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<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>
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# 中文增速榜 > 资料类 > Jupyter Notebook
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<sub>数据更新: 2022-01-05 / 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>
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|#|Repository|Description|Stars|Average daily growth|Updated|
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|1|[fastai/fastbook](https://github.com/fastai/fastbook)|The fastai book, published as Jupyter Notebooks|14089|21|2021-12-07|
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|2|[ShusenTang/Dive-into-DL-PyTorch](https://github.com/ShusenTang/Dive-into-DL-PyTorch)|本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。|14321|14|2021-10-14|
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|3|[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|15889|14|2021-10-25|
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|4|[MLEveryday/100-Days-Of-ML-Code](https://github.com/MLEveryday/100-Days-Of-ML-Code)|100-Days-Of-ML-Code中文版|16870|14|2021-08-11|
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|5|[dragen1860/Deep-Learning-with-TensorFlow-book](https://github.com/dragen1860/Deep-Learning-with-TensorFlow-book)|深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.|12140|13|2021-08-30|
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|6|[selfteaching/the-craft-of-selfteaching](https://github.com/selfteaching/the-craft-of-selfteaching)|One has no future if one couldn't teach themself.|13029|13|2021-12-28|
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|7|[NLP-LOVE/ML-NLP](https://github.com/NLP-LOVE/ML-NLP)|此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。|10930|12|2021-12-24|
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|8|[fengdu78/Data-Science-Notes](https://github.com/fengdu78/Data-Science-Notes)|数据科学的笔记以及资料搜集|6129|7|2021-08-16|
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|9|[leandromoreira/digital_video_introduction](https://github.com/leandromoreira/digital_video_introduction)|A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).|12231|7|2021-11-24|
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|10|[datawhalechina/easy-rl](https://github.com/datawhalechina/easy-rl)|强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/|3063|6|2022-01-04|
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|11|[Charmve/computer-vision-in-action](https://github.com/Charmve/computer-vision-in-action)|《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页|1266|5|2021-12-14|
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|12|[apachecn/Interview](https://github.com/apachecn/Interview)|Interview = 简历指南 + LeetCode + Kaggle|7218|5|2021-11-07|
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|13|[rasbt/python-machine-learning-book](https://github.com/rasbt/python-machine-learning-book)|The "Python Machine Learning (1st edition)" book code repository and info resource|11448|5|2021-07-30|
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|14|[wesm/pydata-book](https://github.com/wesm/pydata-book)|Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media|16167|5|2021-12-16|
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|15|[Mikoto10032/DeepLearning](https://github.com/Mikoto10032/DeepLearning)|深度学习入门教程, 优秀文章, Deep Learning Tutorial|6856|5|2021-12-27|
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|16|[Fafa-DL/Lhy_Machine_Learning](https://github.com/Fafa-DL/Lhy_Machine_Learning)|李宏毅2021春季机器学习课程课件及作业|1422|5|2021-12-20|
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|17|[yidao620c/python3-cookbook](https://github.com/yidao620c/python3-cookbook)|《Python Cookbook》 3rd Edition Translation|9723|4|2021-08-27|
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|18|[datawhalechina/joyful-pandas](https://github.com/datawhalechina/joyful-pandas)|pandas中文教程|2811|4|2021-10-05|
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|19|[TrickyGo/Dive-into-DL-TensorFlow2.0](https://github.com/TrickyGo/Dive-into-DL-TensorFlow2.0)|本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可|3390|3|2021-08-31|
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|20|[xianhu/LearnPython](https://github.com/xianhu/LearnPython)|以撸代码的形式学习Python|6060|3|2021-11-11|
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|21|[datawhalechina/competition-baseline](https://github.com/datawhalechina/competition-baseline)|数据科学竞赛知识、代码、思路|2570|3|2021-12-03|
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|22|[snowkylin/tensorflow-handbook](https://github.com/snowkylin/tensorflow-handbook)|简单粗暴 TensorFlow 2 A Concise Handbook of TensorFlow 2 一本简明的 TensorFlow 2 入门指导教程|3632|3|2021-09-04|
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|23|[fengdu78/WZU-machine-learning-course](https://github.com/fengdu78/WZU-machine-learning-course)|温州大学《机器学习》课程资料（代码、课件等）|839|3|2021-12-10|
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|24|[xavier-zy/Awesome-pytorch-list-CNVersion](https://github.com/xavier-zy/Awesome-pytorch-list-CNVersion)|Awesome-pytorch-list 翻译工作进行中......|1504|2|2021-07-26|
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|25|[matheusfacure/python-causality-handbook](https://github.com/matheusfacure/python-causality-handbook)|Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis. |952|2|2021-12-22|
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|26|[openvinotoolkit/openvino_notebooks](https://github.com/openvinotoolkit/openvino_notebooks)|📚 A collection of Jupyter notebooks for learning and experimenting with OpenVINO 👓|492|2|2022-01-03|
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|27|[datawhalechina/team-learning-data-mining](https://github.com/datawhalechina/team-learning-data-mining)|主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。|920|2|2021-12-02|
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|28|[ben1234560/AiLearning-Theory-Applying](https://github.com/ben1234560/AiLearning-Theory-Applying)|快速上手Ai理论及应用实战：基础知识Basic knowledge、机器学习MachineLearning、深度学习DeepLearning2、自然语言处理BERT，持续更新中。含大量注释及数据集，力求每一位能看懂并复现。|990|2|2021-10-27|
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|29|[datawhalechina/team-learning-program](https://github.com/datawhalechina/team-learning-program)|主要存储Datawhale组队学习中“编程、数据结构与算法”方向的资料。|575|1|2021-12-18|
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|30|[ssssww0905/-PyTorch-](https://github.com/ssssww0905/-PyTorch-)|【PyTorch】手把手教你跑通第一个神经网络|44|1|2022-01-03|
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|31|[microsoft/AIforEarthDataSets](https://github.com/microsoft/AIforEarthDataSets)|Notebooks and documentation for AI-for-Earth-managed datasets on Azure|167|1|2021-12-16|
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|32|[xinychen/latex-cookbook](https://github.com/xinychen/latex-cookbook)|LaTeX论文写作教程 (中文版)|193|1|2022-01-02|
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|33|[datawhalechina/fantastic-matplotlib](https://github.com/datawhalechina/fantastic-matplotlib)|Matplotlib中文教程，在线阅读地址：https://datawhalechina.github.io/fantastic-matplotlib/|216|1|2022-01-02|
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|34|[huaweicloud/ModelArts-Lab](https://github.com/huaweicloud/ModelArts-Lab)|ModelArts-Lab是示例代码库。更多AI开发学习交流信息，请访问华为云AI开发者社区：huaweicloud.ai|884|1|2021-11-26|
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|35|[zlotus/notes-linear-algebra](https://github.com/zlotus/notes-linear-algebra)|线性代数笔记|2412|1|2021-12-13|
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|36|[ZhiqingXiao/rl-book](https://github.com/ZhiqingXiao/rl-book)|Source codes for the book "Reinforcement Learning: Theory and Python Implementation"|605|1|2021-12-12|
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|37|[PaddlePaddle/book](https://github.com/PaddlePaddle/book)|Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）|2626|1|2021-11-12|
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|38|[PaddlePaddle/awesome-DeepLearning](https://github.com/PaddlePaddle/awesome-DeepLearning)|深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI|1128|1|2022-01-04|
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|39|[MemorialCheng/deep-learning-from-scratch](https://github.com/MemorialCheng/deep-learning-from-scratch)|《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》|652|1|2021-11-03|
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|40|[d2l-ai/courses-zh-v2](https://github.com/d2l-ai/courses-zh-v2)|中文版 v2 课程|228|1|2021-09-14|
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|41|[DataXujing/YOLO-v5](https://github.com/DataXujing/YOLO-v5)|:art: Pytorch YOLO v5 训练自己的数据集超详细教程！！！ :art: (提供PDF训练教程下载）|592|1|2021-12-17|
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|42|[zslucky/awesome-AI-books](https://github.com/zslucky/awesome-AI-books)|Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning|969|1|2021-10-30|
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|43|[liuhuanshuo/Pandas_Advanced_Exercise](https://github.com/liuhuanshuo/Pandas_Advanced_Exercise)|Pandas进阶修炼300题|141|1|2021-09-22|
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|44|[advboxes/AdvBox](https://github.com/advboxes/AdvBox)|Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. ...|1194|1|2021-09-08|
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|45|[CNFeffery/DataScienceStudyNotes](https://github.com/CNFeffery/DataScienceStudyNotes)|这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容|707|1|2021-12-29|
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|46|[zhouyanasd/or-pandas](https://github.com/zhouyanasd/or-pandas)|【运筹OR帷幄 数据科学】pandas教程系列电子书|670|1|2021-10-17|
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|47|[datawhalechina/statistical-learning-method-solutions-manual](https://github.com/datawhalechina/statistical-learning-method-solutions-manual)|《统计学习方法》（第二版）习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual|595|1|2021-12-27|
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|48|[szcf-weiya/ESL-CN](https://github.com/szcf-weiya/ESL-CN)|The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。|1869|1|2021-12-23|
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|49|[datawhalechina/machine-learning-toy-code](https://github.com/datawhalechina/machine-learning-toy-code)|《机器学习》（西瓜书）代码实战|118|1|2022-01-04|
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|50|[datawhalechina/hands-on-data-analysis](https://github.com/datawhalechina/hands-on-data-analysis)|动手学数据分析以项目为主线，知识点孕育其中，通过边学、边做、边引导来得到更好的学习效果|508|1|2021-09-09|
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|51|[datawhalechina/team-learning-nlp](https://github.com/datawhalechina/team-learning-nlp)|主要存储Datawhale组队学习中“自然语言处理”方向的资料。|396|1|2021-09-17|
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|52|[evanzd/ICLR2021-OpenReviewData](https://github.com/evanzd/ICLR2021-OpenReviewData)|Crawl & visualize ICLR papers and reviews.|395|1|2021-11-09|
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|53|[wmpscc/CNN-Series-Getting-Started-and-PyTorch-Implementation](https://github.com/wmpscc/CNN-Series-Getting-Started-and-PyTorch-Implementation)|我的笔记和Demo，包含分类，检测、分割、知识蒸馏。|48|0|2021-10-27|
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|54|[zzy99/competition-solutions](https://github.com/zzy99/competition-solutions)|我的数据竞赛方案总结|17|0|2021-11-16|
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|55|[fry404006308/fry_course_materials](https://github.com/fry404006308/fry_course_materials)|范仁义录播课资料|17|0|2021-11-03|
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|56|[xianghuisun/Chinese_KGQA](https://github.com/xianghuisun/Chinese_KGQA)|该仓库目的是实现基于知识图谱的中文问答系统|15|0|2021-12-22|
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|57|[neolee/pilot-student](https://github.com/neolee/pilot-student)|“进入编程世界的第一课” 的学习用书|76|0|2021-12-23|
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|58|[hitlic/python_book](https://github.com/hitlic/python_book)|清华大学出版社《Python从入门到提高》源代码、课件|13|0|2021-10-02|
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|59|[shibing624/python-tutorial](https://github.com/shibing624/python-tutorial)|Python实用教程，包括：Python基础，Python高级特性，面向对象编程，多线程，数据库，数据科学，Flask，爬虫开发教程。|551|0|2021-11-05|
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|60|[wowchemy/hugo-blog-theme](https://github.com/wowchemy/hugo-blog-theme)|📝 Hugo Academic Blog Theme. 轻松创建一个简约博客. No code, highly customizable using widgets.|46|0|2021-12-11|
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|61|[binzhouchn/machine_learning](https://github.com/binzhouchn/machine_learning)|抽象来讲，机器学习问题是把数据转换成信息再提炼到知识的过程，特征是“数据-->信息”的过程，决定了结果的上限，而分类器是“信息-->知识”的过程，则是去逼近这个上限|18|0|2021-10-15|
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|62|[sijichun/MathStatsCode](https://github.com/sijichun/MathStatsCode)|Codes for my mathematical statistics course|149|0|2021-12-27|
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|63|[ymzis69/gddw_track3](https://github.com/ymzis69/gddw_track3)|阿里云天池广东电网识别挑战赛（赛道三） 亚军方案分享|11|0|2021-09-15|
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|64|[datawhalechina/team-learning-cv](https://github.com/datawhalechina/team-learning-cv)|主要存储Datawhale组队学习中“计算机视觉”方向的资料。|175|0|2021-09-06|
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|65|[cador/Python_Predict_Analysis_Algorithm_Book_Codes](https://github.com/cador/Python_Predict_Analysis_Algorithm_Book_Codes)|《Python预测之美：数据分析与算法实战》书籍代码维护|34|0|2021-08-25|
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|66|[zhiyu1998/Python-Basis-Notes](https://github.com/zhiyu1998/Python-Basis-Notes)|一份包含了Python基础学习需要的知识框架 :snake: + 爬虫基础 :spider: + numpy基础 :bar_chart: + pandas基础 :panda_face:|46|0|2021-12-11|
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|67|[Mazeqi/PaperNote](https://github.com/Mazeqi/PaperNote)|阅读论文的一些笔记|11|0|2021-12-09|
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|68|[reganzm/Learn-Pytorch-And-Become-A-Data-Scientist](https://github.com/reganzm/Learn-Pytorch-And-Become-A-Data-Scientist)|《学好Pytorch成为数据科学家》书籍随书代码|19|0|2021-10-21|
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|69|[johnnychen94/Julia_and_its_applications](https://github.com/johnnychen94/Julia_and_its_applications)|2021 年《Julia 语言及其应用》系列讲座的材料|35|0|2021-12-05|
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|70|[OUCTheoryGroup/colab_demo](https://github.com/OUCTheoryGroup/colab_demo)|中国海洋大学视觉实验室前沿理论小组 pytorch 学习|48|0|2021-10-16|
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|71|[BrikerMan/tf2-101](https://github.com/BrikerMan/tf2-101)|Repository for Book 《TensorFlow 2.0 入门实践》|11|0|2021-10-28|
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|72|[kingname/SourceCodeofMongoRedis](https://github.com/kingname/SourceCodeofMongoRedis)|《左手MongoDB，右手Redis——从入门到商业实战》书籍配套源代码。|166|0|2021-08-19|
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|73|[WYGNG/USTC_SSE_AI](https://github.com/WYGNG/USTC_SSE_AI)|中国科学技术大学软件学院人工智能课程|12|0|2021-09-08|
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|74|[ljyslyc/Book-KnowledgeGraph-Recommendation](https://github.com/ljyslyc/Book-KnowledgeGraph-Recommendation)|书籍知识图谱推荐系统|25|0|2021-07-20|
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|75|[jinhualee/datashine](https://github.com/jinhualee/datashine)|《Python统计与数据分析实战》课程代码，包含了大部分统计与非参数统计和数据分析的模型、算法。回归分析、方差分析、点估计、假设检验、主成分分析、因子分析、聚类分析、判别分析、对数线性模型、分位回归模型以及列联表分析、非参数平滑、非参数密度估计等各种非参数统计方法。|31|0|2021-08-16|
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|76|[hxchua/datadoubleconfirm](https://github.com/hxchua/datadoubleconfirm)|Simple datasets and notebooks for data visualization, statistical analysis and modelling - with write-ups here: http://projectosyo.wix.com/datadoubleconfirm. |35|0|2021-12-14|
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|77|[howie6879/pylab](https://github.com/howie6879/pylab)|和Python相关的学习笔记：机器学习、算法、进阶书籍、文档，博客地址：https://www.howie6879.cn|37|0|2021-12-29|
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|78|[JULIELab/MEmoLon](https://github.com/JULIELab/MEmoLon)|Repository for our ACL 2020 paper "Learning and Evaluating Emotion Lexicons for 91 Languages"|18|0|2021-08-23|
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|79|[aialgorithm/AiPy](https://github.com/aialgorithm/AiPy)|Python机器学习、深度学习算法开发等学习资源分享|35|0|2021-12-27|
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|80|[NjtechCVLab/Level_1](https://github.com/NjtechCVLab/Level_1)|入门资料|12|0|2021-11-29|
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|81|[SocratesAcademy/css](https://github.com/SocratesAcademy/css)|《计算社会科学》课程|43|0|2021-09-11|
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|82|[Global-Policy-Lab/gpl-covid](https://github.com/Global-Policy-Lab/gpl-covid)|Repo for code and small datasets related to Global Policy Lab's COVID-19 policy analysis. Read and share the acompanying article here:|11|0|2021-07-09|
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|83|[Relph1119/statistical-learning-method-camp](https://github.com/Relph1119/statistical-learning-method-camp)|统计学习方法训练营课程作业及答案，视频笔记在线阅读地址：https://relph1119.github.io/statistical-learning-method-camp|189|0|2021-09-08|
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|84|[xiaoyusmd/PythonDataScience](https://github.com/xiaoyusmd/PythonDataScience)|Python数据科学系专栏（pandas、Numpy、SKlearn、Matplotlib）、实战项目（代码、讲解、数据集）|39|0|2022-01-04|
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|85|[wanghao15536870732/StudyNotes](https://github.com/wanghao15536870732/StudyNotes)|📖 学习笔记|10|0|2021-11-08|
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|86|[fly51fly/Principle_of_Web_Search_2021](https://github.com/fly51fly/Principle_of_Web_Search_2021)|北邮《网络搜索引擎原理》课程(2021)|39|0|2021-11-05|
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|87|[ZhiningLiu1998/mesa](https://github.com/ZhiningLiu1998/mesa)|NeurIPS’20 Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. 设计元知识驱动的采样器解决类别不平衡问题|68|0|2021-12-23|
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|88|[fire717/Python-Toolkit](https://github.com/fire717/Python-Toolkit)|轮子/ 常用库/ 书籍笔记/ 小程序|16|0|2021-12-06|
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|89|[rhidra/autopilot](https://github.com/rhidra/autopilot)|A UAV autonomous navigation autopilot, made with ROS, MAVROS, PX4 and Gazebo. Check out my master thesis in the repo for more info.|10|0|2021-09-23|
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|90|[LemenChao/PythonFromDAToDS](https://github.com/LemenChao/PythonFromDAToDS)|图书《Python编程：从数据分析到数据科学》的配套资源|188|0|2021-10-10|
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|91|[chansonZ/book-ml-sem](https://github.com/chansonZ/book-ml-sem)|《机器学习：软件工程方法与实现》Method and implementation of machine learning software engineering|124|0|2021-11-29|
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|92|[Amberlan1001/eat_tensorflow2_in_30_days_ipynb](https://github.com/Amberlan1001/eat_tensorflow2_in_30_days_ipynb)|30天掌握Tensorflow2.1 Jupyter Notebook 版|50|0|2021-12-17|
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|93|[dota2heqiuzhi/dota2_data_analysis_tutorial](https://github.com/dota2heqiuzhi/dota2_data_analysis_tutorial)|《数据分析入门课程》配套代码|57|0|2021-12-23|
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|94|[hzcforever/Something](https://github.com/hzcforever/Something)|面试知识点 + 笔试刷题总结。|21|0|2021-09-15|
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|95|[dmarx/anthology-of-modern-ml](https://github.com/dmarx/anthology-of-modern-ml)|Collection of important articles to be treated as a textbook|20|0|2021-12-16|
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|96|[tsaac/Python](https://github.com/tsaac/Python)|YINUXY的python脚本分享|23|0|2021-09-20|
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|97|[beiciliang/intro2musictech](https://github.com/beiciliang/intro2musictech)|公众号“无痛入门音乐科技”开源代码|122|0|2021-10-31|
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|98|[zhangjx831/Data-Science-Notes](https://github.com/zhangjx831/Data-Science-Notes)|数据科学与机器学习炼成笔记|51|0|2021-12-29|
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|99|[wss1996/Name-disambiguation](https://github.com/wss1996/Name-disambiguation)|同名论文消歧的工程化方案（参考2019智源-aminer人名消歧竞赛第一名方案）|15|0|2021-08-25|
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|100|[newaetech/chipwhisperer-jupyter](https://github.com/newaetech/chipwhisperer-jupyter)|Interactive ChipWhisperer tutorials using Jupyter notebooks.|55|0|2021-12-08|
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|101|[HeXavi8/Mathematical-Modeling](https://github.com/HeXavi8/Mathematical-Modeling)|A sharing of the learning process of mathematical modeling 数学建模常用工具模型算法分享：数学建模竞赛优秀论文，数学建模常用算法模型，LaTeX论文模板，SPSS工具分享。|25|0|2021-11-20|
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|102|[eagle-dai/OptimizingSoftwareInCpp](https://github.com/eagle-dai/OptimizingSoftwareInCpp)|Optimizing Software In C++ 非正式中文翻译|23|0|2021-11-12|
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|103|[Relph1119/Pytorch-Camp](https://github.com/Relph1119/Pytorch-Camp)|深度之眼《Pytorch框架训练营》|14|0|2021-10-12|
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|104|[JamesLavin/my_tech_resources](https://github.com/JamesLavin/my_tech_resources)|List of tech resources future me and other Javascript/Ruby/Python/Elixir/Elm developers might find useful|248|0|2021-12-21|
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|105|[lululxvi/tutorials](https://github.com/lululxvi/tutorials)|Tutorials on deep learning, Python, and dissipative particle dynamics|42|0|2021-12-14|
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|106|[SocratesAcademy/ccbook](https://github.com/SocratesAcademy/ccbook)|Elements of Computational Communication 《计算传播基础》|12|0|2021-09-27|
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|107|[LawsonAbs/learn](https://github.com/LawsonAbs/learn)|记录python,pytorch,git等工具的学习过程，主要是对该工具常用部分进行实践。|15|0|2022-01-02|
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|108|[afunTW/Python-Crawling-Tutorial](https://github.com/afunTW/Python-Crawling-Tutorial)|Python crawling tutorial|62|0|2021-12-13|
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|109|[shibing624/nlp-tutorial](https://github.com/shibing624/nlp-tutorial)|自然语言处理（NLP）教程，包括：词向量，词法分析，预训练语言模型，文本分类，文本语义匹配，信息抽取，翻译，对话。|67|0|2021-10-21|
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|110|[MachineLP/Spark-](https://github.com/MachineLP/Spark-)|Spark学习笔记|41|0|2021-12-09|
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|111|[napoler/reformer-chinese](https://github.com/napoler/reformer-chinese)|reformer-pytorch中文版本，简单高效的生成模型。类似GPT2的效果|12|0|2021-09-25|
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|112|[huangtinglin/Linear-Algebra-and-Its-Applications-notes](https://github.com/huangtinglin/Linear-Algebra-and-Its-Applications-notes)|《线性代数及其应用》笔记|155|0|2021-09-17|
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|113|[whyAndBetter/python_grammar](https://github.com/whyAndBetter/python_grammar)|Python的基础语法学习|15|0|2021-08-29|
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|114|[QiangAI/AI_Engineering](https://github.com/QiangAI/AI_Engineering)|这是中国高科集团实训资料库，包含课件，示例代码以及其他相关资料|10|0|2021-07-07|
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|115|[rwepa/DataDemo](https://github.com/rwepa/DataDemo)|提供資料集與範例分享.|13|0|2021-11-11|
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|116|[skywateryang/timeseries101](https://github.com/skywateryang/timeseries101)|本教程独立网站已上线|51|0|2021-12-28|
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|117|[cumtcssuld/RSP_of_CUMTCS](https://github.com/cumtcssuld/RSP_of_CUMTCS)|【矿大计算机学院资源共享计划（Resource SharingPlan of CUMTCS）】本仓库由矿大计算机学院学生会学习部牵头维护，由计算机学院全体同学共建共享。欢迎大家积极的参加到本资源库的建设中来吧！（每当有重大更新，我们都会将整个库克隆到码云，点击下边链接，到我们的码云仓库可以获得更好的下载体验）|51|0|2021-11-28|
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|118|[qiguming/MLAPP_CN_CODE](https://github.com/qiguming/MLAPP_CN_CODE)|《Machine Learning: A Probabilistic Perspective》（Kevin P. Murphy）中文翻译和书中算法的Python实现。|315|0|2021-07-14|
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|119|[jcchan23/CoMPT](https://github.com/jcchan23/CoMPT)|Code of our IJCAI2021 paper: "Learning Attributed Graph Representation with Communicative Message Passing Transformer"|33|0|2021-09-08|
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|120|[mepeichun/Efficient-Neural-Network-Bilibili](https://github.com/mepeichun/Efficient-Neural-Network-Bilibili)|B站Efficient-Neural-Network学习分享的配套代码|161|0|2021-12-08|
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|121|[mindspore-ai/course](https://github.com/mindspore-ai/course)|MindSpore course|33|0|2021-11-03|
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|122|[johnjim0816/rl-tutorials](https://github.com/johnjim0816/rl-tutorials)|basic algorithms of reinforcement learning|39|0|2021-12-29|
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|123|[xiaoxiaoyao/MyApp](https://github.com/xiaoxiaoyao/MyApp)|随便写的各种，点链接可以进入我的知乎|51|0|2021-11-19|
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|124|[1am9trash/Hung_Yi_Lee_ML_2021](https://github.com/1am9trash/Hung_Yi_Lee_ML_2021)|李宏毅教授 2021年機器學習 作業與筆記匯總|15|0|2021-09-17|
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|125|[batermj/data_sciences_campaign](https://github.com/batermj/data_sciences_campaign)|【数据科学家系列课程】|84|0|2022-01-04|
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|126|[oubindo/cs231n-cnn](https://github.com/oubindo/cs231n-cnn)|斯坦福的cs231n课程的assignments，非常好的课程，在这里也要强推|39|0|2021-09-07|
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|127|[liuhuanshuo/zaoqi-Python](https://github.com/liuhuanshuo/zaoqi-Python)|公众号：早起Python|300|0|2021-10-20|
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|128|[MorvanZhou/easy-scraping-tutorial](https://github.com/MorvanZhou/easy-scraping-tutorial)|Simple but useful Python web scraping tutorial code. |642|0|2021-08-18|
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|129|[Sharpiless/yolov5-distillation-5.0](https://github.com/Sharpiless/yolov5-distillation-5.0)|yolov5 5.0 version distillation yolov5 5.0版本知识蒸馏，yolov5l >> yolov5s|51|0|2021-07-29|
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|130|[hiDaDeng/DaDengAndHisPython](https://github.com/hiDaDeng/DaDengAndHisPython)|【微信公众号：大邓和他的python】, Python语法快速入门https://www.bilibili.com/video/av44384851 Python网络爬虫快速入门https://www.bilibili.com/video/av72010301, 我的联系邮箱thunderhit@qq.com|52|0|2021-12-28|
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|131|[PolarisRisingWar/cs224w-2021-winter-colab](https://github.com/PolarisRisingWar/cs224w-2021-winter-colab)|cs224w（图机器学习）2021冬季课程的colab|42|0|2021-07-09|
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|132|[0809zheng/CS231n-assignment2019](https://github.com/0809zheng/CS231n-assignment2019)|CS231n 2019年春季学期课程作业|96|0|2021-11-08|
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|133|[Anjin-Liu/Openset_Learning_AOSR](https://github.com/Anjin-Liu/Openset_Learning_AOSR)|Source code for ICML2021 Paper - Learning Bounds for Open-set Learning|20|0|2021-07-17|
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|134|[heucoder/ML-DL_book](https://github.com/heucoder/ML-DL_book)|机器学习、深度学习一些个人认为不错的书籍。|54|0|2021-11-08|
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|135|[HuangCongQing/CS231n_Spring_2019](https://github.com/HuangCongQing/CS231n_Spring_2019)|CS231n_Spring（2019年秋季）计算机视觉课程|18|0|2021-12-20|
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|136|[LaoGong-zp/Transformer](https://github.com/LaoGong-zp/Transformer)| Learning materials of Transformer, including my code, XMind, PDF and so on|37|0|2021-09-28|
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|137|[Divsigma/2020-cs213n](https://github.com/Divsigma/2020-cs213n)|一些公开课的笔记及作业|90|0|2021-11-13|
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|138|[simbafl/Data-analysis](https://github.com/simbafl/Data-analysis)|主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。|155|0|2022-01-02|
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|139|[fire717/Machine-Learning](https://github.com/fire717/Machine-Learning)|机器学习&深度学习资料笔记&基本算法实现&资源整理（ML / CV / NLP / DM...）|165|0|2021-12-29|
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|140|[ZhangXinNan/DL-with-Python-and-PyTorch](https://github.com/ZhangXinNan/DL-with-Python-and-PyTorch)|《Python深度学习基于PyTorch》 Deep Learning with Python and PyTorch 作者：吴茂贵 郁明敏 杨本法 李涛 张粤磊 等|35|0|2021-08-08|
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|141|[chuachinhon/gradio_nlp](https://github.com/chuachinhon/gradio_nlp)|A series of notebooks demonstrating how to build simple NLP web apps with Gradio and Hugging Face transformers|16|0|2021-08-11|
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|142|[BrikerMan/classic_chinese_punctuate](https://github.com/BrikerMan/classic_chinese_punctuate)|classic Chinese punctuate experiment with keras using daizhige(殆知阁古代文献藏书) dataset|29|0|2021-08-25|
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|143|[xiaomeng79/learning_notes](https://github.com/xiaomeng79/learning_notes)|学习笔记|17|0|2021-12-20|
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|144|[China-ChallengeHub/ChallengeHub-Baselines](https://github.com/China-ChallengeHub/ChallengeHub-Baselines)|ChallengeHub开源的各大比赛baseline集合|76|0|2021-09-24|
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|145|[liangruibupt/aws-is-how](https://github.com/liangruibupt/aws-is-how)|Know How Guide and Hands on Guide for AWS|21|0|2021-12-29|
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|146|[shiyanlou/louplus-dm](https://github.com/shiyanlou/louplus-dm)|实验楼 《楼+ 数据分析与挖掘实战》课程挑战作业参考答案|61|0|2021-08-16|
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|147|[waterDLut/hydrus](https://github.com/waterDLut/hydrus)|水文水资源（Hydrology and Water Resources）方面利用python做模型model、算法algorithm等科学计算工作所需的基础技能树学习|21|0|2021-11-16|
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|148|[IBBD/IBBD.github.io](https://github.com/IBBD/IBBD.github.io)|IBBD技术博客|35|0|2021-07-17|
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|149|[zhangqizky/ManTra_Net_Test_Demo](https://github.com/zhangqizky/ManTra_Net_Test_Demo)|🌹2019年CVPR论文：ManTra-Net: Manipulation Tracing Network For Detection And Localization of Image Forgeries With Anomalous Features |30|0|2021-08-25|
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|150|[bobo0810/PytorchNetHub](https://github.com/bobo0810/PytorchNetHub)|项目注释+论文复现+算法竞赛+Pytorch指北|402|0|2021-12-28|
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|151|[xuwening/blog](https://github.com/xuwening/blog)|对过往做做总结|90|0|2021-09-16|
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|152|[laisimiao/cs231n-Spring2019-assignment](https://github.com/laisimiao/cs231n-Spring2019-assignment)|This is the all answer for stanford course CS231n spring 2019.|31|0|2021-08-27|
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|153|[zkywsg/Daily-DeepLearning](https://github.com/zkywsg/Daily-DeepLearning)|🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial|444|0|2021-07-13|
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|154|[wwtm/gitpython_examples](https://github.com/wwtm/gitpython_examples)|some interesting python examples|52|0|2021-10-16|
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|155|[Valuebai/learn-NLP-luhuibo](https://github.com/Valuebai/learn-NLP-luhuibo)|记录学习NLP之路，一起加油|11|0|2021-09-08|
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|156|[wx-chevalier/AI-Series](https://github.com/wx-chevalier/AI-Series)|:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 机器学习篇 深度学习篇 自然语言处理篇 工具 ...|713|0|2021-11-24|
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|157|[jikeruohai/machine-learning-example](https://github.com/jikeruohai/machine-learning-example)|我的同名B站和公众号中用到的视频|14|0|2021-10-21|
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|158|[HuangCongQing/3D-Point-Clouds](https://github.com/HuangCongQing/3D-Point-Clouds)|🔥3D点云目标检测&语义分割-SOTA方法,代码,论文,数据集等|61|0|2021-10-13|
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|159|[hanx316/Tech-Notes](https://github.com/hanx316/Tech-Notes)|📒 技术学习笔记，好记性不如 Markdown|12|0|2021-07-24|
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|160|[ni1o1/pygeo-tutorial](https://github.com/ni1o1/pygeo-tutorial)|Tutorial of geospatial data processing using python 用python分析时空数据的教程(in Chinese and English )|262|0|2021-11-17|
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|161|[oldratlee/software-practice-thoughts](https://github.com/oldratlee/software-practice-thoughts)|📚 🐣 软件实践文集。主题不限，思考讨论有趣有料就好，包含如 系统的模型分析/量化分析、开源漫游者指南、软件可靠性设计实践…… 🥤|107|0|2021-12-20|
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|162|[sofroniewn/tutorial-scipy2021-bioimage-analysis-fundamentals](https://github.com/sofroniewn/tutorial-scipy2021-bioimage-analysis-fundamentals)|Tutorial for SciPy 2021 Bioimage Analysis Fundamentals in Python|25|0|2021-07-13|
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|163|[SummerLife/EmbeddedSystem](https://github.com/SummerLife/EmbeddedSystem)|:books: 计算机体系架构、嵌入式系统基础与主流编程语言相关内容总结|320|0|2022-01-02|
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|164|[ZitongLu1996/Python-EEG-Handbook](https://github.com/ZitongLu1996/Python-EEG-Handbook)|Python脑电数据处理中文手册 - A Chinese handbook for EEG data analysis based on Python|89|0|2021-09-23|
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|165|[TinyHandsome/BookStudy](https://github.com/TinyHandsome/BookStudy)|各本书的学习笔记|11|0|2021-12-09|
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|166|[datawhalechina/learn-python-the-smart-way](https://github.com/datawhalechina/learn-python-the-smart-way)|聪明方法学Python，简明且系统的 Python 入门教程。|47|0|2021-12-27|
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|167|[aialgorithm/Blog](https://github.com/aialgorithm/Blog)|Python机器学习算法技术博客，有原创干货！有code实践！ |107|0|2021-12-29|
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|168|[lipengyuan1994/Patrick-s-DS-Station](https://github.com/lipengyuan1994/Patrick-s-DS-Station)|The Data Science 🔋Learning Station of Pytrick🌰 （ From Coursera, edX, LinkedIn Learning, etc... and Also contains Books). I am still updating it.|19|0|2021-09-04|
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|169|[Hourout/tensorview](https://github.com/Hourout/tensorview)|Dynamic visualization training service in Jupyter Notebook for Keras, tf.keras and others.|13|0|2021-07-22|
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|170|[hanzhenlei767/NLP_Learn](https://github.com/hanzhenlei767/NLP_Learn)|NLP学习笔记-前沿追踪|15|0|2021-08-25|
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|171|[zhangjunhd/reading-notes](https://github.com/zhangjunhd/reading-notes)|张俊的读书笔记|69|0|2022-01-04|
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|172|[sangyy/CUDA_Python](https://github.com/sangyy/CUDA_Python)|CUDA Python 科普之夜 手把手教你写GPU加速代码|11|0|2021-08-26|
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|173|[yunwei37/ZJU-CS-GIS-ClassNotes](https://github.com/yunwei37/ZJU-CS-GIS-ClassNotes)|一个浙江大学本科生的计算机、地理信息科学知识库 包含课程资料 学习笔记 大作业等（ 数据结构与算法、人工智能、地理空间数据库、计算机组成、计算机网络、图形学、编译原理等课程）|288|0|2021-12-06|
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|174|[evenchange4/nextjs-tfjs-cnn](https://github.com/evenchange4/nextjs-tfjs-cnn)|🐕 🐈 Classifier using Keras VGG16 transfer learning with kaggle dataset.|11|0|2021-10-18|
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|175|[sherlcok314159/ML](https://github.com/sherlcok314159/ML)|此仓库将介绍Deep Learning 所需要的基础知识以及NLP方面的模型原理到项目实操 : )|92|0|2021-12-29|
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<p><sub>↓ -- 感谢读者 -- ↓</sub></p>
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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！
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<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>
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