> 《流畅的Python》书中代码。Example code for the book Fluent Python.
11. [leisurelicht / wtfpython-cn](https://github.com/leisurelicht/wtfpython-cn)
> wtfpython的中文翻译。
12. [qxf2 / wtfiswronghere](https://github.com/qxf2/wtfiswronghere)
> 新手常犯的Python错误。
A collection of simple errors that beginners are likely to hit when they start writing Python.
13. [rougier / matplotlib-cheatsheet](https://github.com/rougier/matplotlib-cheatsheet)
> Matplotlib 3.1 cheat sheet. From an upcoming book on matplotlib.
---
### 中国大学课程资源
1. [USTC-Resource / USTC-Course](https://github.com/USTC-Resource/USTC-Course)
> 中国科学技术大学课程资源。
> 网站: <https://ustc-resource.github.io/USTC-Course>
2. [PKUanonym / REKCARC-TSC-UHT](https://github.com/PKUanonym/REKCARC-TSC-UHT)
> 清华大学计算机系课程攻略。
3. [lib-pku / libpku](https://github.com/lib-pku/libpku)
> 北京大学课程资料。
> 网站: <https://lib-pku.github.io/>
4. [QSCTech / zju-icicles](https://github.com/QSCTech/zju-icicles)
> 浙江大学课程攻略共享计划。
> 网站: <https://qsctech.github.io/zju-icicles/>
5. [TheNetAdmin / zjuthesis](https://github.com/TheNetAdmin/zjuthesis)
> 浙江大学毕业论文 Latex 模板。
---
### C# DOTNET
1. [TheAlgorithms / C-Sharp](https://github.com/TheAlgorithms/C-Sharp)
> 算法的C#实现。All algorithms implemented in C#.
2. [Live-Charts / Live-Charts](https://github.com/Live-Charts/Live-Charts)
> .NET下简单、灵活、可交互的图表。
Simple, flexible, interactive & powerful charts, maps and gauges for .Net.
3. [0xd4d / dnSpy](https://github.com/0xd4d/dnSpy)
> .NET调试和编译器。.NET debugger and assembly editor.
4. [shimat / opencvsharp](https://github.com/shimat/opencvsharp)
> .NET框架下的OpenCV。.NET Framework wrapper for OpenCV.
5. [dathlin / HslCommunication](https://github.com/dathlin/HslCommunication)
> 工业物联网基础架构框架，专注于基础技术通信和跨平台、跨语言通信功能，实现多种主流PLC数据读写。
> 网站: <http://www.hslcommunication.cn>
6. [quozd / awesome-dotnet](https://github.com/quozd/awesome-dotnet)
> A collection of awesome .NET libraries, tools, frameworks and software.
7. [microsoft / dotnet](https://github.com/microsoft/dotnet)
> This repo is the official home of .NET on GitHub. It's a great starting point to find many .NET OSS projects from Microsoft and the community, including many that are part of the .NET Foundation.
8. [yuzhengyang / Fork](https://github.com/yuzhengyang/Fork)
> C#工具包，C#工具类，常用方法，系统API，文件处理、加密解密、Winform美化（C# Tools）。
9. [Jimmey-Jiang / Common.Utility](https://github.com/Jimmey-Jiang/Common.Utility)
> 比较全面的c#帮助类，各种功能性代码。
---
### WPF
1. [MaterialDesignInXAML / MaterialDesignInXamlToolkit](https://github.com/MaterialDesignInXAML/MaterialDesignInXamlToolkit)
> Google's Material Design in XAML & WPF, for C# & VB.Net.
> 网站: <http://materialdesigninxaml.net/>
2. [MahApps / MahApps.Metro](https://github.com/MahApps/MahApps.Metro)
> A framework that allows developers to cobble together a Metro or Modern UI for their own WPF applications with minimal effort.
> 网站: <https://mahapps.com>
3. [firstfloorsoftware / mui](https://github.com/firstfloorsoftware/mui)
> Modern UI for WPF.
4. [xceedsoftware / wpftoolkit](https://github.com/xceedsoftware/wpftoolkit)
> All the controls missing in WPF. Over 1 million downloads.
5. [microsoft / WPF-Samples](https://github.com/microsoft/WPF-Samples)
> Repository for WPF related samples.
6. [Panuon / PanuonUI](https://github.com/Panuon/PanuonUI)
> 一个好看精致、开源无限制使用的WPF控件库。
7. [Panuon / PanuonUI.Silver](https://github.com/Panuon/PanuonUI.Silver)
> Panuon.UI optimized version. A beautiful wpf ui library using templates & attached properties.
8. [kwonganding / wpf.controls](https://github.com/kwonganding/wpf.controls)
> 在学习中和使用WPF中，学习、借鉴了很多网友的文章和开源的项目的知识。发现提供实际项目开发需要的基础控件、样式的文章大都比较散，不成系列。因此基于现在项目中使用开发了一个wpf基础UI库。
---
### 前端/博客
1. [qiu-deqing / FE-learning](https://github.com/qiu-deqing/FE-learning)
> 前端入门方法。
2. [theme-next / hexo-theme-next](https://github.com/theme-next/hexo-theme-next)
> Hexo主题。Elegant and powerful theme for Hexo.
3. [gitalk / gitalk](https://github.com/gitalk/gitalk)
> Gitalk is a modern comment component based on Github Issue and Preact.
4. [helloqingfeng / Awsome-Front-End-learning-resource](https://github.com/helloqingfeng/Awsome-Front-End-learning-resource)
> GitHub最全的前端资源汇总仓库（包括前端学习、开发资源、求职面试等）。
5. [kamranahmedse / developer-roadmap](https://github.com/kamranahmedse/developer-roadmap)
> Roadmap to becoming a web developer in 2019.
6. [ProfessionalCSharp / ProfessionalCSharp6](https://github.com/ProfessionalCSharp/ProfessionalCSharp6)
> Code samples for the book Professional C# 6 and .NET Core 1.0, Wrox Press.
7. [b3log / pipe](lihttps://github.com/b3log/pipenk)
>
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