217 lines
41 KiB
Java
217 lines
41 KiB
Java
<a href="https://github.com/GrowingGit/GitHub-Chinese-Top-Charts#github中文排行榜">返回目录</a> • <a href="/content/docs/feedback.md">问题反馈</a>
|
||
|
||
# 中文总榜 > 资料类 > Python
|
||
<sub>数据更新: 2022-01-16 / 温馨提示：中文项目泛指「文档母语为中文」OR「含有中文翻译」的项目，通常在项目的「readme/wiki/官网」可以找到</sub>
|
||
|
||
|#|Repository|Description|Stars|Updated|
|
||
|:-|:-|:-|:-|:-|
|
||
|1|[donnemartin/system-design-primer](https://github.com/donnemartin/system-design-primer)|Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.|158490|2021-12-30|
|
||
|2|[jackfrued/Python-100-Days](https://github.com/jackfrued/Python-100-Days)|Python - 100天从新手到大师|114013|2022-01-13|
|
||
|3|[521xueweihan/HelloGitHub](https://github.com/521xueweihan/HelloGitHub)|:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.|51535|2021-12-28|
|
||
|4|[0voice/interview_internal_reference](https://github.com/0voice/interview_internal_reference)|2021年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。|33194|2021-08-25|
|
||
|5|[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。中英文版被55个国家的300所大学用于教学。|29747|2022-01-15|
|
||
|6|[satwikkansal/wtfpython](https://github.com/satwikkansal/wtfpython)|What the f*ck Python? 😱|28005|2021-12-23|
|
||
|7|[0xAX/linux-insides](https://github.com/0xAX/linux-insides)|A little bit about a linux kernel|24084|2021-12-25|
|
||
|8|[wangzheng0822/algo](https://github.com/wangzheng0822/algo)|数据结构和算法必知必会的50个代码实现|20253|2021-11-15|
|
||
|9|[drduh/macOS-Security-and-Privacy-Guide](https://github.com/drduh/macOS-Security-and-Privacy-Guide)|Guide to securing and improving privacy on macOS|18783|2022-01-15|
|
||
|10|[luong-komorebi/Awesome-Linux-Software](https://github.com/luong-komorebi/Awesome-Linux-Software)|A list of awesome applications, software, tools and other materials for Linux distros. |17030|2021-12-27|
|
||
|11|[shimohq/chinese-programmer-wrong-pronunciation](https://github.com/shimohq/chinese-programmer-wrong-pronunciation)|中国程序员容易发音错误的单词|14845|2021-12-11|
|
||
|12|[miloyip/game-programmer](https://github.com/miloyip/game-programmer)|A Study Path for Game Programmer|14040|2022-01-08|
|
||
|13|[d2l-ai/d2l-en](https://github.com/d2l-ai/d2l-en)|Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.|12135|2022-01-15|
|
||
|14|[Vonng/ddia](https://github.com/Vonng/ddia)|《Designing Data-Intensive Application》DDIA中文翻译|11659|2022-01-13|
|
||
|15|[waditu/tushare](https://github.com/waditu/tushare)|TuShare is a utility for crawling historical data of China stocks|11345|2021-10-17|
|
||
|16|[wistbean/learn_python3_spider](https://github.com/wistbean/learn_python3_spider)|python爬虫教程系列、从0到1学习python爬虫，包括浏览器抓包，手机APP抓包，如 fiddler、mitmproxy，各种爬虫涉及的模块的使用，如：requests、beautifulSoup、selenium、appium、scrapy等，以及IP代理，验证码识别，Mysql，MongoDB数据库的python使用，多线程多进程爬虫的使用，css 爬虫加密逆向破解，JS爬虫逆向，分布式 ...|8692|2022-01-09|
|
||
|17|[jindongwang/transferlearning](https://github.com/jindongwang/transferlearning)|Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习|8630|2022-01-13|
|
||
|18|[Dod-o/Statistical-Learning-Method_Code](https://github.com/Dod-o/Statistical-Learning-Method_Code)|手写实现李航《统计学习方法》书中全部算法|8590|2021-09-13|
|
||
|19|[injetlee/Python](https://github.com/injetlee/Python)|Python脚本。模拟登录知乎， 爬虫，操作excel，微信公众号，远程开机|7400|2022-01-13|
|
||
|20|[jackzhenguo/python-small-examples](https://github.com/jackzhenguo/python-small-examples)|告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 Python中文网 http://www.zglg.work|6653|2021-12-31|
|
||
|21|[kangvcar/InfoSpider](https://github.com/kangvcar/InfoSpider)|INFO-SPIDER 是一个集众多数据源于一身的爬虫工具箱🧰，旨在安全快捷的帮助用户拿回自己的数据，工具代码开源，流程透明。支持数据源包括GitHub、QQ邮箱、网易邮箱、阿里邮箱、新浪邮箱、Hotmail邮箱、Outlook邮箱、京东、淘宝、支付宝、中国移动、中国联通、中国电信、知乎、哔哩哔哩、网易云音乐、QQ好友、QQ群、生成朋友圈相册、浏览器浏览历史、12306、博客园、CSDN博客、开源 ...|6021|2022-01-13|
|
||
|22|[microsoft/nlp-recipes](https://github.com/microsoft/nlp-recipes)|Natural Language Processing Best Practices & Examples|5798|2021-09-07|
|
||
|23|[shenweichen/DeepCTR](https://github.com/shenweichen/DeepCTR)|Easy-to-use,Modular and Extendible package of deep-learning based CTR models .|5759|2021-12-20|
|
||
|24|[lcdevelop/ChatBotCourse](https://github.com/lcdevelop/ChatBotCourse)|自己动手做聊天机器人教程|5274|2021-09-06|
|
||
|25|[chyroc/WechatSogou](https://github.com/chyroc/WechatSogou)|基于搜狗微信搜索的微信公众号爬虫接口|5242|2022-01-13|
|
||
|26|[humphd/have-fun-with-machine-learning](https://github.com/humphd/have-fun-with-machine-learning)|An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks|4914|2021-12-19|
|
||
|27|[Jack-Cherish/PythonPark](https://github.com/Jack-Cherish/PythonPark)|Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。|4787|2022-01-10|
|
||
|28|[public-api-lists/public-api-lists](https://github.com/public-api-lists/public-api-lists)|A collective list of free APIs for use in software and web development 🚀 (Clone of https://github.com/public-apis/public-apis)|4083|2022-01-09|
|
||
|29|[offu/WeRoBot](https://github.com/offu/WeRoBot)|WeRoBot 是一个微信公众号开发框架|3976|2022-01-03|
|
||
|30|[PyQt5/PyQt](https://github.com/PyQt5/PyQt)|PyQt Examples（PyQt各种测试和例子） PyQt4 PyQt5|3856|2021-12-15|
|
||
|31|[liuhuanyong/QASystemOnMedicalKG](https://github.com/liuhuanyong/QASystemOnMedicalKG)| A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。|3643|2021-10-14|
|
||
|32|[TingsongYu/PyTorch_Tutorial](https://github.com/TingsongYu/PyTorch_Tutorial)|《Pytorch模型训练实用教程》中配套代码|3549|2022-01-13|
|
||
|33|[xmu-xiaoma666/External-Attention-pytorch](https://github.com/xmu-xiaoma666/External-Attention-pytorch)|🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐|3520|2021-12-19|
|
||
|34|[phodal/awesome-iot](https://github.com/phodal/awesome-iot)|Awesome IoT. A collaborative list of great resources about IoT Framework, Library, OS, Platform|3490|2022-01-03|
|
||
|35|[PantsuDango/Dango-Translator](https://github.com/PantsuDango/Dango-Translator)|团子翻译器 —— 个人兴趣制作的一款基于OCR技术的翻译器|3487|2022-01-13|
|
||
|36|[ct-Open-Source/tuya-convert](https://github.com/ct-Open-Source/tuya-convert)|A collection of scripts to flash Tuya IoT devices to alternative firmwares|3390|2022-01-13|
|
||
|37|[huangsam/ultimate-python](https://github.com/huangsam/ultimate-python)|Ultimate Python study guide for newcomers and professionals alike. :snake: :snake: :snake:|3358|2022-01-15|
|
||
|38|[billryan/algorithm-exercise](https://github.com/billryan/algorithm-exercise)|Data Structure and Algorithm notes. 数据结构与算法/leetcode/lintcode题解/|3293|2021-12-13|
|
||
|39|[DA-southampton/NLP_ability](https://github.com/DA-southampton/NLP_ability)|总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力|3135|2022-01-12|
|
||
|40|[DropsDevopsOrg/ECommerceCrawlers](https://github.com/DropsDevopsOrg/ECommerceCrawlers)|实战🐍多种网站、电商数据爬虫🕷。包含🕸：淘宝商品、微信公众号、大众点评、企查查、招聘网站、闲鱼、阿里任务、博客园、微博、百度贴吧、豆瓣电影、包图网、全景网、豆瓣音乐、某省药监局、搜狐新闻、机器学习文本采集、fofa资产采集、汽车之家、国家统计局、百度关键词收录数、蜘蛛泛目录、今日头条、豆瓣影评、携程、小米应用商店、安居客、途家民宿❤️❤️❤️。微信爬虫展示项目:|3116|2022-01-13|
|
||
|41|[layumi/Person_reID_baseline_pytorch](https://github.com/layumi/Person_reID_baseline_pytorch)|Pytorch ReID: A tiny, friendly, strong pytorch implement of object re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial|3004|2022-01-11|
|
||
|42|[huangrt01/CS-Notes](https://github.com/huangrt01/CS-Notes)|我的自学笔记，终身更新，当前专注System基础、MLSys。|2944|2021-08-18|
|
||
|43|[google-research/albert](https://github.com/google-research/albert)|ALBERT: A Lite BERT for Self-supervised Learning of Language Representations|2852|2021-12-13|
|
||
|44|[EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10](https://github.com/EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10)|How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows|2758|2021-10-21|
|
||
|45|[LiyuanLucasLiu/RAdam](https://github.com/LiyuanLucasLiu/RAdam)|On the Variance of the Adaptive Learning Rate and Beyond|2447|2021-07-31|
|
||
|46|[iswbm/magic-python](https://github.com/iswbm/magic-python)|Python 黑魔法手册|2404|2021-12-12|
|
||
|47|[LyleMi/Learn-Web-Hacking](https://github.com/LyleMi/Learn-Web-Hacking)|Study Notes For Web Hacking / Web安全学习笔记|2391|2022-01-09|
|
||
|48|[PyJun/Mooc_Downloader](https://github.com/PyJun/Mooc_Downloader)|学无止下载器，慕课下载器，Mooc下载，慕课网下载，中国大学下载，爱课程下载，网易云课堂下载，学堂在线下载，超星学习通下载；支持视频，课件同时下载|2356|2021-12-12|
|
||
|49|[mars-project/mars](https://github.com/mars-project/mars)|Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.|2332|2022-01-12|
|
||
|50|[kwai/DouZero](https://github.com/kwai/DouZero)|[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning 斗地主AI|2330|2021-12-22|
|
||
|51|[PegasusWang/python_data_structures_and_algorithms](https://github.com/PegasusWang/python_data_structures_and_algorithms)|Python 中文数据结构和算法教程|2214|2022-01-15|
|
||
|52|[TechXueXi/TechXueXi](https://github.com/TechXueXi/TechXueXi)|强国通 科技强国 学习强国 xuexiqiangguo 全网最好用开源网页学习强国助手：TechXueXi （懒人刷分工具 自动学习）技术强国，支持答题，支持 docker 45分/天|2033|2022-01-14|
|
||
|53|[ines/spacy-course](https://github.com/ines/spacy-course)|👩🏫 Advanced NLP with spaCy: A free online course|1931|2022-01-12|
|
||
|54|[QData/TextAttack](https://github.com/QData/TextAttack)|TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/|1801|2021-12-16|
|
||
|55|[open-mmlab/mmselfsup](https://github.com/open-mmlab/mmselfsup)|OpenMMLab Self-Supervised Learning Toolbox and Benchmark|1770|2022-01-14|
|
||
|56|[swaroopch/byte-of-python](https://github.com/swaroopch/byte-of-python)|Beginners book on Python - start here if you don't know programming|1746|2022-01-05|
|
||
|57|[HuberTRoy/leetCode](https://github.com/HuberTRoy/leetCode)|:pencil2: 算法相关知识储备 LeetCode with Python and JavaScript :books:|1720|2021-07-26|
|
||
|58|[justinzm/gopup](https://github.com/justinzm/gopup)|数据接口：百度、谷歌、头条、微博指数,宏观数据，利率数据，货币汇率，千里马、独角兽公司，新闻联播文字稿，影视票房数据，高校名单，疫情数据…|1707|2022-01-13|
|
||
|59|[shenweichen/DeepCTR-Torch](https://github.com/shenweichen/DeepCTR-Torch)|【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.|1691|2021-08-25|
|
||
|60|[princeton-nlp/SimCSE](https://github.com/princeton-nlp/SimCSE)|EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings|1639|2021-11-26|
|
||
|61|[youyuge34/PI-REC](https://github.com/youyuge34/PI-REC)|:fire: PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain. :fire: 图像翻译，条件GAN，AI绘画|1632|2022-01-13|
|
||
|62|[Mr-xn/BurpSuite-collections](https://github.com/Mr-xn/BurpSuite-collections)|有关burpsuite的插件(非商店),文章以及使用技巧的收集(此项目不再提供burpsuite破解文件,如需要请在博客mrxn.net下载)---Collection of burpsuite plugins (non-stores), articles and tips for using Burpsuite, no crack version file|1615|2021-12-27|
|
||
|63|[iswbm/pycharm-guide](https://github.com/iswbm/pycharm-guide)|PyCharm 中文指南：安装 破解 效率 技巧|1588|2021-12-12|
|
||
|64|[conanhujinming/comments-for-awesome-courses](https://github.com/conanhujinming/comments-for-awesome-courses)|名校公开课程评价网|1535|2021-12-18|
|
||
|65|[NLP-LOVE/Introduction-NLP](https://github.com/NLP-LOVE/Introduction-NLP)|HanLP作者的新书《自然语言处理入门》详细笔记！业界良心之作，书中不是枯燥无味的公式罗列，而是用白话阐述的通俗易懂的算法模型。从基本概念出发，逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。|1497|2022-01-05|
|
||
|66|[abbeyokgo/PyOne](https://github.com/abbeyokgo/PyOne)|PyOne-一款给力的onedrive文件管理、分享程序|1483|2022-01-10|
|
||
|67|[deepset-ai/FARM](https://github.com/deepset-ai/FARM)|:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.|1452|2021-11-23|
|
||
|68|[wnma3mz/wechat_articles_spider](https://github.com/wnma3mz/wechat_articles_spider)|微信公众号文章的爬虫|1424|2022-01-14|
|
||
|69|[blmoistawinde/HarvestText](https://github.com/blmoistawinde/HarvestText)|文本挖掘和预处理工具（文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等），无监督或弱监督方法|1366|2022-01-02|
|
||
|70|[striver-ing/wechat-spider](https://github.com/striver-ing/wechat-spider)|开源微信爬虫：爬取公众号所有 文章、阅读量、点赞量和评论内容。易部署。持续维护！！！|1346|2021-09-22|
|
||
|71|[DasyDong/developer-roadmap](https://github.com/DasyDong/developer-roadmap)|developer-roadmap|1341|2021-12-07|
|
||
|72|[getpelican/pelican-plugins](https://github.com/getpelican/pelican-plugins)|Collection of plugins for the Pelican static site generator|1335|2022-01-12|
|
||
|73|[lucidrains/x-transformers](https://github.com/lucidrains/x-transformers)|A simple but complete full-attention transformer with a set of promising experimental features from various papers|1328|2022-01-10|
|
||
|74|[D-X-Y/AutoDL-Projects](https://github.com/D-X-Y/AutoDL-Projects)|Automated deep learning algorithms implemented in PyTorch.|1323|2021-10-25|
|
||
|75|[thuml/Transfer-Learning-Library](https://github.com/thuml/Transfer-Learning-Library)|Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization|1257|2022-01-04|
|
||
|76|[PaddlePaddle/PGL](https://github.com/PaddlePaddle/PGL)|Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle|1197|2021-12-29|
|
||
|77|[dongweiming/web_develop](https://github.com/dongweiming/web_develop)|《Python Web开发实战》书中源码|1168|2022-01-13|
|
||
|78|[graph4ai/graph4nlp](https://github.com/graph4ai/graph4nlp)|Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources! |1154|2022-01-13|
|
||
|79|[MenghaoGuo/Awesome-Vision-Attentions](https://github.com/MenghaoGuo/Awesome-Vision-Attentions)|Summary of related papers on visual attention. Related code will be released based on Jittor gradually. |1132|2022-01-05|
|
||
|80|[dixudx/tumblr-crawler](https://github.com/dixudx/tumblr-crawler)|Easily download all the photos/videos from tumblr blogs. 下载指定的 Tumblr 博客中的图片，视频|1126|2021-08-22|
|
||
|81|[juand-r/entity-recognition-datasets](https://github.com/juand-r/entity-recognition-datasets)|A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.|1077|2022-01-06|
|
||
|82|[twtrubiks/docker-tutorial](https://github.com/twtrubiks/docker-tutorial)|Docker 基本教學 - 從無到有 Docker-Beginners-Guide 教你用 Docker 建立 Django + PostgreSQL 📝|1066|2021-10-12|
|
||
|83|[yqchilde/JDMemberCloseAccount](https://github.com/yqchilde/JDMemberCloseAccount)|学习python操作selenium的一个🌰 ，也是一种京东全自动退会方案|1063|2021-12-14|
|
||
|84|[gxcuizy/Python](https://github.com/gxcuizy/Python)|Python3编写的各种大小程序，包含从零学Python系列、12306抢票、省市区地址库以及系列网站爬虫等学习源码|1044|2021-09-24|
|
||
|85|[anyant/rssant](https://github.com/anyant/rssant)|蚁阅 - 让 RSS 更好用，轻松订阅你喜欢的博客和资讯|1013|2022-01-14|
|
||
|86|[SimmerChan/KG-demo-for-movie](https://github.com/SimmerChan/KG-demo-for-movie)|从无到有构建一个电影知识图谱，并基于该KG，开发一个简易的KBQA程序。|1009|2021-10-05|
|
||
|87|[datawhalechina/fun-rec](https://github.com/datawhalechina/fun-rec)|本推荐算法教程主要是针对具有机器学习基础并想找推荐算法岗位的同学，教程由推荐算法基础、推荐算法入门赛、新闻推荐项目及推荐算法面经组成，形成了一个完整的从基础到实战再到面试的闭环。|1003|2022-01-14|
|
||
|88|[me-shaon/bangla-programming-resources](https://github.com/me-shaon/bangla-programming-resources)|Bangla tutorial, reference and resource list on programming topics|998|2021-11-19|
|
||
|89|[yhangf/PythonCrawler](https://github.com/yhangf/PythonCrawler)| :heartpulse:用python编写的爬虫项目集合|984|2022-01-02|
|
||
|90|[alibaba/AliceMind](https://github.com/alibaba/AliceMind)|ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab|972|2021-12-21|
|
||
|91|[HaddyYang/django2.0-course](https://github.com/HaddyYang/django2.0-course)|Django2.0视频教程相关代码（杨仕航）|972|2022-01-13|
|
||
|92|[SleepyBag/Statistical-Learning-Methods](https://github.com/SleepyBag/Statistical-Learning-Methods)|Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现|892|2021-11-14|
|
||
|93|[liuhuanyong/TextGrapher](https://github.com/liuhuanyong/TextGrapher)|Text Content Grapher based on keyinfo extraction by NLP method。输入一篇文档，将文档进行关键信息提取，进行结构化，并最终组织成图谱组织形式，形成对文章语义信息的图谱化展示。|875|2021-10-20|
|
||
|94|[Hopetree/izone](https://github.com/Hopetree/izone)|django+bootstrap4 个人博客|866|2022-01-13|
|
||
|95|[alecmuffett/real-world-onion-sites](https://github.com/alecmuffett/real-world-onion-sites)|This is a list of substantial, commercial-or-social-good mainstream websites which provide onion services.|852|2022-01-15|
|
||
|96|[521xueweihan/python](https://github.com/521xueweihan/python)|《笨方法学 Python》（Learn Python the Hard Way）学习笔记|836|2021-07-31|
|
||
|97|[HaoZhang95/Python24](https://github.com/HaoZhang95/Python24)|网上搜集的自学python语言的资料集合,包括整套代码和讲义集合，这是至今为止所开放网上能够查找到的最新视频教程，网上找不到其他最新的python整套视频了,. 具体的无加密的mp4视频教程和讲义集合可以在更新的Readme文件中找到，下载直接打开就能播放，项目从零基础的Python教程到深度学习，总共30章节，其中包含Python基础中的飞机大战项目，WSGI项目，Flask新经资讯项目， Dj ...|824|2022-01-13|
|
||
|98|[Charmve/Surface-Defect-Detection](https://github.com/Charmve/Surface-Defect-Detection)|📈 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance. |814|2021-09-17|
|
||
|99|[stacklens/django_blog_tutorial](https://github.com/stacklens/django_blog_tutorial)|Django搭建博客教程|807|2022-01-13|
|
||
|100|[fuergaosi233/gitbook2pdf](https://github.com/fuergaosi233/gitbook2pdf)|Grab the contents of the gitbook document and convert it to pdf|785|2022-01-13|
|
||
|101|[icopy-site/awesome-cn](https://github.com/icopy-site/awesome-cn)|超赞列表合集|772|2022-01-14|
|
||
|102|[iswbm/GolangCodingTime](https://github.com/iswbm/GolangCodingTime)|Go编程时光，一个零基础入门 Golang 的教程|766|2021-12-12|
|
||
|103|[EvanLi/Github-Ranking](https://github.com/EvanLi/Github-Ranking)|:star:Github Ranking:star: Github stars and forks ranking list. Github Top100 stars list of different languages. Automatically update daily. Github仓库排名，每日自动更新|763|2022-01-15|
|
||
|104|[hhaAndroid/mmdetection-mini](https://github.com/hhaAndroid/mmdetection-mini)|mmdetection最小学习版|758|2021-11-21|
|
||
|105|[fire-keeper/BlindWatermark](https://github.com/fire-keeper/BlindWatermark)|使用盲水印保护创作者的知识产权using invisible watermark to protect creator's intellectual property|756|2021-10-12|
|
||
|106|[ahmedfgad/GeneticAlgorithmPython](https://github.com/ahmedfgad/GeneticAlgorithmPython)|Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).|752|2022-01-04|
|
||
|107|[hongwenjun/vps_setup](https://github.com/hongwenjun/vps_setup)|linux vim bash 脚本学习笔记 by 蘭雅sRGB https://262235.xyz/|747|2022-01-13|
|
||
|108|[spiside/pdb-tutorial](https://github.com/spiside/pdb-tutorial)|A simple tutorial about effectively using pdb|742|2022-01-08|
|
||
|109|[LingDong-/qiji-font](https://github.com/LingDong-/qiji-font)|齊伋體 - typeface from Ming Dynasty woodblock printed books|730|2021-09-02|
|
||
|110|[HiLab-git/SSL4MIS](https://github.com/HiLab-git/SSL4MIS)|Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.|722|2022-01-12|
|
||
|111|[svjan5/GNNs-for-NLP](https://github.com/svjan5/GNNs-for-NLP)|Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020|700|2021-08-25|
|
||
|112|[twtrubiks/django-rest-framework-tutorial](https://github.com/twtrubiks/django-rest-framework-tutorial)|Django-REST-framework 基本教學 - 從無到有 DRF-Beginners-Guide 📝|700|2021-10-12|
|
||
|113|[THUDM/CogView](https://github.com/THUDM/CogView)|Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".|691|2021-10-01|
|
||
|114|[coco369/knowledge](https://github.com/coco369/knowledge)|python学习之路，就是不断累积，不断学习的过程。该知识库讲解了Python Web框架内容，如Django、DjangoRestFramework、tornado、flask，redis，MySQL，MongoDB，docker，Vue等内容|678|2021-10-13|
|
||
|115|[NUAA-AL/ALiPy](https://github.com/NUAA-AL/ALiPy)|ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.|675|2022-01-11|
|
||
|116|[RimoChan/Vtuber_Tutorial](https://github.com/RimoChan/Vtuber_Tutorial)|【教程】从零开始的自制Vtuber！|669|2021-08-13|
|
||
|117|[peiss/ant-learn-pandas](https://github.com/peiss/ant-learn-pandas)|pandas学习课程代码仓库|668|2021-08-25|
|
||
|118|[huchunxu/ros_exploring](https://github.com/huchunxu/ros_exploring)|《ROS机器人开发实践》源码|664|2021-09-26|
|
||
|119|[km1994/NLP-Interview-Notes](https://github.com/km1994/NLP-Interview-Notes)|本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含 自然语言处理各领域的 面试题积累。|642|2021-12-15|
|
||
|120|[Foair/course-crawler](https://github.com/Foair/course-crawler)|🎓 中国大学MOOC、学堂在线、网易云课堂、好大学在线、爱课程 MOOC 课程下载。 |633|2022-01-09|
|
||
|121|[cnschema/cnSchema](https://github.com/cnschema/cnSchema)|开放中文知识图谱的schema|623|2021-12-15|
|
||
|122|[dongdonghy/Detection-PyTorch-Notebook](https://github.com/dongdonghy/Detection-PyTorch-Notebook)|代码 -《深度学习之PyTorch物体检测实战》|614|2021-10-12|
|
||
|123|[MorvanZhou/NLP-Tutorials](https://github.com/MorvanZhou/NLP-Tutorials)|Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com|607|2021-12-23|
|
||
|124|[kwea123/VTuber_Unity](https://github.com/kwea123/VTuber_Unity)|Use Unity 3D character and Python deep learning algorithms to stream as a VTuber!|589|2021-09-01|
|
||
|125|[yl-1993/learn-to-cluster](https://github.com/yl-1993/learn-to-cluster)|Learning to Cluster Faces (CVPR 2019, CVPR 2020)|564|2021-12-27|
|
||
|126|[Rainbow-Dreamer/musicpy](https://github.com/Rainbow-Dreamer/musicpy)|Musicpy is a music programming language in Python designed to write music in very handy syntax through music theory and algorithms.|562|2022-01-11|
|
||
|127|[dipu-bd/lightnovel-crawler](https://github.com/dipu-bd/lightnovel-crawler)|Generate and download e-books from online sources.|549|2021-12-23|
|
||
|128|[saveweb/review-2021](https://github.com/saveweb/review-2021)|今年，你写年终总结了吗？|547|2022-01-15|
|
||
|129|[wx-chevalier/Awesome-CheatSheets](https://github.com/wx-chevalier/Awesome-CheatSheets)|:books: Ultimate CheatSheets(Tutorials&MindMap), overview of syntax, features and practical tips, collection of useful code snippets, go from zero to hero at fly. :dizzy: 干货满满的全栈开发速学速查手册集锦|541|2022-01-06|
|
||
|130|[bonfy/leetcode](https://github.com/bonfy/leetcode)|:sparkles::v::sparkles:leetcode刷题 内附leetcode solution代码自动下载生成器（Leetcode solution auto generator)|531|2021-12-13|
|
||
|131|[smileboywtu/MillionHeroAssistant](https://github.com/smileboywtu/MillionHeroAssistant)|百万 / 冲顶 / 芝士 / UC / 万能 答题助手（知识图谱更加专业，自动推荐答案， Android手机自动屏幕适配，模拟器支持，多开)|525|2022-01-13|
|
||
|132|[xiyaowong/spiders](https://github.com/xiyaowong/spiders)|Python爬虫，返回一定格式的信息，下载，使用flask提供简易api。抖音无水印、皮皮虾、快手、网易云音乐、qq音乐、咪咕音乐、荔枝FM音频、知乎视频、最右语音、视频、微博......|523|2021-07-28|
|
||
|133|[shamangary/FSA-Net](https://github.com/shamangary/FSA-Net)|[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image|514|2021-10-12|
|
||
|134|[firmianay/security-paper](https://github.com/firmianay/security-paper)|（与本人兴趣强相关的）各种安全or计算机资料收集|514|2021-12-02|
|
||
|135|[Miraclelucy/dive_into_deep_learning](https://github.com/Miraclelucy/dive_into_deep_learning)|✔️李沐 【动手学深度学习】课程学习笔记：使用pycharm编程，基于pytorch框架实现。|502|2021-08-09|
|
||
|136|[UlionTse/translators](https://github.com/UlionTse/translators)|🌏🌍🌎Translators🌎🌍🌏 is a library which aims to bring free, multiple, enjoyable translation to individuals and students in Python. Translators是一个旨在用Python为个人和学生带来免费、多样、愉快翻译的库。|502|2022-01-13|
|
||
|137|[chaijunit/beibq](https://github.com/chaijunit/beibq)|基于flask开发类似gitbook的知识管理网站。 http://demo.beibq.cn|492|2022-01-13|
|
||
|138|[baabaaox/ScrapyDouban](https://github.com/baabaaox/ScrapyDouban)| 豆瓣电影/豆瓣读书 Scarpy 爬虫|490|2022-01-14|
|
||
|139|[ysyisyourbrother/SYSU_Notebook](https://github.com/ysyisyourbrother/SYSU_Notebook)|本项目分享了本人在中山大学数据科学与计算机学院计算机科学专业的课程资料、笔记、回忆和整理的期末考试卷、及课程作业。希望对你们有所帮助❤️，如果喜欢记得给个star哦🌟 |485|2021-10-07|
|
||
|140|[zjunlp/OpenUE](https://github.com/zjunlp/OpenUE)|OpenUE是一个轻量级知识图谱抽取工具 (An Open Toolkit for Universal Extraction from Text)|483|2021-12-31|
|
||
|141|[zaxlct/python-django-learning](https://github.com/zaxlct/python-django-learning)|🍺 python 和 diango 学习资料，书籍，文章，以及实战项目等等|479|2021-08-04|
|
||
|142|[sladesha/deep_learning](https://github.com/sladesha/deep_learning)|基础的深度学习实验研究结果汇总笔记|478|2021-08-25|
|
||
|143|[hhstore/annotated-py-projects](https://github.com/hhstore/annotated-py-projects)|flask/sanic/asyncio/bottle/webpy 等源码注解合集|466|2021-09-28|
|
||
|144|[confucianzuoyuan/bookstore](https://github.com/confucianzuoyuan/bookstore)|使用Django编写一个书城电商网站，配合详细的教程。|465|2022-01-13|
|
||
|145|[facebookresearch/TaBERT](https://github.com/facebookresearch/TaBERT)|This repository contains source code for the TaBERT model, a pre-trained language model for learning joint representations of natural language utterances and (semi-)structured tables for semantic pars ...|460|2021-08-26|
|
||
|146|[HeisenbergEmpire/studynote](https://github.com/HeisenbergEmpire/studynote)|程式與網絡安全學習筆記|458|2022-01-14|
|
||
|147|[xiaoqian19940510/Event-Extraction](https://github.com/xiaoqian19940510/Event-Extraction)|近年来事件抽取方法总结，包括中文事件抽取、开放域事件抽取、事件数据生成、跨语言事件抽取、小样本事件抽取、零样本事件抽取等类型，DMCNN、FramNet、DLRNN、DBRNN、GCN、DAG-GRU、JMEE、PLMEE等方法|453|2021-08-24|
|
||
|148|[BLKSerene/Wordless](https://github.com/BLKSerene/Wordless)|An Integrated Corpus Tool With Multilingual Support for the Study of Language, Literature, and Translation|453|2022-01-12|
|
||
|149|[DeppWang/youdaonote-pull](https://github.com/DeppWang/youdaonote-pull)|📝 一个一键导出 / 备份「有道云笔记」所有笔记的 Python 脚本。 A Python script to export/backup all the notes of the "Youdao Note".|451|2021-09-28|
|
||
|150|[yikeke/zh-style-guide](https://github.com/yikeke/zh-style-guide)|An open-source style guide for writing Chinese technical documents: https://zh-style-guide.readthedocs.io|441|2021-09-22|
|
||
|151|[ramsrigouthamg/Questgen.ai](https://github.com/ramsrigouthamg/Questgen.ai)|Question generation using state-of-the-art Natural Language Processing algorithms|432|2021-09-22|
|
||
|152|[dallaslu/penzai-list](https://github.com/dallaslu/penzai-list)|List of content farm sites like g.penzai.com.|416|2021-12-28|
|
||
|153|[RimoChan/yinglish](https://github.com/RimoChan/yinglish)|【yinglish】淫语翻译机！|416|2021-08-27|
|
||
|154|[google-research/bleurt](https://github.com/google-research/bleurt)|BLEURT is a metric for Natural Language Generation based on transfer learning.|402|2022-01-13|
|
||
|155|[lixi5338619/lxSpider](https://github.com/lixi5338619/lxSpider)|爬虫案例合集。包括但不限于《淘宝、京东、天猫、豆瓣、抖音、快手、微博、微信、阿里、头条、pdd、优酷、爱奇艺、携程、12306、58、搜狐、各种指数、维普万方、Zlibraty、Oalib、小说、招标网、采购网、小红书、大众点评、推特、脉脉》|395|2022-01-14|
|
||
|156|[itcharge/LeetCode-Py](https://github.com/itcharge/LeetCode-Py)|⛽️「算法通关手册」，超详细的「算法与数据结构」基础讲解教程，「LeetCode」650+ 道题目 Python 版的详细解析。通过「算法理论学习」和「编程实战练习」相结合的方式，从零基础到彻底掌握算法知识。|394|2022-01-15|
|
||
|157|[xuyige/BERT4doc-Classification](https://github.com/xuyige/BERT4doc-Classification)|Code and source for paper ``How to Fine-Tune BERT for Text Classification?``|394|2021-10-19|
|
||
|158|[gsoc-cn/gsoc-cn](https://github.com/gsoc-cn/gsoc-cn)|Google Summer of Code 中文相关资料|390|2021-11-23|
|
||
|159|[RSS-Renaissance/awesome-blogCN-feeds](https://github.com/RSS-Renaissance/awesome-blogCN-feeds)|优质的「独立中文博客」订阅列表|375|2021-08-16|
|
||
|160|[yuhaqiang123/my-love](https://github.com/yuhaqiang123/my-love)|(都是脑图,建议使用xmind 8 打开)工程师的自我修养 -> 从 linux , 网络，MQ, Rpc, 缓存, 高可用架构，数据库，语言，全方位成长，成为技术大神，优秀的工程师 , readme 包括蚂蚁, 头条, 美团等面试思考( 拿下 offer)|374|2021-08-19|
|
||
|161|[xzkzdx/weixin-spider](https://github.com/xzkzdx/weixin-spider)|微信公众号爬虫，公众号历史文章，文章评论，文章阅读及在看数据，可视化web页面，可部署于Windows服务器。基于Python3之flask/mysql/redis/mitmproxy/pywin32等实现，高效微信爬虫，微信公众号爬虫，历史文章，文章评论，数据更新。|368|2021-09-20|
|
||
|162|[twtrubiks/docker-django-nginx-uwsgi-postgres-tutorial](https://github.com/twtrubiks/docker-django-nginx-uwsgi-postgres-tutorial)| Docker + Django + Nginx + uWSGI + Postgres 基本教學 - 從無到有 ( Docker + Django + Nginx + uWSGI + Postgres Tutorial ) |368|2021-10-06|
|
||
|163|[wizyoung/googletranslate.popclipext](https://github.com/wizyoung/googletranslate.popclipext)|(Unofficial) A free and easy-to-use Google Translate PopClip Extension (macOS). 一个免费的谷歌翻译 PopClip 插件 (macOS)。|364|2021-11-03|
|
||
|164|[sec-bit/awesome-buggy-erc20-tokens](https://github.com/sec-bit/awesome-buggy-erc20-tokens)|A Collection of Vulnerabilities in ERC20 Smart Contracts With Tokens Affected|361|2021-11-26|
|
||
|165|[awake1t/HackReport](https://github.com/awake1t/HackReport)|渗透测试报告/资料文档/渗透经验文档/安全书籍|355|2021-12-25|
|
||
|166|[Anfany/Machine-Learning-for-Beginner-by-Python3](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3)|为机器学习的入门者提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)的ML算法程序。|352|2021-10-16|
|
||
|167|[google-research-datasets/dstc8-schema-guided-dialogue](https://github.com/google-research-datasets/dstc8-schema-guided-dialogue)|The Schema-Guided Dialogue Dataset|351|2021-10-20|
|
||
|168|[lisztomania-P/learning-power](https://github.com/lisztomania-P/learning-power)|学习强国 自动化 百分百正确、瞬间答题，分值45分|348|2021-10-20|
|
||
|169|[Droidtown/ArticutAPI](https://github.com/Droidtown/ArticutAPI)|API of Articut 中文斷詞 (兼具語意詞性標記)：「斷詞」又稱「分詞」，是中文資訊處理的基礎。Articut 不用機器學習，不需資料模型，只用現代白話中文語法規則，即能達到 SIGHAN 2005 F1-measure 94% 以上，Recall 96% 以上的成績。|347|2022-01-11|
|
||
|170|[pprp/awesome-attention-mechanism-in-cv](https://github.com/pprp/awesome-attention-mechanism-in-cv)|:punch: CV中常用注意力模块;即插即用模块;ViT模型. PyTorch Implementation Collection of Attention Module and Plug&Play Module|342|2022-01-05|
|
||
|171|[facebookresearch/flores](https://github.com/facebookresearch/flores)|Facebook Low Resource (FLoRes) MT Benchmark|339|2021-11-12|
|
||
|172|[researchmm/Stark](https://github.com/researchmm/Stark)|[ICCV'21] Learning Spatio-Temporal Transformer for Visual Tracking|334|2022-01-06|
|
||
|173|[giantbranch/python-hacker-code](https://github.com/giantbranch/python-hacker-code)|《python黑帽子：黑客与渗透测试编程之道》代码及实验文件，字典等|334|2021-11-25|
|
||
|174|[alanbobs999/TopFreeProxies](https://github.com/alanbobs999/TopFreeProxies)|高质量免费节点收集，及订阅链接分享。|331|2022-01-15|
|
||
|175|[hzlmn/diy-async-web-framework](https://github.com/hzlmn/diy-async-web-framework)|Learn how modern async web frameworks work, by writing simple clone from scratch|320|2021-08-30|
|
||
|176|[jilljenn/tryalgo](https://github.com/jilljenn/tryalgo)|Algorithms and data structures for preparing programming competitions: basic and advanced|319|2021-12-03|
|
||
|177|[yongxinz/backend-interview](https://github.com/yongxinz/backend-interview)|后端面试题汇总（Python、Redis、MySQL、PostgreSQL、Kafka、数据结构、算法、编程、网络）|318|2021-10-08|
|
||
|178|[zhengxiaotian/geek_crawler](https://github.com/zhengxiaotian/geek_crawler)|极客时间课程抓取脚本，支持输入账号密码后自动将极客时间的专栏课程保存到本地|316|2021-09-13|
|
||
|179|[DengBoCong/nlp-paper](https://github.com/DengBoCong/nlp-paper)|自然语言处理领域下的对话语音领域，整理相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）|315|2022-01-11|
|
||
|180|[open-mmlab/mmfewshot](https://github.com/open-mmlab/mmfewshot)|OpenMMLab FewShot Learning Toolbox and Benchmark|309|2022-01-12|
|
||
|181|[JiayangWu/LeetCode-Python](https://github.com/JiayangWu/LeetCode-Python)|LeetCode solutions in Python2. LeetCode题解 in Python2。|304|2021-08-26|
|
||
|182|[sixs/wenshu_spider](https://github.com/sixs/wenshu_spider)|中国裁判文书网爬虫(2018-08-28更新)|302|2021-10-12|
|
||
|183|[xiao-xiaoming/DataStructure-BeautyOfAlgorithm](https://github.com/xiao-xiaoming/DataStructure-BeautyOfAlgorithm)|《数据结构与算法之美》的学习笔记和python代码实现|297|2021-08-23|
|
||
|184|[AnTao97/dgcnn.pytorch](https://github.com/AnTao97/dgcnn.pytorch)|A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)|294|2021-09-06|
|
||
|185|[liuhuanyong/ChainKnowledgeGraph](https://github.com/liuhuanyong/ChainKnowledgeGraph)|ChainKnowledgeGraph, 产业链知识图谱包括A股上市公司、行业和产品共3类实体，包括上市公司所属行业关系、行业上级关系、产品上游原材料关系、产品下游产品关系、公司主营产品、产品小类共6大类。 上市公司4,654家，行业511个，产品95,559条、上游材料56,824条，上级行业480条，下游产品390条，产品小类52,937条，所属行业3,946条。 |286|2021-10-26|
|
||
|186|[songyingxin/python-algorithm](https://github.com/songyingxin/python-algorithm)|老宋秋招刷题日记， 语言使用python|285|2021-10-30|
|
||
|187|[DSXiangLi/CTR](https://github.com/DSXiangLi/CTR)|CTR模型代码和学习笔记总结|284|2021-08-28|
|
||
|188|[ReAbout/web-sec](https://github.com/ReAbout/web-sec)|WEB安全手册，漏洞理解，漏洞利用，代码审计和渗透测试总结。【持续更新】|272|2022-01-04|
|
||
|189|[qiwihui/reinforcement-learning-an-introduction-chinese](https://github.com/qiwihui/reinforcement-learning-an-introduction-chinese)|《Reinforcement Learning: An Introduction》（第二版）中文翻译|270|2021-11-15|
|
||
|190|[PRaichu/xxqg](https://github.com/PRaichu/xxqg)|学习强国 xxqg 无人值守自动看视频、看文章、自动答题（每日答题、每周答题、专项答题），45分/天|268|2021-11-08|
|
||
|191|[csuldw/AntSpider](https://github.com/csuldw/AntSpider)|1000万豆瓣电影/评论/名人/评分数据采集源码分享（内含千万电影数据集，可下载）|268|2021-12-13|
|
||
|192|[liuli-io/liuli](https://github.com/liuli-io/liuli)|构建一个多源、干净、个性化的阅读环境|259|2022-01-05|
|
||
|193|[chrieke/awesome-geospatial-companies](https://github.com/chrieke/awesome-geospatial-companies)|:globe_with_meridians: List of 500+ geospatial companies (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)|259|2021-12-23|
|
||
|194|[kingname/SourceCodeOfBook](https://github.com/kingname/SourceCodeOfBook)|《Python爬虫开发 从入门到实战》配套源代码。|251|2021-12-13|
|
||
|195|[iswbm/PythonCodingTime](https://github.com/iswbm/PythonCodingTime)|公众号「Python编程时光」 干货目录|243|2021-12-11|
|
||
|196|[d33tah/strokes](https://github.com/d33tah/strokes)|Strokes is a project meant to help you learn Chinese characters.|240|2021-08-23|
|
||
|197|[yongxinz/tech-blog](https://github.com/yongxinz/tech-blog)|我的个人技术博客（Python、Django、Docker、Go、Redis、ElasticSearch、Kafka、Linux）|237|2021-11-14|
|
||
|198|[FutureSenzhong/FastAPI-demo](https://github.com/FutureSenzhong/FastAPI-demo)|Python3.7 + FastAPI + MySQL + Redis + Tortoise-orm + aerich 这是一个各种教程的集合体，持续踩坑中|234|2021-11-08|
|
||
|199|[luizyao/pytest-chinese-doc](https://github.com/luizyao/pytest-chinese-doc)|pytest 官方文档的中文翻译，但不仅仅是单纯的翻译，也包含自己的理解和实践。|233|2021-09-25|
|
||
|200|[chiupam/JD_Diy](https://github.com/chiupam/JD_Diy)|学习 python3 以来写的一些垃圾玩具……|231|2021-11-01|
|
||
|
||
<div align="center">
|
||
<p><sub>↓ -- 感谢读者 -- ↓</sub></p>
|
||
榜单持续更新，如有帮助请加星收藏，方便后续浏览，感谢你的支持！
|
||
</div>
|
||
|
||
<br/>
|
||
|
||
<div align="center"><a href="https://github.com/GrowingGit/GitHub-Chinese-Top-Charts#github中文排行榜">返回目录</a> • <a href="/content/docs/feedback.md">问题反馈</a></div>
|