160 lines
26 KiB
Markdown
160 lines
26 KiB
Markdown
<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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# 中文总榜 > 资料类 > Jupyter Notebook
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<sub>数据更新: 2022-08-03 / 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|Updated|
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|1|[MLEveryday/100-Days-Of-ML-Code](https://github.com/MLEveryday/100-Days-Of-ML-Code)|100-Days-Of-ML-Code中文版|19069|2022-04-06|
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|2|[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|17650|2022-07-06|
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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|17016|2022-03-25|
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|4|[fastai/fastbook](https://github.com/fastai/fastbook)|The fastai book, published as Jupyter Notebooks|15712|2022-07-28|
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|5|[selfteaching/the-craft-of-selfteaching](https://github.com/selfteaching/the-craft-of-selfteaching)|One has no future if one couldn't teach themself.|13438|2022-07-19|
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|6|[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).|12832|2022-06-07|
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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。|12339|2022-06-21|
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|8|[yidao620c/python3-cookbook](https://github.com/yidao620c/python3-cookbook)|《Python Cookbook》 3rd Edition Translation|10251|2022-02-01|
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|9|[Mikoto10032/DeepLearning](https://github.com/Mikoto10032/DeepLearning)|深度学习入门教程, 优秀文章, Deep Learning Tutorial|8088|2022-04-21|
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|10|[apachecn/Interview](https://github.com/apachecn/Interview)|Interview = 简历指南 + 算法题 + 八股文 + 源码分析|7624|2022-06-09|
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|11|[xianhu/LearnPython](https://github.com/xianhu/LearnPython)|以撸代码的形式学习Python|6381|2022-04-13|
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|12|[datawhalechina/joyful-pandas](https://github.com/datawhalechina/joyful-pandas)|pandas中文教程|3273|2022-07-22|
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|13|[datawhalechina/competition-baseline](https://github.com/datawhalechina/competition-baseline)|数据科学竞赛知识、代码、思路|3016|2022-07-27|
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|14|[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|2633|2022-07-03|
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|15|[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。|2006|2022-06-28|
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|16|[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|1654|2022-07-08|
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|17|[Charmve/computer-vision-in-action](https://github.com/Charmve/computer-vision-in-action)|学习闭环《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|1593|2022-06-23|
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|18|[gedeck/practical-statistics-for-data-scientists](https://github.com/gedeck/practical-statistics-for-data-scientists)|Code repository for O'Reilly book|1310|2022-04-27|
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|19|[Baiyuetribe/paper2gui](https://github.com/Baiyuetribe/paper2gui)|Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术|1275|2022-07-04|
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|20|[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. ...|1247|2022-06-21|
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|21|[luwill/Machine_Learning_Code_Implementation](https://github.com/luwill/Machine_Learning_Code_Implementation)|Mathematical derivation and pure Python code implementation of machine learning algorithms.|1223|2022-06-28|
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|22|[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。|1147|2022-03-16|
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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）|1095|2022-07-08|
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|24|[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|905|2022-05-12|
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|25|[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|892|2022-07-08|
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|26|[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|861|2022-07-30|
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|27|[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。|642|2022-04-27|
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|28|[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。|635|2022-02-23|
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|29|[openvinotoolkit/openvino_notebooks](https://github.com/openvinotoolkit/openvino_notebooks)|📚 A collection of Jupyter notebooks for learning and experimenting with OpenVINO 👓|629|2022-05-12|
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|30|[ga642381/ML2021-Spring](https://github.com/ga642381/ML2021-Spring)|**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2021 Spring|547|2022-07-26|
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|31|[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）|476|2022-06-29|
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|32|[xinychen/latex-cookbook](https://github.com/xinychen/latex-cookbook)|LaTeX论文写作教程 (中文版)|471|2022-05-18|
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|33|[bobo0810/PytorchNetHub](https://github.com/bobo0810/PytorchNetHub)|项目注释+论文复现+算法竞赛+Pytorch指北|427|2022-05-05|
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|34|[evanzd/ICLR2021-OpenReviewData](https://github.com/evanzd/ICLR2021-OpenReviewData)|Crawl & visualize ICLR papers and reviews.|415|2022-04-21|
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|35|[virginiakm1988/ML2022-Spring](https://github.com/virginiakm1988/ML2022-Spring)|**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring|376|2022-05-05|
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|36|[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。|373|2022-06-27|
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|37|[LiuChuang0059/Complex-Network](https://github.com/LiuChuang0059/Complex-Network)|复杂网络研究资源整理和基础知识学习|366|2022-04-11|
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|38|[liuhuanshuo/zaoqi-Python](https://github.com/liuhuanshuo/zaoqi-Python)|公众号：早起Python|320|2022-02-07|
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|39|[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|259|2022-04-19|
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|40|[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！ |199|2022-05-06|
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|41|[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|188|2022-04-06|
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|42|[microsoft/AIforEarthDataSets](https://github.com/microsoft/AIforEarthDataSets)|Notebooks and documentation for AI-for-Earth-managed datasets on Azure|185|2022-05-04|
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|43|[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...）|177|2022-03-14|
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|44|[GiantPandaCV/yolov3-point](https://github.com/GiantPandaCV/yolov3-point)|从零开始学习YOLOv3代码|175|2022-03-14|
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|45|[sijichun/MathStatsCode](https://github.com/sijichun/MathStatsCode)|Codes for my mathematical statistics course|156|2022-05-04|
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|46|[beiciliang/intro2musictech](https://github.com/beiciliang/intro2musictech)|公众号“无痛入门音乐科技”开源代码|139|2022-06-21|
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|47|[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|132|2022-03-06|
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|48|[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 : )|119|2022-03-07|
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|49|[zhangjunhd/reading-notes](https://github.com/zhangjunhd/reading-notes)|张俊的读书笔记|118|2022-05-15|
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|50|[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）|108|2022-05-04|
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|51|[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。|104|2022-05-07|
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|52|[0809zheng/CS231n-assignment2019](https://github.com/0809zheng/CS231n-assignment2019)|CS231n 2019年春季学期课程作业|104|2022-04-06|
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|53|[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|97|2022-06-21|
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|54|[FroyoZzz/CV-Papers-Codes](https://github.com/FroyoZzz/CV-Papers-Codes)|CV 方向论文阅读以及手写代码实现|95|2022-04-20|
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|55|[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|92|2022-04-22|
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|56|[batermj/data_sciences_campaign](https://github.com/batermj/data_sciences_campaign)|【数据科学家系列课程】|87|2022-08-02|
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|57|[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|84|2022-06-22|
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|58|[zhangjx831/Data-Science-Notes](https://github.com/zhangjx831/Data-Science-Notes)|数据科学与机器学习炼成笔记|81|2022-05-14|
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|59|[lululxvi/tutorials](https://github.com/lululxvi/tutorials)|Tutorials on deep learning, Python, and dissipative particle dynamics|81|2022-07-17|
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|60|[China-ChallengeHub/ChallengeHub-Baselines](https://github.com/China-ChallengeHub/ChallengeHub-Baselines)|ChallengeHub开源的各大比赛baseline集合|79|2022-03-12|
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|61|[775269512/WHUT_CUMCM20](https://github.com/775269512/WHUT_CUMCM20)|武汉理工大学2020数学建模国赛国二/美赛国二/数维杯国一/亚太国二/校内集训/优秀论文等资料|79|2022-05-02|
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|62|[fanfansann/fanfan-deep-learning-note](https://github.com/fanfansann/fanfan-deep-learning-note)|《繁凡的深度学习笔记》代码、PDF文件仓库|77|2022-02-15|
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|63|[newaetech/chipwhisperer-jupyter](https://github.com/newaetech/chipwhisperer-jupyter)|Interactive ChipWhisperer tutorials using Jupyter notebooks.|69|2022-05-11|
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|64|[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.|68|2022-07-26|
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|65|[fry404006308/fry_course_materials](https://github.com/fry404006308/fry_course_materials)|范仁义录播课资料，会依次推出各种完全免费的前端、后端、大数据、人工智能等课程，课程网站： https://fanrenyi.com ； b站课程地址： https://space.bilibili.com/45664489 ；|68|2022-05-03|
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|66|[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。|63|2022-03-11|
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|67|[afunTW/Python-Crawling-Tutorial](https://github.com/afunTW/Python-Crawling-Tutorial)|Python crawling tutorial|60|2022-07-29|
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|68|[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）|59|2022-06-22|
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|69|[AccumulateMore/CPlusPlus](https://github.com/AccumulateMore/CPlusPlus)|最全面的 C++ 笔记|56|2022-07-23|
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|70|[SocratesAcademy/css](https://github.com/SocratesAcademy/css)|《计算社会科学》课程|53|2022-07-23|
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|71|[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: + 深度学习 🍥|52|2022-06-28|
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|72|[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|2022-02-27|
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|73|[xieliaing/CausalInferenceIntro](https://github.com/xieliaing/CausalInferenceIntro)|Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure|48|2022-04-16|
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|74|[lqhou/TensorFlow2.0-Book](https://github.com/lqhou/TensorFlow2.0-Book)|《TensorFlow从零开始学》配书代码和资源|47|2022-03-07|
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|75|[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|45|2022-03-08|
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|76|[hululuzhu/chinese-ai-writing-share](https://github.com/hululuzhu/chinese-ai-writing-share)|中文AI写作共享（监督学习和迁移学习来写诗或对对子）|44|2022-06-22|
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|77|[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|43|2022-05-26|
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|78|[MachineLP/Spark-](https://github.com/MachineLP/Spark-)|Spark学习笔记|42|2022-02-11|
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|79|[datawhalechina/hands-dirty-nlp](https://github.com/datawhalechina/hands-dirty-nlp)|本课程面对具有一定机器学习基础，但尚未入门的NLPer或经验尚浅的NLPer，尽力避免陷入繁琐枯燥的公式讲解中，力求用代码展示每个模型背后的设计思想，同时也会带大家梳理每个模块下的技术演变，做到既知树木也知森林。|41|2022-02-19|
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|80|[zui0711/Z-Lab](https://github.com/zui0711/Z-Lab)|Z Lab数据实验室开源代码汇总|39|2022-06-26|
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|81|[zhiyu1998/Computer-Science-Learn-Notes](https://github.com/zhiyu1998/Computer-Science-Learn-Notes)|CS（Computer Science）生涯学习/读书笔记，包含：Java八股文、J2SE、JVM、JUC、前端、Spring系列、Python、Golang、深度学习、数据结构和算法等|39|2022-05-12|
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|82|[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|39|2022-03-29|
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|83|[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|2022-07-29|
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|84|[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. |39|2022-03-10|
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|85|[Zhouxiaonnan/machine-learning-notesandcode](https://github.com/Zhouxiaonnan/machine-learning-notesandcode)|机器学习学习笔记和代码|38|2022-03-02|
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|86|[jcchan23/CoMPT](https://github.com/jcchan23/CoMPT)|Code of our IJCAI2021 paper: "Learning Attributed Graph Representation with Communicative Message Passing Transformer"|35|2022-03-19|
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|87|[mindspore-ai/course](https://github.com/mindspore-ai/course)|MindSpore course|34|2022-02-27|
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|88|[PegasusWang/notebooks](https://github.com/PegasusWang/notebooks)|My jupyter notebooks。使用 Jupyter python markdown 制作分享 ppt|33|2022-04-25|
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|89|[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 |32|2022-06-21|
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|90|[bcaso/Computer-Science-Whitelist](https://github.com/bcaso/Computer-Science-Whitelist)|Google 搜索结果中垃圾站点越来越多，于是这个白名单就这么出来了。|31|2022-07-25|
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|91|[somenzz/tutorial](https://github.com/somenzz/tutorial)|实用的关于 Python 的微教程，动画展示。Useful tutorial on Python.|31|2022-03-18|
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|92|[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|2022-04-06|
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|93|[WayneDW/Contour-Stochastic-Gradient-Langevin-Dynamics](https://github.com/WayneDW/Contour-Stochastic-Gradient-Langevin-Dynamics)|An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)|28|2022-05-20|
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|94|[zyth0s/SciAlgs.jl](https://github.com/zyth0s/SciAlgs.jl)|Fundamental scientific algorithms in Julia|27|2022-03-31|
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|95|[SocratesAcademy/ccbook](https://github.com/SocratesAcademy/ccbook)|Elements of Computational Communication 《计算传播基础》|27|2022-07-22|
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|96|[liangruibupt/aws-is-how](https://github.com/liangruibupt/aws-is-how)|Know How Guide and Hands on Guide for AWS|25|2022-05-11|
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|97|[Yu-Xiaoxian/probabilistic_robotics_exercises](https://github.com/Yu-Xiaoxian/probabilistic_robotics_exercises)|《概率机器人》课后习题详解。Detailed Solutions for exercises of book "Probabilistic Robotics" in both English & Chinese. |24|2022-04-27|
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|98|[realyanyang/disambiguation](https://github.com/realyanyang/disambiguation)|OAG-WhoIsWho 赛道二 代码分享|24|2022-06-21|
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|99|[chinobing/QuantInvest](https://github.com/chinobing/QuantInvest)|cnvar.cn及个人微信公众号【QuantInvest】里面提及的编程代码, 对股票各种研究和折腾分析A股市场的各种现象和投资机会，涉及编程、股票模型、分析研究、杂谈等，代码是python，以jupyter notebook展示。|22|2022-03-16|
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||
|100|[dmarx/anthology-of-modern-ml](https://github.com/dmarx/anthology-of-modern-ml)|Collection of important articles to be treated as a textbook|21|2022-04-12|
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|101|[lvyufeng/d2l-mindspore](https://github.com/lvyufeng/d2l-mindspore)|《动手学深度学习》的MindSpore实现。供MindSpore学习者配合李沐老师课程使用。|20|2022-02-02|
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|102|[zzy99/competition-solutions](https://github.com/zzy99/competition-solutions)|我的数据竞赛方案总结|20|2022-05-06|
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|103|[JULIELab/MEmoLon](https://github.com/JULIELab/MEmoLon)|Repository for our ACL 2020 paper "Learning and Evaluating Emotion Lexicons for 91 Languages"|20|2022-04-06|
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||
|104|[wybert/open-wuhan-ncov-illness-data](https://github.com/wybert/open-wuhan-ncov-illness-data)|这个项目有关有关 武汉肺炎 2019-ncov的相关病例数据的分享。从gitlab迁移过来。发布页这里|20|2022-03-30|
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|105|[DLonng/AI-Notes](https://github.com/DLonng/AI-Notes)|分享自己研究生阶段学习的 AI 技术，持续更新|19|2022-04-21|
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|106|[hanzhenlei767/NLP_Learn](https://github.com/hanzhenlei767/NLP_Learn)|NLP学习笔记-前沿追踪|19|2022-02-10|
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|107|[xiaomeng79/learning_notes](https://github.com/xiaomeng79/learning_notes)|学习笔记|19|2022-05-07|
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|108|[raymondlo84/openvino-paddlepaddle-demo](https://github.com/raymondlo84/openvino-paddlepaddle-demo)|This repository provides examples of PaddlePaddle and OpenVINO integration. |17|2022-03-15|
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|109|[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）|17|2022-07-29|
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|110|[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|17|2022-06-22|
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|111|[ForeverHaibara/Fudan-Courses](https://github.com/ForeverHaibara/Fudan-Courses)|Personal Notes for Courses in School of Data Science, Fudan University. 复旦大学数据科学与大数据技术专业（复旦大数据）学习笔记。|16|2022-07-22|
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|112|[NjtechCVLab/Level_1](https://github.com/NjtechCVLab/Level_1)|入门资料|16|2022-07-25|
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|113|[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。|16|2022-04-27|
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|114|[wanghao15536870732/StudyNotes](https://github.com/wanghao15536870732/StudyNotes)|📖 学习笔记|16|2022-07-29|
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|115|[fire717/Python-Toolkit](https://github.com/fire717/Python-Toolkit)|轮子/ 常用库/ 书籍笔记/ 小程序|16|2022-04-15|
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|116|[Dreaming-future/Pytorch-Image-Classification](https://github.com/Dreaming-future/Pytorch-Image-Classification)|用于pytorch的图像分类，包含多种模型方法，比如AlexNet，VGG，GoogleNet，ResNet，DenseNet等等，包含可完整运行的代码。除此之外，也有colab的在线运行代码，可以直接在colab在线运行查看结果。也可以迁移到自己的数据集进行迁移学习。|15|2022-05-09|
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|117|[chenxingphh/python_grammar](https://github.com/chenxingphh/python_grammar)|Python的基础语法学习|15|2022-05-14|
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|118|[rwepa/DataDemo](https://github.com/rwepa/DataDemo)|提供資料集與範例分享.|15|2022-08-02|
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|119|[Relph1119/Pytorch-Camp](https://github.com/Relph1119/Pytorch-Camp)|深度之眼《Pytorch框架训练营》|15|2022-04-06|
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|120|[lyj555/SelfLearning](https://github.com/lyj555/SelfLearning)|该项目主要是自学过程中对于一些知识点的整理，项目整体分为四部分，分别是算法、工程、工具和数学知识。算法部分主要是常用的机器学习（LR、SVM、树模型、XGBoost、LightGBM和CatBoost等）和深度学习算法（NLP和CV以及一些基础知识），工程部分主要是spark和hive|15|2022-03-25|
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|121|[rice0208/calculus](https://github.com/rice0208/calculus)|一篇可能不求甚解，但是初中生也能看懂的微积分教程。|14|2022-04-04|
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|122|[AccumulateMore/Python](https://github.com/AccumulateMore/Python)|最全面的 Python 笔记|14|2022-05-07|
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|123|[Relph1119/my-team-learning](https://github.com/Relph1119/my-team-learning)|我的Datawhale组队学习，在线阅读地址：https://relph1119.github.io/my-team-learning|14|2022-05-13|
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|124|[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|14|2022-06-22|
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|125|[evenchange4/nextjs-tfjs-cnn](https://github.com/evenchange4/nextjs-tfjs-cnn)|🐕 🐈 Classifier using Keras VGG16 transfer learning with kaggle dataset.|14|2022-06-18|
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|126|[IKMLab/course_material](https://github.com/IKMLab/course_material)|上課教材的大集合！！！|14|2022-04-06|
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|127|[EasonQYS/fastpagesJupyter](https://github.com/EasonQYS/fastpagesJupyter)|汉化中文fastpages，能够上传Jupyter的博客网站 A Chinese version of fastpages|13|2022-04-12|
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|128|[Valuebai/learn-NLP-luhuibo](https://github.com/Valuebai/learn-NLP-luhuibo)|记录学习NLP之路，一起加油|13|2022-06-21|
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|129|[Hourout/tensorview](https://github.com/Hourout/tensorview)|Dynamic visualization training service in Jupyter Notebook for Keras, tf.keras and others.|13|2022-03-22|
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||
|130|[AccumulateMore/CV](https://github.com/AccumulateMore/CV)|最全面的 CV 笔记|12|2022-07-31|
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||
|131|[yaoweizhang/LHY2022-SPRING](https://github.com/yaoweizhang/LHY2022-SPRING)|李宏毅（Hung-yi Lee) 2022年春季机器学习课程，包括课件和作业，|12|2022-06-14|
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|132|[peanutzhen/JnuCS](https://github.com/peanutzhen/JnuCS)|⚡️暨南大学计算机系课程设计/作业/实验资源|11|2022-07-25|
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|133|[JackonYang/hands-on-deep-learning-using-tensorflow-2.0](https://github.com/JackonYang/hands-on-deep-learning-using-tensorflow-2.0)|重读 CNN 网络的经典论文，并用 tensorflow 2.0 手撸一遍经典模型，感受一下实测数据|10|2022-06-22|
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||
|134|[qiwsir/MML](https://github.com/qiwsir/MML)|《机器学习数学基础》源码|9|2022-07-15|
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||
|135|[W-caner/ML_class](https://github.com/W-caner/ML_class)|学堂在线《机器学习》实验课by张敏老师|9|2022-07-30|
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||
|136|[JunyaoHu/CUMT_StudyFiles](https://github.com/JunyaoHu/CUMT_StudyFiles)|本科课程资料|9|2022-07-09|
|
||
|137|[jaheel/Deep_Learning](https://github.com/jaheel/Deep_Learning)|深度学习领域论文翻译+理解|9|2022-02-25|
|
||
|138|[LinglingGreat/StudySum](https://github.com/LinglingGreat/StudySum)|学习过程中的笔记梳理与总结|9|2022-08-02|
|
||
|139|[shujunge/Pytorch_Tutorial](https://github.com/shujunge/Pytorch_Tutorial)|Pytorch教程|9|2022-03-22|
|
||
|140|[usstroot/notebook](https://github.com/usstroot/notebook)|学习笔记|9|2022-06-21|
|
||
|141|[Ayusummer/DailyNotes](https://github.com/Ayusummer/DailyNotes)|日常学习记录|4|2022-08-01|
|
||
|142|[zkcpku/cs231n_homework](https://github.com/zkcpku/cs231n_homework)|cs231n作业笔记|4|2022-07-06|
|
||
|143|[shenhao-stu/CS224W-Fall2021](https://github.com/shenhao-stu/CS224W-Fall2021)|🌟🌟CS224W Fall 2021 Stanford 的个人学习路线🌟🌟|3|2022-06-10|
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<div align="center">
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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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