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# 中文新秀榜 > 资料类 > Python
数据更新: 2022-04-10 / 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
|#|Repository|Description|Stars|Updated|Created|
|:-|:-|:-|:-|:-|:-|
|1|[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.⭐⭐⭐|4743|2022-04-07|2021-05-08|
|2|[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|2731|2022-04-08|2021-07-04|
|3|[kwai/DouZero](https://github.com/kwai/DouZero)|[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning 斗地主AI|2487|2022-03-05|2021-06-02|
|4|[princeton-nlp/SimCSE](https://github.com/princeton-nlp/SimCSE)|EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings|1907|2021-11-26|2021-04-16|
|5|[conanhujinming/comments-for-awesome-courses](https://github.com/conanhujinming/comments-for-awesome-courses)|名校公开课程评价网|1854|2022-03-12|2021-06-19|
|6|[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. |1484|2022-03-05|2021-09-01|
|7|[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|1151|2022-04-09|2021-05-04|
|8|[alibaba/AliceMind](https://github.com/alibaba/AliceMind)|ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab|1080|2022-01-25|2021-05-21|
|9|[4ra1n/JavaSecInterview](https://github.com/4ra1n/JavaSecInterview)|打造最强的Java安全研究与安全开发面试题库，包含问题和详细的答案，帮助师傅们找到满意的工作|894|2022-04-04|2022-02-14|
|10|[alanbobs999/TopFreeProxies](https://github.com/alanbobs999/TopFreeProxies)|高质量免费节点分享，以及订阅链接收集。|811|2022-04-08|2021-07-29|
|11|[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".|798|2022-04-01|2021-05-25|
|12|[saveweb/review-2021](https://github.com/saveweb/review-2021)|今年，你写年终总结了吗？|669|2022-04-03|2021-12-31|
|13|[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|515|2021-12-25|2021-06-25|
|14|[HeisenbergEmpire/studynote](https://github.com/HeisenbergEmpire/studynote)|程式與網絡安全學習筆記|457|2022-01-26|2021-11-23|
|15|[SkywalkerJi/mdt](https://github.com/SkywalkerJi/mdt)|Yu-Gi-Oh! Master Duel Translation Script|438|2022-04-07|2022-01-24|
|16|[wdmpa/content-farm-list](https://github.com/wdmpa/content-farm-list)|List of content farm sites like g.penzai.com.|434|2022-04-08|2021-10-09|
|17|[open-mmlab/mmfewshot](https://github.com/open-mmlab/mmfewshot)|OpenMMLab FewShot Learning Toolbox and Benchmark|377|2022-04-09|2021-11-22|
|18|[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。 |311|2021-10-26|2021-10-26|
|19|[shengxinjing/it-roadmap](https://github.com/shengxinjing/it-roadmap)|大圣的前端学习路线图|238|2022-02-24|2021-11-27|
|20|[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|2021-05-22|
|21|[DL-Practise/YoloAll](https://github.com/DL-Practise/YoloAll)|YoloAll is a collection of yolo all versions. you you use YoloAll to test yolov3/yolov5/yolox/yolo_fastest|157|2021-12-02|2021-08-22|
|22|[sunyilgdx/NSP-BERT](https://github.com/sunyilgdx/NSP-BERT)|The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"|125|2021-11-16|2021-09-06|
|23|[Nriver/trilium-translation](https://github.com/Nriver/trilium-translation)|Translation for Trilium Notes. Trilium Notes 中文版.|113|2021-12-09|2021-06-06|
|24|[bupt-ai-cz/Meta-SelfLearning](https://github.com/bupt-ai-cz/Meta-SelfLearning)|Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark|111|2021-12-07|2021-06-17|
|25|[wangwangit/python_sign](https://github.com/wangwangit/python_sign)|联通营业厅,GLaDOS,腾讯视频,CSDN签到,每日新闻生成,掘金签到抽奖,邮件批量发送,leetcode每日一题,线报推送,更多脚本正在开发中!|96|2021-10-20|2021-06-11|