|
|
<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: 2022-01-17 / 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|1511|2021-12-20|2021-02-28|
|
|
|
|2|[Charmve/computer-vision-in-action](https://github.com/Charmve/computer-vision-in-action)|闭环学习《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|1283|2022-01-11|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）|866|2021-12-10|2021-03-21|
|
|
|
|4|[openvinotoolkit/openvino_notebooks](https://github.com/openvinotoolkit/openvino_notebooks)|📚 A collection of Jupyter notebooks for learning and experimenting with OpenVINO 👓|505|2022-01-14|2021-03-11|
|
|
|
|5|[d2l-ai/courses-zh-v2](https://github.com/d2l-ai/courses-zh-v2)|中文版 v2 课程|236|2021-09-14|2021-01-26|
|
|
|
|6|[xinychen/latex-cookbook](https://github.com/xinychen/latex-cookbook)|LaTeX论文写作教程 (中文版)|209|2022-01-14|2021-03-29|
|
|
|
|7|[microsoft/AIforEarthDataSets](https://github.com/microsoft/AIforEarthDataSets)|Notebooks and documentation for AI-for-Earth-managed datasets on Azure|171|2022-01-07|2021-02-18|
|
|
|
|8|[liuhuanshuo/Pandas_Advanced_Exercise](https://github.com/liuhuanshuo/Pandas_Advanced_Exercise)|Pandas进阶修炼300题|150|2021-09-22|2021-09-22|
|
|
|
|9|[datawhalechina/machine-learning-toy-code](https://github.com/datawhalechina/machine-learning-toy-code)|《机器学习》（西瓜书）代码实战|125|2022-01-04|2021-07-16|
|
|
|
|10|[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 : )|95|2022-01-12|2021-02-19|
|
|
|
|11|[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|90|2021-09-23|2021-07-02|
|
|
|
|12|[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。|68|2021-10-21|2021-08-06|
|
|
|
|13|[skywateryang/timeseries101](https://github.com/skywateryang/timeseries101)|本教程独立网站已上线|54|2021-12-28|2021-06-11|
|
|
|
|14|[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|52|2021-07-29|2021-05-17|
|
|
|
|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|51|2021-12-29|2021-03-30|
|
|
|
|16|[ssssww0905/-PyTorch-](https://github.com/ssssww0905/-PyTorch-)|【PyTorch】手把手教你跑通第一个神经网络|50|2022-01-03|2021-11-19|
|
|
|
|17|[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）|45|2022-01-10|2021-01-17|
|
|
|
|18|[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|
|
|
|
|19|[LaoGong-zp/Transformer](https://github.com/LaoGong-zp/Transformer)| Learning materials of Transformer, including my code, XMind, PDF and so on|38|2021-09-28|2021-09-24|
|
|
|
|20|[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|37|2021-12-05|2021-10-16|
|
|
|
|21|[jcchan23/CoMPT](https://github.com/jcchan23/CoMPT)|Code of our IJCAI2021 paper: "Learning Attributed Graph Representation with Communicative Message Passing Transformer"|33|2021-09-08|2021-02-03|
|
|
|
|22|[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。|27|2021-11-20|2021-01-25|
|
|
|
|23|[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|
|
|
|
|24|[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|19|2022-01-16|2021-11-07|
|
|
|
|25|[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|
|
|
|
|26|[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|16|2021-09-17|2021-06-27|
|
|
|
|27|[whyAndBetter/python_grammar](https://github.com/whyAndBetter/python_grammar)|Python的基础语法学习|15|2022-01-09|2021-08-29|
|
|
|
|28|[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|2021-10-21|2021-05-22|
|
|
|
|29|[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|2021-09-15|2021-09-15|
|
|
|
|30|[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|2021-08-26|2021-08-26|
|
|
|
|
|
|
<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>
|