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# 中文总榜 > 资料类 > Jupyter Notebook
<sub>数据更新: 2022-12-09&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|18476|2022-11-23|
|2|[fastai/fastbook](https://github.com/fastai/fastbook)|The fastai book, published as Jupyter Notebooks|16580|2022-12-06|
|3|[fengdu78/lihang-code](https://github.com/fengdu78/lihang-code)|《统计学习方法》的代码实现|16311|2022-09-11|
|4|[selfteaching/the-craft-of-selfteaching](https://github.com/selfteaching/the-craft-of-selfteaching)|One has no future if one couldn't teach themself.|13640|2022-11-01|
|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).|13206|2022-10-11|
|6|[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。|12970|2022-06-21|
|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》)|10523|2022-12-04|
|8|[yidao620c/python3-cookbook](https://github.com/yidao620c/python3-cookbook)|《Python Cookbook》 3rd Edition Translation|10523|2022-12-01|
|9|[apachecn/Interview](https://github.com/apachecn/Interview)|Interview = 简历指南 + 算法题 + 八股文 + 源码分析|7820|2022-11-26|
|10|[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|6575|2022-11-27|
|11|[xianhu/LearnPython](https://github.com/xianhu/LearnPython)|以撸代码的形式学习Python|6572|2022-10-04|
|12|[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/|5645|2022-12-06|
|13|[datawhalechina/joyful-pandas](https://github.com/datawhalechina/joyful-pandas)|pandas中文教程|3585|2022-11-05|
|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|3193|2022-07-03|
|15|[datawhalechina/competition-baseline](https://github.com/datawhalechina/competition-baseline)|数据科学竞赛知识、代码、思路|3181|2022-10-13|
|16|[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。|2091|2022-10-30|
|17|[jm199504/Financial-Knowledge-Graphs](https://github.com/jm199504/Financial-Knowledge-Graphs)|小型金融知识图谱构建流程|1979|2022-10-11|
|18|[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|1892|2022-11-30|
|19|[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|1808|2022-11-21|
|20|[gedeck/practical-statistics-for-data-scientists](https://github.com/gedeck/practical-statistics-for-data-scientists)|Code repository for O'Reilly book|1661|2022-08-05|
|21|[km1994/NLP-Interview-Notes](https://github.com/km1994/NLP-Interview-Notes)|该仓库主要记录 NLP 算法工程师相关的面试题|1429|2022-10-04|
|22|[luwill/Machine_Learning_Code_Implementation](https://github.com/luwill/Machine_Learning_Code_Implementation)|Mathematical derivation and pure Python code implementation of machine learning algorithms.|1332|2022-10-23|
|23|[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. ...|1272|2022-12-08|
|24|[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）|1217|2022-09-13|
|25|[liuyubobobo/Play-with-Machine-Learning-Algorithms](https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms)|Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。|1172|2022-08-22|
|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|1031|2022-12-01|
|27|[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|956|2022-12-02|
|28|[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|916|2022-11-04|
|29|[openvinotoolkit/openvino_notebooks](https://github.com/openvinotoolkit/openvino_notebooks)|📚 Jupyter notebook tutorials for OpenVINO™|819|2022-12-08|
|30|[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|788|2022-09-16|
|31|[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/|754|2022-12-08|
|32|[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）|713|2022-06-22|
|33|[virginiakm1988/ML2022-Spring](https://github.com/virginiakm1988/ML2022-Spring)|**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring|599|2022-06-10|
|34|[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|
|35|[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）|477|2022-06-29|
|36|[xinychen/latex-cookbook](https://github.com/xinychen/latex-cookbook)|LaTeX论文写作教程 (中文版)|473|2022-08-06|
|37|[bobo0810/PytorchNetHub](https://github.com/bobo0810/PytorchNetHub)|项目注释+论文复现+算法竞赛+Pytorch实践|465|2022-12-02|
|38|[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|464|2022-12-06|
|39|[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。|408|2022-06-27|
|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！ 【更多内容敬请关注公众号 "算法进阶"】|382|2022-12-01|
|41|[jarodHAN/Python-100-Days-master](https://github.com/jarodHAN/Python-100-Days-master)|python100天学习资料|367|2022-12-08|
|42|[familyld/Machine_Learning](https://github.com/familyld/Machine_Learning)|周志华《机器学习》阅读笔记|354|2022-06-14|
|43|[SMILELab-FL/FedLab](https://github.com/SMILELab-FL/FedLab)|A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.|343|2022-11-30|
|44|[htylab/machine-learning-python](https://github.com/htylab/machine-learning-python)|機器學習: Python|320|2022-11-15|
|45|[AccumulateMore/CV](https://github.com/AccumulateMore/CV)|✔️最全面的 深度学习CV 笔记【吴恩达 深度学习】【李沐 动手学深度学习】【我是土堆 Pytorch】|281|2022-10-25|
|46|[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|270|2022-11-30|
|47|[datawhalechina/machine-learning-toy-code](https://github.com/datawhalechina/machine-learning-toy-code)|《机器学习》（西瓜书）代码实战|268|2022-06-20|
|48|[microsoft/AIforEarthDataSets](https://github.com/microsoft/AIforEarthDataSets)|Notebooks and documentation for AI-for-Earth-managed datasets on Azure|201|2022-06-23|
|49|[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|191|2022-11-22|
|50|[nndl/practice-in-paddle](https://github.com/nndl/practice-in-paddle)|《神经网络与深度学习》案例与实践|190|2022-11-23|
|51|[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|162|2022-12-01|
|52|[Relph1119/deeplearning-with-tensorflow-notes](https://github.com/Relph1119/deeplearning-with-tensorflow-notes)|龙曲良《TensorFlow深度学习》学习笔记及代码，采用TensorFlow2.0.0版本|159|2022-12-08|
|53|[zhpmatrix/BERTem](https://github.com/zhpmatrix/BERTem)|论文实现(ACL2019)：《Matching the Blanks: Distributional Similarity for Relation Learning》|152|2022-12-08|
|54|[beiciliang/intro2musictech](https://github.com/beiciliang/intro2musictech)|公众号“无痛入门音乐科技”开源代码|147|2022-06-21|
|55|[zhangjunhd/reading-notes](https://github.com/zhangjunhd/reading-notes)|张俊的读书笔记|142|2022-06-23|
|56|[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|138|2022-09-16|
|57|[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  ；|134|2022-07-21|
|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|122|2022-08-10|
|59|[AccumulateMore/CPlusPlus](https://github.com/AccumulateMore/CPlusPlus)|✔️最全面的 C++ 笔记 【黑马程序员】|116|2022-11-11|
|60|[johnjim0816/rl-tutorials](https://github.com/johnjim0816/rl-tutorials)|basic algorithms of reinforcement learning|114|2022-12-08|
|61|[0809zheng/CS231n-assignment2019](https://github.com/0809zheng/CS231n-assignment2019)|CS231n 2019年春季学期课程作业|111|2022-12-08|
|62|[charliedream1/ai_quant_trade](https://github.com/charliedream1/ai_quant_trade)|(Eng. Incl.) 股票AI操盘手：包含股票知识、策略实例、机器学习、深度学习、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易|109|2022-12-08|
|63|[AccumulateMore/OpenCV](https://github.com/AccumulateMore/OpenCV)|✔️最全面的 OpenCV 笔记【咕泡唐宇迪】|108|2022-11-08|
|64|[lijin-THU/notes-python3](https://github.com/lijin-THU/notes-python3)|中文Python 3笔记|104|2022-10-20|
|65|[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|102|2022-06-21|
|66|[lululxvi/tutorials](https://github.com/lululxvi/tutorials)|Tutorials on deep learning, Python, and dissipative particle dynamics|98|2022-07-17|
|67|[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|89|2022-06-22|
|68|[batermj/data_sciences_campaign](https://github.com/batermj/data_sciences_campaign)|【数据科学家系列课程】|88|2022-12-06|
|69|[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|86|2022-07-31|
|70|[doocs/deep-learning](https://github.com/doocs/deep-learning)|🙃 深度学习实践与知识总结|85|2022-11-19|
|71|[newaetech/chipwhisperer-jupyter](https://github.com/newaetech/chipwhisperer-jupyter)|Interactive ChipWhisperer tutorials using Jupyter notebooks.|83|2022-07-25|
|72|[zui0711/Z-Lab](https://github.com/zui0711/Z-Lab)|Z Lab数据实验室开源代码汇总|79|2022-09-28|
|73|[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.|76|2022-09-25|
|74|[wgwang/ccks2020-baseline](https://github.com/wgwang/ccks2020-baseline)|CCKS 2020: 基于本体的金融知识图谱自动化构建技术评测|75|2022-07-19|
|75|[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。|71|2022-11-22|
|76|[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）|68|2022-11-22|
|77|[afunTW/Python-Crawling-Tutorial](https://github.com/afunTW/Python-Crawling-Tutorial)|Python crawling tutorial|60|2022-08-19|
|78|[zhiyu1998/Python-Basis-Notes](https://github.com/zhiyu1998/Python-Basis-Notes)|你的Python入门好帮手：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 🍥 + 脚本库 📚|59|2022-11-29|
|79|[HuangCongQing/OpenCV](https://github.com/HuangCongQing/OpenCV)|opencv学习教程 1、人机互动 2、物体识别 3、图像分割 4、人脸识别 5、动作识别 6、运动跟踪 7、机器人 8、运动分析 9、机器视觉 10、结构分析 11、汽车安全驾驶|59|2022-12-03|
|80|[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）|56|2022-10-08|
|81|[SocratesAcademy/css](https://github.com/SocratesAcademy/css)|《计算社会科学》课程|56|2022-11-21|
|82|[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|56|2022-11-14|
|83|[dmarx/anthology-of-modern-ml](https://github.com/dmarx/anthology-of-modern-ml)|Collection of important articles to be treated as a textbook|54|2022-07-09|
|84|[yaocoder/Architect-CTO-growth](https://github.com/yaocoder/Architect-CTO-growth)|实践及手册撰写：涵盖DevOps，云原生技术，大数据，人工智能，高并发&高性能&高可用服务等|54|2022-11-13|
|85|[CLUEbenchmark/pCLUE](https://github.com/CLUEbenchmark/pCLUE)|pCLUE: 1000000+多任务提示学习数据集|53|2022-10-04|
|86|[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。|52|2022-06-22|
|87|[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。|51|2022-11-20|
|88|[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|47|2022-11-21|
|89|[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. |46|2022-09-02|
|90|[dream80/TonyColab](https://github.com/dream80/TonyColab)|各种牛逼项目的Colab脚本集合！|45|2022-12-02|
|91|[MachineLP/Spark-](https://github.com/MachineLP/Spark-)|Spark学习笔记|40|2022-11-16|
|92|[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|40|2022-12-07|
|93|[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。|36|2022-11-22|
|94|[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.|36|2022-12-04|
|95|[AccumulateMore/Python](https://github.com/AccumulateMore/Python)|✔️最全面的 Python 笔记【马士兵教育】|35|2022-11-08|
|96|[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 |33|2022-11-21|
|97|[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|32|2022-12-08|
|98|[yangqy1110/Diffusion-Models](https://github.com/yangqy1110/Diffusion-Models)|扩散模型原理和pytorch代码实现初学资料汇总|31|2022-10-23|
|99|[liangruibupt/aws-is-how](https://github.com/liangruibupt/aws-is-how)|Know How Guide and Hands on Guide for AWS|30|2022-12-01|
|100|[Christmas-Wong/paper_project](https://github.com/Christmas-Wong/paper_project)|论文模型复现|28|2022-09-20|
|101|[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，|27|2022-09-05|
|102|[zzy99/competition-solutions](https://github.com/zzy99/competition-solutions)|我的数据竞赛方案总结|27|2022-06-21|
|103|[SocratesAcademy/ccbook](https://github.com/SocratesAcademy/ccbook)|Elements of Computational Communication 《计算传播基础》|27|2022-07-22|
|104|[IKMLab/course_material](https://github.com/IKMLab/course_material)|上課教材的大集合！！！|25|2022-12-08|
|105|[limingzhong61/LearningNotes](https://github.com/limingzhong61/LearningNotes)|学习笔记|24|2022-10-11|
|106|[realyanyang/disambiguation](https://github.com/realyanyang/disambiguation)|OAG-WhoIsWho 赛道二 代码分享|24|2022-06-21|
|107|[hanzhenlei767/NLP_Learn](https://github.com/hanzhenlei767/NLP_Learn)|NLP学习笔记-前沿追踪|24|2022-11-21|
|108|[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|23|2022-08-09|
|109|[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|22|2022-11-22|
|110|[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。|21|2022-12-03|
|111|[unimauro/QuantumResources](https://github.com/unimauro/QuantumResources)|Here Quantum Resources like: Book, Papers, Videos|21|2022-11-18|
|112|[JULIELab/MEmoLon](https://github.com/JULIELab/MEmoLon)|Repository for our ACL 2020 paper "Learning and Evaluating Emotion Lexicons for 91 Languages"|21|2022-12-08|
|113|[mc6666/PyTorch_Book](https://github.com/mc6666/PyTorch_Book)|PyTorch 深度學習範例|19|2022-11-13|
|114|[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|19|2022-09-14|
|115|[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。|19|2022-06-11|
|116|[xiaomeng79/learning_notes](https://github.com/xiaomeng79/learning_notes)|学习笔记|19|2022-11-07|
|117|[fire717/Python-Toolkit](https://github.com/fire717/Python-Toolkit)|轮子/ 常用库/ 书籍笔记/ 小程序|19|2022-10-28|
|118|[qiwsir/MML](https://github.com/qiwsir/MML)|《机器学习数学基础》源码|18|2022-07-15|
|119|[km1994/nlp_paper_study_information_extraction](https://github.com/km1994/nlp_paper_study_information_extraction)|该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记【信息抽取篇】|18|2022-11-14|
|120|[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|18|2022-07-25|
|121|[JunyaoHu/CUMT_StudyFiles](https://github.com/JunyaoHu/CUMT_StudyFiles)|本科课程资料|17|2022-07-09|
|122|[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|
|123|[grandma-tutorial/Stocker](https://github.com/grandma-tutorial/Stocker)|都會阿嬤 Stocker tutorial|17|2022-09-25|
|124|[XinetAI/CVX](https://github.com/XinetAI/CVX)|计算机视觉：阅读 & 写作 & 学习|17|2022-10-04|
|125|[NjtechCVLab/Level_1](https://github.com/NjtechCVLab/Level_1)|入门资料|16|2022-07-25|
|126|[rwepa/DataDemo](https://github.com/rwepa/DataDemo)|提供資料集與範例分享.|16|2022-12-08|
|127|[wanghao15536870732/StudyNotes](https://github.com/wanghao15536870732/StudyNotes)|📖 学习笔记|16|2022-07-29|
|128|[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|14|2022-07-22|
|129|[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|
|130|[evenchange4/nextjs-tfjs-cnn](https://github.com/evenchange4/nextjs-tfjs-cnn)|🐕 🐈 Classifier using Keras VGG16 transfer learning with kaggle dataset.|14|2022-06-18|
|131|[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|
|132|[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|
|133|[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|
|134|[LinglingGreat/StudySum](https://github.com/LinglingGreat/StudySum)|学习过程中的笔记梳理与总结|9|2022-08-02|
|135|[usstroot/notebook](https://github.com/usstroot/notebook)|学习笔记|9|2022-06-21|
|136|[Ayusummer/DailyNotes](https://github.com/Ayusummer/DailyNotes)|日常学习记录|4|2022-08-01|
|137|[zkcpku/cs231n_homework](https://github.com/zkcpku/cs231n_homework)|cs231n作业笔记|4|2022-07-06|
|138|[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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