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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>
# 中文新秀榜 > 资料类 > Jupyter Notebook
<sub>数据更新: 2022-02-16&nbsp;&nbsp;&nbsp;/&nbsp;&nbsp;&nbsp;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>
<sub>数据更新: 2022-02-17&nbsp;&nbsp;&nbsp;/&nbsp;&nbsp;&nbsp;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|Created|
|:-|:-|:-|:-|:-|:-|
|1|[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|1673|2022-02-05|2021-02-28|
|1|[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|1679|2022-02-05|2021-02-28|
|2|[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|1297|2022-02-09|2021-04-29|
|3|[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）|922|2022-02-12|2021-03-21|
|4|[openvinotoolkit/openvino_notebooks](https://github.com/openvinotoolkit/openvino_notebooks)|📚 A collection of Jupyter notebooks for learning and experimenting with OpenVINO 👓|532|2022-02-15|2021-03-11|
|5|[xinychen/latex-cookbook](https://github.com/xinychen/latex-cookbook)|LaTeX论文写作教程 (中文版)|223|2022-02-14|2021-03-29|
|4|[openvinotoolkit/openvino_notebooks](https://github.com/openvinotoolkit/openvino_notebooks)|📚 A collection of Jupyter notebooks for learning and experimenting with OpenVINO 👓|535|2022-02-16|2021-03-11|
|5|[xinychen/latex-cookbook](https://github.com/xinychen/latex-cookbook)|LaTeX论文写作教程 (中文版)|224|2022-02-14|2021-03-29|
|6|[microsoft/AIforEarthDataSets](https://github.com/microsoft/AIforEarthDataSets)|Notebooks and documentation for AI-for-Earth-managed datasets on Azure|174|2022-01-07|2021-02-18|
|7|[liuhuanshuo/Pandas_Advanced_Exercise](https://github.com/liuhuanshuo/Pandas_Advanced_Exercise)|Pandas进阶修炼300题|160|2021-09-22|2021-09-22|
|8|[datawhalechina/machine-learning-toy-code](https://github.com/datawhalechina/machine-learning-toy-code)|《机器学习》（西瓜书）代码实战|132|2022-01-04|2021-07-16|
|7|[liuhuanshuo/Pandas_Advanced_Exercise](https://github.com/liuhuanshuo/Pandas_Advanced_Exercise)|Pandas进阶修炼300题|161|2021-09-22|2021-09-22|
|8|[datawhalechina/machine-learning-toy-code](https://github.com/datawhalechina/machine-learning-toy-code)|《机器学习》（西瓜书）代码实战|133|2022-01-04|2021-07-16|
|9|[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 : )|102|2022-01-22|2021-02-19|
|10|[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|92|2021-09-23|2021-07-02|
|11|[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。|73|2021-10-21|2021-08-06|
@ -20,12 +20,12 @@
|13|[ssssww0905/-PyTorch-](https://github.com/ssssww0905/-PyTorch-)|【PyTorch】手把手教你跑通第一个神经网络|54|2022-01-03|2021-11-19|
|14|[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|54|2022-02-15|2021-10-20|
|15|[zhangjx831/Data-Science-Notes](https://github.com/zhangjx831/Data-Science-Notes)|数据科学与机器学习炼成笔记|54|2022-01-29|2021-03-30|
|16|[LaoGong-zp/Transformer](https://github.com/LaoGong-zp/Transformer)| Learning materials of Transformer, including my code, XMind, PDF and so on|47|2021-09-28|2021-09-24|
|16|[LaoGong-zp/Transformer](https://github.com/LaoGong-zp/Transformer)| Learning materials of Transformer, including my code, XMind, PDF and so on|48|2021-09-28|2021-09-24|
|17|[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)|41|2021-11-05|2021-09-17|
|18|[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|39|2021-12-05|2021-10-16|
|19|[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|25|2022-02-13|2021-11-07|
|20|[dmarx/anthology-of-modern-ml](https://github.com/dmarx/anthology-of-modern-ml)|Collection of important articles to be treated as a textbook|20|2022-01-14|2021-07-14|
|21|[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|18|2021-09-17|2021-06-27|
|21|[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|19|2021-09-17|2021-06-27|
|22|[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）|18|2022-02-11|2021-06-15|
|23|[zzy99/competition-solutions](https://github.com/zzy99/competition-solutions)|我的数据竞赛方案总结|17|2021-11-16|2021-06-19|
|24|[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。|16|2022-02-02|2021-10-28|