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# 中文总榜 > 资料类 > Jupyter Notebook
<sub>数据更新: 2023-12-25&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|
|:-|:-|:-|:-|:-|
|1|[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|20653|2023-12-22|
|2|[fastai/fastbook](https://github.com/fastai/fastbook)|The fastai book, published as Jupyter Notebooks|19872|2023-12-07|
|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|19118|2023-08-02|
|4|[fengdu78/lihang-code](https://github.com/fengdu78/lihang-code)|《统计学习方法》的代码实现|18047|2023-08-22|
|5|[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). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸|14644|2023-09-07|
|6|[selfteaching/the-craft-of-selfteaching](https://github.com/selfteaching/the-craft-of-selfteaching)|One has no future if one couldn't teach themself.|14597|2023-12-01|
|7|[chenyuntc/pytorch-book](https://github.com/chenyuntc/pytorch-book)|PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)|11406|2023-12-24|
|8|[yidao620c/python3-cookbook](https://github.com/yidao620c/python3-cookbook)|《Python Cookbook》 3rd Edition Translation|11236|2023-07-31|
|9|[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|9031|2023-07-29|
|10|[apachecn/Interview](https://github.com/apachecn/Interview)|Interview = 简历指南 + 算法题 + 八股文 + 源码分析|8404|2023-10-20|
|11|[datawhalechina/easy-rl](https://github.com/datawhalechina/easy-rl)|强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/|7534|2023-12-12|
|12|[datawhalechina/prompt-engineering-for-developers](https://github.com/datawhalechina/prompt-engineering-for-developers)|面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版|7477|2023-12-13|
|13|[datawhalechina/joyful-pandas](https://github.com/datawhalechina/joyful-pandas)|pandas中文教程|4134|2023-10-16|
|14|[zlotus/notes-linear-algebra](https://github.com/zlotus/notes-linear-algebra)|线性代数笔记|3183|2023-09-17|
|15|[huggingface/diffusion-models-class](https://github.com/huggingface/diffusion-models-class)|Materials for the Hugging Face Diffusion Models Course|2892|2023-12-18|
|16|[williamyang1991/Rerender_A_Video](https://github.com/williamyang1991/Rerender_A_Video)|[SIGGRAPH Asia 2023] Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation|2737|2023-11-10|
|17|[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、ML、DL、NLP-BERT、竞赛。含大量注释及数据集，力求每一位能看懂并复现。|2732|2023-10-12|
|18|[Visualize-ML/Book1_Python-For-Beginners](https://github.com/Visualize-ML/Book1_Python-For-Beginners)|Book_1_《编程不难》   鸢尾花书：从加减乘除到机器学习；请多多批评指正！|2618|2023-12-10|
|19|[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|2617|2023-07-26|
|20|[liguodongiot/llm-action](https://github.com/liguodongiot/llm-action)|本项目旨在分享大模型相关技术原理以及实战经验。|2447|2023-12-22|
|21|[jm199504/Financial-Knowledge-Graphs](https://github.com/jm199504/Financial-Knowledge-Graphs)|小型金融知识图谱构建流程|2440|2023-11-02|
|22|[AccumulateMore/CV](https://github.com/AccumulateMore/CV)|✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】|2401|2023-12-18|
|23|[gedeck/practical-statistics-for-data-scientists](https://github.com/gedeck/practical-statistics-for-data-scientists)|Code repository for O'Reilly book|2292|2023-12-13|
|24|[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。|2290|2023-11-30|
|25|[Visualize-ML/Book5_Essentials-of-Probability-and-Statistics](https://github.com/Visualize-ML/Book5_Essentials-of-Probability-and-Statistics)|Book_5_《统计至简》     鸢尾花书：从加减乘除到机器学习；上架！|1902|2023-12-10|
|26|[Visualize-ML/Book2_Beauty-of-Data-Visualization](https://github.com/Visualize-ML/Book2_Beauty-of-Data-Visualization)|Book_2_《可视之美》     鸢尾花书：从加减乘除到机器学习，欢迎批评指正|1719|2023-12-10|
|27|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/|1698|2023-12-20|
|28|[openvinotoolkit/openvino_notebooks](https://github.com/openvinotoolkit/openvino_notebooks)|📚 Jupyter notebook tutorials for OpenVINO™|1661|2023-12-24|
|29|[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）|1589|2023-11-19|
|30|[Visualize-ML/Book7_Visualizations-for-Machine-Learning](https://github.com/Visualize-ML/Book7_Visualizations-for-Machine-Learning)|Book_7_《机器学习》     鸢尾花书：从加减乘除到机器学习；正在修改|1480|2023-12-10|
|31|[luwill/Machine_Learning_Code_Implementation](https://github.com/luwill/Machine_Learning_Code_Implementation)|Mathematical derivation and pure Python code implementation of machine learning algorithms.|1470|2023-10-16|
|32|[datawhalechina/statistical-learning-method-solutions-manual](https://github.com/datawhalechina/statistical-learning-method-solutions-manual)|统计学习方法习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual|1465|2023-10-04|
|33|[EgoAlpha/prompt-in-context-learning](https://github.com/EgoAlpha/prompt-in-context-learning)|Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.|1189|2023-12-22|
|34|[xinychen/latex-cookbook](https://github.com/xinychen/latex-cookbook)|LaTeX论文写作教程 (中文版)|1147|2023-11-21|
|35|[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|1140|2023-12-10|
|36|[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|967|2023-07-20|
|37|[TradeMaster-NTU/TradeMaster](https://github.com/TradeMaster-NTU/TradeMaster)|TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:|929|2023-12-03|
|38|[unit-mesh/unit-minions](https://github.com/unit-mesh/unit-minions)|《AI 研发提效研究：自己动手训练 LoRA》，包含 Llama  （Alpaca LoRA）模型、ChatGLM （ChatGLM Tuning）相关 Lora 的训练。训练内容：用户故事生成、测试代码生成、代码辅助生成、文本转 SQL、文本生成代码……|893|2023-09-01|
|39|[open-mmlab/OpenMMLabCourse](https://github.com/open-mmlab/OpenMMLabCourse)|OpenMMLab course index and stuff|825|2023-09-01|
|40|[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。|781|2023-11-17|
|41|[loveunk/machine-learning-deep-learning-notes](https://github.com/loveunk/machine-learning-deep-learning-notes)|机器学习、深度学习的学习路径及知识总结|759|2023-12-24|
|42|[MorvanZhou/easy-scraping-tutorial](https://github.com/MorvanZhou/easy-scraping-tutorial)|Simple but useful Python web scraping tutorial code. |743|2023-07-26|
|43|[ga642381/ML2021-Spring](https://github.com/ga642381/ML2021-Spring)|**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2021 Spring|732|2023-11-09|
|44|[zyds/transformers-code](https://github.com/zyds/transformers-code)|手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube|634|2023-11-18|
|45|[AI4Finance-Foundation/FinRL-Tutorials](https://github.com/AI4Finance-Foundation/FinRL-Tutorials)|Tutorials. Please star. |625|2023-12-11|
|46|[SMILELab-FL/FedLab](https://github.com/SMILELab-FL/FedLab)|A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.|598|2023-12-09|
|47|[analyticalmindsltd/smote_variants](https://github.com/analyticalmindsltd/smote_variants)|A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features|561|2023-12-19|
|48|[datawhalechina/llm-universe](https://github.com/datawhalechina/llm-universe)|本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/|547|2023-12-21|
|49|[bobo0810/PytorchNetHub](https://github.com/bobo0810/PytorchNetHub)|项目注释+论文复现+算法竞赛+Pytorch实践|546|2023-09-13|
|50|[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  ；|461|2023-09-25|
|51|[NJUPTFreeExams/NJUPT-General-Free-Exams](https://github.com/NJUPTFreeExams/NJUPT-General-Free-Exams)|南京邮电大学通识课程历年资料。|442|2023-12-24|
|52|[AccumulateMore/CPlusPlus](https://github.com/AccumulateMore/CPlusPlus)|✔（已完结）最全面的 C++ 笔记 【黑马程序员】|360|2023-09-27|
|53|[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|348|2023-08-27|
|54|[AccumulateMore/OpenCV](https://github.com/AccumulateMore/OpenCV)|✔（已完结）最全面的 OpenCV 笔记【咕泡唐宇迪】|343|2023-09-27|
|55|[HuangCongQing/3D-Point-Clouds](https://github.com/HuangCongQing/3D-Point-Clouds)|🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等|321|2023-08-04|
|56|[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|301|2023-11-25|
|57|[dmarx/anthology-of-modern-ml](https://github.com/dmarx/anthology-of-modern-ml)|Collection of important articles to be treated as a textbook|290|2023-12-14|
|58|[microsoft/AIforEarthDataSets](https://github.com/microsoft/AIforEarthDataSets)|Notebooks and documentation for AI-for-Earth-managed datasets on Azure|257|2023-11-29|
|59|[wanZzz6/Modules-Learn](https://github.com/wanZzz6/Modules-Learn)|学习笔记 - 码云：https://gitee.com/wanzheng_96/Modules-Learn）|257|2023-11-01|
|60|[zhangjunhd/reading-notes](https://github.com/zhangjunhd/reading-notes)|张俊的读书笔记|257|2023-12-16|
|61|[yunwei37/Prompt-Engineering-Guide-zh-CN](https://github.com/yunwei37/Prompt-Engineering-Guide-zh-CN)|🐙 关于提示词工程（prompt）的指南、论文、讲座、笔记本和资源大全（自动持续更新）|255|2023-10-25|
|62|[sangyx/gtrick](https://github.com/sangyx/gtrick)|Bag of Tricks for Graph Neural Networks.|255|2023-10-23|
|63|[AccumulateMore/Python](https://github.com/AccumulateMore/Python)|✔（已完结）最全面的 Python 笔记【马士兵教育】|241|2023-09-27|
|64|[KMnO4-zx/huanhuan-chat](https://github.com/KMnO4-zx/huanhuan-chat)|Chat-甄嬛是利用《甄嬛传》剧本中所有关于甄嬛的台词和语句，基于ChatGLM2进行LoRA微调得到的模仿甄嬛语气的聊天语言模型。|203|2023-11-18|
|65|[skywateryang/timeseries101](https://github.com/skywateryang/timeseries101)|本教程独立网站已上线|182|2023-06-26|
|66|[newaetech/chipwhisperer-jupyter](https://github.com/newaetech/chipwhisperer-jupyter)|Interactive ChipWhisperer tutorials using Jupyter notebooks.|173|2023-12-12|
|67|[sijichun/MathStatsCode](https://github.com/sijichun/MathStatsCode)|Codes for my mathematical statistics course|167|2023-12-17|
|68|[johnjim0816/rl-tutorials](https://github.com/johnjim0816/rl-tutorials)|basic algorithms of reinforcement learning|164|2023-08-23|
|69|[beiciliang/intro2musictech](https://github.com/beiciliang/intro2musictech)|公众号“无痛入门音乐科技”开源代码|164|2023-07-06|
|70|[zui0711/Z-Lab](https://github.com/zui0711/Z-Lab)|Z Lab数据实验室开源代码汇总|157|2023-10-28|
|71|[datawhalechina/d2l-ai-solutions-manual](https://github.com/datawhalechina/d2l-ai-solutions-manual)|《动手学深度学习》习题解答，在线阅读地址如下：|154|2023-12-22|
|72|[zju-isee/zju-isee](https://github.com/zju-isee/zju-isee)|浙江大学电子科学与技术专业部分课程仓库|149|2023-12-05|
|73|[LecterChu/nwpu-cram](https://github.com/LecterChu/nwpu-cram)|西北工业大学/西工大/nwpu/npu软件学院复习(突击)资料！！|131|2023-12-12|
|74|[youhuangla/Note](https://github.com/youhuangla/Note)|学习笔记|129|2023-09-12|
|75|[Kedreamix/Pytorch-Image-Classification](https://github.com/Kedreamix/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。|128|2023-12-07|
|76|[WTFAcademy/WTF-EVM-Opcodes](https://github.com/WTFAcademy/WTF-EVM-Opcodes)|Minimal tutorials for EVM Opcodes, building minimal evm in python from scratch. 以太坊的Opcodes（操作码）极简教程，使用python从零搭建EVM。|118|2023-11-28|
|77|[dream80/TonyColab](https://github.com/dream80/TonyColab)|Colab script collection for various amazing projects!                   各种牛逼项目的Colab脚本集合！|117|2023-12-16|
|78|[Robin-WZQ/BIT-AI-Review](https://github.com/Robin-WZQ/BIT-AI-Review)|本项目分享了本人在北京理工大学计算机学院人工智能专业的相关课程资料与经验分享。希望对你们有所帮助❤️，如果喜欢的话记得给个star哦🌟|108|2023-11-08|
|79|[WangRongsheng/Use-LLMs-in-Colab](https://github.com/WangRongsheng/Use-LLMs-in-Colab)|🤖 集合众多大模型在Colab上的使用   LLMs is all you need.|99|2023-11-06|
|80|[HugoBlox/theme-blog](https://github.com/HugoBlox/theme-blog)|📝 Hugo Academic Blog Theme. 轻松创建一个简约博客. No code, highly customizable using widgets.|94|2023-12-17|
|81|[batermj/data_sciences_campaign](https://github.com/batermj/data_sciences_campaign)|【数据科学家系列课程】|94|2023-12-24|
|82|[shellc/investing-for-coders](https://github.com/shellc/investing-for-coders)|这是一本写给程序员的投资入门书籍，借助代码和数据来帮助程序员了解投资的基本概念和技巧，以便更好地管理自己的财务和投资组合。|93|2023-07-03|
|83|[mindspore-courses/d2l-mindspore](https://github.com/mindspore-courses/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。|86|2023-09-08|
|84|[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）|85|2023-10-03|
|85|[2811668688/ZJU-CS](https://github.com/2811668688/ZJU-CS)|这里是我对浙江大学混合班CS的一些课程的资料整理，希望能给予看到的朋友一些帮助。|84|2023-11-06|
|86|[datawhalechina/self-llm](https://github.com/datawhalechina/self-llm)|《开源大模型食用指南》基于AutoDL快速部署开源大模型，更适合中国宝宝的部署教程|83|2023-12-20|
|87|[buluslee/DT-AI](https://github.com/buluslee/DT-AI)|这是DT-AI的学习路线开源版本，欢迎大家享用！--有问题的话可以扫码添加助教的微信或者请提交issue|80|2023-12-04|
|88|[neolee/wop](https://github.com/neolee/wop)|零基础编程思维与实践课程《欢迎进入编程世界》主站|73|2023-09-30|
|89|[WTFAcademy/WTF-zk](https://github.com/WTFAcademy/WTF-zk)|零知识证明入门教程。|70|2023-12-24|
|90|[XingYu-Zhong/LangChainStudy](https://github.com/XingYu-Zhong/LangChainStudy)|这个项目是一个Jupyter notebook的集合，专门用于学习和探索LangChain框架。|70|2023-12-22|
|91|[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。|65|2023-12-17|
|92|[zzy99/My-competition-solutions](https://github.com/zzy99/My-competition-solutions)|我的数据竞赛方案总结|63|2023-11-18|
|93|[ForeverHaibara/Fudan-Courses](https://github.com/ForeverHaibara/Fudan-Courses)|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。|61|2023-11-13|
|94|[DjangoPeng/LLM-quickstart](https://github.com/DjangoPeng/LLM-quickstart)|Quick Start for Large Language Models (Theoretical Learning and Practical Fine-tuning) 大语言模型快速入门（理论学习与微调实战）|60|2023-12-23|
|95|[BILI-AFAN/BILI-AFAN](https://github.com/BILI-AFAN/BILI-AFAN)|B站费曼区UP主BILI-AFAN的资料汇总|59|2023-08-13|
|96|[ScienceLi1125/CQU-Study](https://github.com/ScienceLi1125/CQU-Study)|重庆大学计算机学院学习资料|55|2023-12-11|
|97|[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|51|2023-08-29|
|98|[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. |51|2023-11-21|
|99|[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|50|2023-10-19|
|100|[Ifan24/GPT_subtitles](https://github.com/Ifan24/GPT_subtitles)|Download YouTube video (or supply your own) and generate dual languange subtitles with OpenAI Whisper and translation API (GPT)                                下载 YouTube 视频（或提供您自己的视频）并使用 Whisper 和翻译AP ...|48|2023-11-14|
|101|[IKMLab/course_material](https://github.com/IKMLab/course_material)|上課教材的大集合！！！|48|2023-11-14|
|102|[Hoper-J/HUNG-YI_LEE_Machine-Learning_Homework](https://github.com/Hoper-J/HUNG-YI_LEE_Machine-Learning_Homework)|李宏毅 (HUNG-YI LEE）机器学习作业思路代码分享|45|2023-11-19|
|103|[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。|44|2023-07-27|
|104|[yenlung/Python-AI-Book](https://github.com/yenlung/Python-AI-Book)|《少年Py的大冒險》第二集, 深度學習的入門!|43|2023-12-19|
|105|[qq31682216/chatgpt_all](https://github.com/qq31682216/chatgpt_all)|学习开源chatGPT类模型的指南，汇总各种训练数据获取、模型微调、模型服务的方法，以及记录自己操作总遇到的各种常见坑，欢迎收藏、转发，希望能帮你省一些时间|42|2023-10-05|
|106|[zziyifan/Medical-AI-learning-1](https://github.com/zziyifan/Medical-AI-learning-1)|医学AI-学习笔记 (Medical AI - Learning Notes)|39|2023-08-21|
|107|[shuliu586/AI_Chinese_DataSet_KnowledgeDAO](https://github.com/shuliu586/AI_Chinese_DataSet_KnowledgeDAO)|供AI训练的中文数据集（持续更新。。。）与AI公司图谱，目前的数据集餐饮行业8000问，百度知道，Alpaca中文数据集，计算机领域数据集，Vicuna数据集，RedPajama数据集，Wikipedia中文词条数据集，网站论坛问答数据集|38|2023-11-29|
|108|[hacheyz/PMMAA](https://github.com/hacheyz/PMMAA)|《Python 数学建模算法与应用》- 司守奎，知识点笔记 & 代码 (Python Mathematical Modeling)|37|2023-12-23|
|109|[charliedream1/ai_wiki](https://github.com/charliedream1/ai_wiki)|AI实践：各类知识和样例汇总，包括大模型、编程、机器学习、 深度学习、强化学习、图神经网络，语音识别、NLP和图像识别等|37|2023-12-24|
|110|[AccumulateMore/Spider](https://github.com/AccumulateMore/Spider)|✔（已完结）最全面的 爬虫与数据库 笔记|37|2023-09-27|
|111|[liangruibupt/aws-is-how](https://github.com/liangruibupt/aws-is-how)|Know How Guide and Hands on Guide for AWS|37|2023-12-16|
|112|[limingzhong61/LearningNotes](https://github.com/limingzhong61/LearningNotes)|学习笔记|35|2023-10-27|
|113|[aihes/LangChain-Tutorials-and-Examples](https://github.com/aihes/LangChain-Tutorials-and-Examples)|LangChain结合了大型语言模型、知识库和计算逻辑，可以用于快速开发强大的AI应用。这个仓库包含了我对LangChain的学习和实践经验，包括教程和代码案例。让我们一起探索LangChain的可能性，共同推动人工智能领域的进步！|34|2023-09-21|
|114|[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|34|2023-12-08|
|115|[WYGNG/USTC_SSE_Python](https://github.com/WYGNG/USTC_SSE_Python)|中国科学技术大学软件学院python程序设计课程|32|2023-10-26|
|116|[ArronAI007/Awesome-AGI](https://github.com/ArronAI007/Awesome-AGI)|AGI资料汇总学习（主要包括LLM和AIGC），持续更新......|31|2023-11-30|
|117|[wx-chevalier/Mathematics-Notes](https://github.com/wx-chevalier/Mathematics-Notes)|:books: [.md & .ipynb] 人工智能与深度学习实战--数理统计与数据分析篇|31|2023-12-17|
|118|[AccumulateMore/NLP](https://github.com/AccumulateMore/NLP)|✔最全面的 深度学习NLP 笔记|30|2023-09-27|
|119|[qiwsir/MML](https://github.com/qiwsir/MML)|《机器学习数学基础》源码|29|2023-07-25|
|120|[lingwsh/ben_tech_python](https://github.com/lingwsh/ben_tech_python)|小白学Python课程资料|26|2023-12-09|
|121|[muchuang1024/python-examples](https://github.com/muchuang1024/python-examples)|我的python语言学习代码|26|2023-11-27|
|122|[ruoxining/ZJU_COURSE_MATERIALS](https://github.com/ruoxining/ZJU_COURSE_MATERIALS)|ZJU课程资料，主要含英语+CS专业课，不含不合适公开的资料和违反honor code的作业|25|2023-12-08|
|123|[OneStepAndTwoSteps/Data_Analysis_notes](https://github.com/OneStepAndTwoSteps/Data_Analysis_notes)|📖 Machine learning algorithms and deep learning algorithms|25|2023-10-12|
|124|[HITSZ-OpenAuto/PHYS1002A](https://github.com/HITSZ-OpenAuto/PHYS1002A)|HITSZ 大学物理实验IA 实验报告、数据处理及绘图程序等资料|23|2023-12-20|
|125|[CloneNOX/MSA-BiGCN](https://github.com/CloneNOX/MSA-BiGCN)|中山大学2022届本科生毕业论文《基于注意力机制和图卷积神经网络的多任务谣言检测》代码实现和baseline代码。现采用BERT作为编码器，实现了新的模型。|23|2023-10-17|
|126|[huangjia2019/DeepBlue-LLM](https://github.com/huangjia2019/DeepBlue-LLM)|深蓝学院课程 - 生成式预训练语言模型：理论与实战|22|2023-06-28|
|127|[RiverTwilight/Awesome-Machine-Learning-Playground](https://github.com/RiverTwilight/Awesome-Machine-Learning-Playground)|🌟 Dive into the world of machine learning with three no-framework, beginner-friendly models.    基于项目的机器学习入门理论详解。|21|2023-10-27|
|128|[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|21|2023-11-26|
|129|[xiaomeng79/learning_notes](https://github.com/xiaomeng79/learning_notes)|学习笔记|21|2023-09-12|
|130|[logan-zou/Tutorial_for_developing_LLM_application](https://github.com/logan-zou/Tutorial_for_developing_LLM_application)|一个面向小白的大模型应用开发课程|20|2023-10-30|
|131|[100gle/sspai-100-hours-series-python](https://github.com/100gle/sspai-100-hours-series-python)|少数派《100 小时后请叫我程序员》教程内容的相关源码|20|2023-08-08|
|132|[yujunkuo/ML2022-Homework](https://github.com/yujunkuo/ML2022-Homework)|[機器學習 110-2@NTU] 課程作業|20|2023-12-20|
|133|[LinglingGreat/StudySum](https://github.com/LinglingGreat/StudySum)|学习过程中的笔记梳理与总结|20|2023-12-20|
|134|[stuser/temp](https://github.com/stuser/temp)|公開分享檔案暫存區|20|2023-12-07|
|135|[haodong2000/Vision2022](https://github.com/haodong2000/Vision2022)|Slides of "Machine Vision" course by Zhejiang University Student Smart Factory Innovation Club 浙江大学学生智能工厂创新俱乐部《智能工厂软机器视觉教学》社团精品课程|19|2023-07-11|
|136|[Winn1y/Show2Know](https://github.com/Winn1y/Show2Know)|基于科研论文导向的可视化绘图集锦|17|2023-12-08|
|137|[Kevin-free/chatgpt-prompt-engineering-for-developers](https://github.com/Kevin-free/chatgpt-prompt-engineering-for-developers)|吴恩达《ChatGPT Prompt Engineering for Developers》课程中英版|17|2023-07-23|
|138|[rwepa/DataDemo](https://github.com/rwepa/DataDemo)|提供資料集與範例分享.|17|2023-12-11|
|139|[Gengzhige/Deep-Learning-Code](https://github.com/Gengzhige/Deep-Learning-Code)|《深度学习必修课：进击算法工程师》配套代码|16|2023-11-15|

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