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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>
# 中文增速榜 > 软件类 > Jupyter Notebook
<sub>数据更新: 2022-03-21&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: 2022-03-22&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|Average daily growth|Updated|
|:-|:-|:-|:-|:-|:-|
|1|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|1238|4|2022-03-15|
|2|[MorvanZhou/PyTorch-Tutorial](https://github.com/MorvanZhou/PyTorch-Tutorial)|Build your neural network easy and fast, 莫烦Python中文教学|6655|4|2022-01-20|
|3|[roboticcam/machine-learning-notes](https://github.com/roboticcam/machine-learning-notes)|My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接|5704|4|2022-03-10|
|1|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|1246|4|2022-03-15|
|2|[MorvanZhou/PyTorch-Tutorial](https://github.com/MorvanZhou/PyTorch-Tutorial)|Build your neural network easy and fast, 莫烦Python中文教学|6661|4|2022-01-20|
|3|[roboticcam/machine-learning-notes](https://github.com/roboticcam/machine-learning-notes)|My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接|5707|4|2022-03-10|
|4|[ieee8023/covid-chestxray-dataset](https://github.com/ieee8023/covid-chestxray-dataset)|We are building an open database of COVID-19 cases with chest X-ray or CT images.|2785|4|2021-10-14|
|5|[NVIDIA/NeMo](https://github.com/NVIDIA/NeMo)|NeMo: a toolkit for conversational AI|3974|4|2022-03-20|
|6|[ljpzzz/machinelearning](https://github.com/ljpzzz/machinelearning)|My blogs and code for machine learning. http://cnblogs.com/pinard|6306|3|2021-10-01|
|7|[cleverhans-lab/cleverhans](https://github.com/cleverhans-lab/cleverhans)|An adversarial example library for constructing attacks, building defenses, and benchmarking both|5445|3|2022-01-23|
|8|[wangshub/RL-Stock](https://github.com/wangshub/RL-Stock)|📈 如何用深度强化学习自动炒股|2192|3|2022-03-12|
|9|[enpeizhao/CVprojects](https://github.com/enpeizhao/CVprojects)|computer vision projects 计算机视觉等好玩的AI项目|346|3|2022-03-20|
|10|[yoyoyo-yo/Gasyori100knock](https://github.com/yoyoyo-yo/Gasyori100knock)|image processing codes to understand algorithm|2019|2|2022-03-14|
|11|[matheusfacure/python-causality-handbook](https://github.com/matheusfacure/python-causality-handbook)|Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis. |1120|2|2022-03-13|
|12|[marcotcr/checklist](https://github.com/marcotcr/checklist)|Beyond Accuracy: Behavioral Testing of NLP models with CheckList|1616|2|2022-02-13|
|13|[AIZOOTech/FaceMaskDetection](https://github.com/AIZOOTech/FaceMaskDetection)|开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.|1765|2|2022-01-05|
|5|[NVIDIA/NeMo](https://github.com/NVIDIA/NeMo)|NeMo: a toolkit for conversational AI|3982|4|2022-03-21|
|6|[ljpzzz/machinelearning](https://github.com/ljpzzz/machinelearning)|My blogs and code for machine learning. http://cnblogs.com/pinard|6308|3|2021-10-01|
|7|[cleverhans-lab/cleverhans](https://github.com/cleverhans-lab/cleverhans)|An adversarial example library for constructing attacks, building defenses, and benchmarking both|5447|3|2022-01-23|
|8|[wangshub/RL-Stock](https://github.com/wangshub/RL-Stock)|📈 如何用深度强化学习自动炒股|2194|3|2022-03-12|
|9|[enpeizhao/CVprojects](https://github.com/enpeizhao/CVprojects)|computer vision projects 计算机视觉等好玩的AI项目|353|3|2022-03-21|
|10|[yoyoyo-yo/Gasyori100knock](https://github.com/yoyoyo-yo/Gasyori100knock)|image processing codes to understand algorithm|2021|2|2022-03-14|
|11|[matheusfacure/python-causality-handbook](https://github.com/matheusfacure/python-causality-handbook)|Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis. |1122|2|2022-03-13|
|12|[marcotcr/checklist](https://github.com/marcotcr/checklist)|Beyond Accuracy: Behavioral Testing of NLP models with CheckList|1617|2|2022-02-13|
|13|[AIZOOTech/FaceMaskDetection](https://github.com/AIZOOTech/FaceMaskDetection)|开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.|1766|2|2022-01-05|
|14|[snakers4/silero-models](https://github.com/snakers4/silero-models)|Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple|1269|2|2022-03-18|
|15|[hhiim/Lacan](https://github.com/hhiim/Lacan)|利用四层LSTM生成拉康精神分析黑话，用于讽刺（但过拟合……|88|2|2022-02-07|
|16|[juntang-zhuang/Adabelief-Optimizer](https://github.com/juntang-zhuang/Adabelief-Optimizer)|Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"|967|2|2022-03-05|
|17|[amaiya/ktrain](https://github.com/amaiya/ktrain)|ktrain is a Python library that makes deep learning and AI more accessible and easier to apply|969|1|2022-03-13|
|18|[TheEconomist/big-mac-data](https://github.com/TheEconomist/big-mac-data)|Data and methodology for the Big Mac index|1273|1|2022-02-04|
|19|[fastai/course20](https://github.com/fastai/course20)|Deep Learning for Coders, 2020, the website|740|1|2022-03-15|
|20|[gengyanlei/fire-smoke-detect-yolov4](https://github.com/gengyanlei/fire-smoke-detect-yolov4)|fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测|663|1|2021-10-29|
|21|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|184|1|2022-03-20|
|22|[FinMind/FinMind](https://github.com/FinMind/FinMind)|Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主)，每天更新 https://finmind.github.io/|1687|1|2022-03-08|
|23|[lxztju/pytorch_classification](https://github.com/lxztju/pytorch_classification)|利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码|813|1|2021-11-26|
|19|[fastai/course20](https://github.com/fastai/course20)|Deep Learning for Coders, 2020, the website|740|1|2022-03-21|
|20|[gengyanlei/fire-smoke-detect-yolov4](https://github.com/gengyanlei/fire-smoke-detect-yolov4)|fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测|666|1|2021-10-29|
|21|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|187|1|2022-03-20|
|22|[FinMind/FinMind](https://github.com/FinMind/FinMind)|Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主)，每天更新 https://finmind.github.io/|1689|1|2022-03-08|
|23|[lxztju/pytorch_classification](https://github.com/lxztju/pytorch_classification)|利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码|817|1|2021-11-26|
|24|[chenghuige/pikachu2](https://github.com/chenghuige/pikachu2)|微信大数据2021 1st，qq浏览器2021 3rd，mind新闻推荐2020 1st，NAIC2020 AI+遥感影像 2nd|111|1|2022-03-16|
|25|[datawhalechina/powerful-numpy](https://github.com/datawhalechina/powerful-numpy)|巨硬的NumPy|86|1|2022-03-04|
|26|[exacity/simplified-deeplearning](https://github.com/exacity/simplified-deeplearning)|Simplified implementations of deep learning related works|2396|1|2021-10-06|
|26|[exacity/simplified-deeplearning](https://github.com/exacity/simplified-deeplearning)|Simplified implementations of deep learning related works|2397|1|2021-10-06|
|27|[hangsz/pandas-tutorial](https://github.com/hangsz/pandas-tutorial)|适合初级到中级晋升者，有了体系之后就看熟练度了。|1437|1|2022-01-15|
|28|[wowchemy/starter-hugo-academic](https://github.com/wowchemy/starter-hugo-academic)|🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.|1913|1|2022-03-20|
|29|[4paradigm/AutoX](https://github.com/4paradigm/AutoX)|AutoX is an efficient automl tool, which is mainly aimed at data mining competitions with tabular data.|223|1|2022-03-18|
|30|[kzbkzb/Python-AI](https://github.com/kzbkzb/Python-AI)|深度学习100例、深度学习DL、图片分类、目标识别、目标检测、自然语言处理nlp、文本分类、TensorFlow、PyTorch|101|1|2022-01-12|
|31|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.|88|1|2022-03-17|
|29|[4paradigm/AutoX](https://github.com/4paradigm/AutoX)|AutoX is an efficient automl tool, which is mainly aimed at data mining competitions with tabular data.|224|1|2022-03-21|
|30|[kzbkzb/Python-AI](https://github.com/kzbkzb/Python-AI)|深度学习100例、深度学习DL、图片分类、目标识别、目标检测、自然语言处理nlp、文本分类、TensorFlow、PyTorch|102|1|2022-01-12|
|31|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.|89|1|2022-03-17|
|32|[Tiiiger/bert_score](https://github.com/Tiiiger/bert_score)|BERT score for text generation|847|1|2021-12-10|
|33|[zhongqiangwu960812/AI-RecommenderSystem](https://github.com/zhongqiangwu960812/AI-RecommenderSystem)|该仓库尝试整理推荐系统领域的一些经典算法模型|411|1|2022-02-22|
|34|[eastmountyxz/ImageProcessing-Python](https://github.com/eastmountyxz/ImageProcessing-Python)|该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。|882|1|2021-11-08|
|35|[d2l-ai/d2l-zh-pytorch-slides](https://github.com/d2l-ai/d2l-zh-pytorch-slides)|Pytorch版代码幻灯片|285|1|2022-03-15|
|34|[eastmountyxz/ImageProcessing-Python](https://github.com/eastmountyxz/ImageProcessing-Python)|该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。|883|1|2021-11-08|
|35|[d2l-ai/d2l-zh-pytorch-slides](https://github.com/d2l-ai/d2l-zh-pytorch-slides)|Pytorch版代码幻灯片|286|1|2022-03-15|
|36|[44670/SourceHanSans-Pixel](https://github.com/44670/SourceHanSans-Pixel)|基于思源黑体的开源像素字体|174|1|2022-01-03|
|37|[zslucky/awesome-AI-books](https://github.com/zslucky/awesome-AI-books)|Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning|987|1|2022-02-07|
|38|[LinXueyuanStdio/LaTeX_OCR_PRO](https://github.com/LinXueyuanStdio/LaTeX_OCR_PRO)|:art: 数学公式识别增强版：中英文手写印刷公式、支持初级符号推导（数据结构基于 LaTeX 抽象语法树）Math Formula OCR Pro, supports handwrite, Chinese-mixed formulas and simple symbol reasoning (based on LaTeX AST). |552|1|2022-03-11|
|39|[miracleyoo/pytorch-lightning-template](https://github.com/miracleyoo/pytorch-lightning-template)|An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all ...|246|1|2022-03-01|
|40|[hansu1017/WSDM-CUP-2022-Retention-Score-Prediction](https://github.com/hansu1017/WSDM-CUP-2022-Retention-Score-Prediction)|WSDM2022留存预测挑战赛 第1名解决方案|49|1|2022-02-26|
|41|[tugstugi/dl-colab-notebooks](https://github.com/tugstugi/dl-colab-notebooks)|Try out deep learning models online on Google Colab|1314|1|2022-03-10|
|38|[LinXueyuanStdio/LaTeX_OCR_PRO](https://github.com/LinXueyuanStdio/LaTeX_OCR_PRO)|:art: 数学公式识别增强版：中英文手写印刷公式、支持初级符号推导（数据结构基于 LaTeX 抽象语法树）Math Formula OCR Pro, supports handwrite, Chinese-mixed formulas and simple symbol reasoning (based on LaTeX AST). |554|1|2022-03-11|
|39|[miracleyoo/pytorch-lightning-template](https://github.com/miracleyoo/pytorch-lightning-template)|An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all ...|250|1|2022-03-01|
|40|[hansu1017/WSDM-CUP-2022-Retention-Score-Prediction](https://github.com/hansu1017/WSDM-CUP-2022-Retention-Score-Prediction)|WSDM2022留存预测挑战赛 第1名解决方案|50|1|2022-02-26|
|41|[tugstugi/dl-colab-notebooks](https://github.com/tugstugi/dl-colab-notebooks)|Try out deep learning models online on Google Colab|1315|1|2022-03-10|
|42|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|194|1|2022-02-01|
|43|[ypwhs/captcha_break](https://github.com/ypwhs/captcha_break)|验证码识别|2338|1|2022-02-25|
|43|[ypwhs/captcha_break](https://github.com/ypwhs/captcha_break)|验证码识别|2339|1|2022-02-25|
|44|[PaddlePaddle/Quantum](https://github.com/PaddlePaddle/Quantum)|-|340|1|2021-12-15|
|45|[wbbhcb/stock_market](https://github.com/wbbhcb/stock_market)|-|433|1|2021-11-01|
|46|[OneOneLiu/ggcnn_cornell_dataset](https://github.com/OneOneLiu/ggcnn_cornell_dataset)|cornell grasp dataset analyses and process|26|0|2022-02-25|
|47|[Dustyposa/goSpider](https://github.com/Dustyposa/goSpider)|some small project and some articles|56|0|2021-12-03|
|48|[oegedijk/dash_oop_components](https://github.com/oegedijk/dash_oop_components)|OOP components for plotly dash that make dashboard components composable, reusable and configurable|27|0|2022-03-01|
|49|[imistyrain/MTCNN](https://github.com/imistyrain/MTCNN)|Realtime Face Detection and Head pose estimation on Windows、Ubuntu、Mac、Android and iOS|428|0|2022-01-27|
|50|[ryan4yin/knowledge](https://github.com/ryan4yin/knowledge)|Everything I know: DevOps & CloudNative, Music, etc...|31|0|2022-03-20|
|50|[ryan4yin/knowledge](https://github.com/ryan4yin/knowledge)|Everything I know: DevOps & CloudNative, Music, etc...|31|0|2022-03-21|
|51|[xuhao1/FOXTracker](https://github.com/xuhao1/FOXTracker)|Facial Head Pose Tracker for Gaming|227|0|2022-03-19|
|52|[archersama/3rd-solution-COVID19-Fake-News-Detection-in-English](https://github.com/archersama/3rd-solution-COVID19-Fake-News-Detection-in-English)|这个仓库是AAAI2021共享任务COVID19-Fake-News-Detection-in-English(虚假新闻分类)的第三名的解决方案|16|0|2021-12-04|
|53|[xianghuisun/Chinese_KGQA](https://github.com/xianghuisun/Chinese_KGQA)|该仓库目的是实现基于知识图谱的中文问答系统|19|0|2021-12-22|
|54|[isee15/Card-Ocr](https://github.com/isee15/Card-Ocr)|身份证识别OCR|383|0|2021-09-22|
|54|[isee15/Card-Ocr](https://github.com/isee15/Card-Ocr)|身份证识别OCR|385|0|2021-09-22|
|55|[xieyan0811/pdfconv](https://github.com/xieyan0811/pdfconv)|中文PDF转TXT的实用工具|19|0|2021-10-13|
|56|[BT5153-Group-Seventeen/Weibo-Sentiment-Analysis-During-COVID-19](https://github.com/BT5153-Group-Seventeen/Weibo-Sentiment-Analysis-During-COVID-19)|In order to analyze the sentiment orientation on Chinese social platform, our group scraped raw reposts during the period when domestic COVID is most series(1.20-3.09) from Weibo and built different m ...|10|0|2021-10-06|
|57|[dbkk/docx-researchmap](https://github.com/dbkk/docx-researchmap)|-|21|0|2022-02-27|
|58|[vvlink/SIoT](https://github.com/vvlink/SIoT)|SIoT为一个为中小学STEM教育定制的跨平台的开源MQTT服务器程序，S指科学（Science）、简单（Simple）的意思。SIoT支持Win10、Win7、Mac、Linux等操作系统，支持虚谷号、树莓派等迷你电脑，一键启动，无需注册和设置即可使用。|60|0|2022-03-20|
|59|[zhangzhiqiangccm/NLP-project](https://github.com/zhangzhiqiangccm/NLP-project)|自然语言处理中的基础任务，包含但不限于文本表示，文本分类，命名实体识别，关系抽取，文本生成，文本摘要等，基于tensorflow2或Pytorch，所有代码均经过测试，项目中也包含相关数据。|84|0|2021-11-02|
|59|[zhangzhiqiangccm/NLP-project](https://github.com/zhangzhiqiangccm/NLP-project)|自然语言处理中的基础任务，包含但不限于文本表示，文本分类，命名实体识别，关系抽取，文本生成，文本摘要等，基于tensorflow2或Pytorch，所有代码均经过测试，项目中也包含相关数据。|84|0|2022-03-21|
|60|[jajupmochi/graphkit-learn](https://github.com/jajupmochi/graphkit-learn)|A python package for graph kernels, graph edit distances, and graph pre-image problem.|75|0|2022-03-18|
|61|[BSlience/rasa-conversational-ai](https://github.com/BSlience/rasa-conversational-ai)|Conversational AI based on Rasa|31|0|2022-02-11|
|62|[qwfy/doc-browser](https://github.com/qwfy/doc-browser)|A documentation browser with support for DevDocs, Dash and Hoogle, written in Haskell and QML|107|0|2021-10-09|
@ -73,10 +73,10 @@
|66|[covid-19-net/covid-19-community](https://github.com/covid-19-net/covid-19-community)| Community effort to build a Neo4j Knowledge Graph (KG) that links heterogeneous data about COVID-19 |97|0|2022-01-10|
|67|[wangzheng422/docker_env](https://github.com/wangzheng422/docker_env)|Personal working log and md documents. Currently forcus on openshift4.|79|0|2022-03-17|
|68|[1165048017/BlogLearning](https://github.com/1165048017/BlogLearning)|自己的学习历程，重点包括各种好玩的图像处理算法、运动捕捉、机器学习|123|0|2022-02-11|
|69|[PiperLiu/CS-courses-notes](https://github.com/PiperLiu/CS-courses-notes)|✨终生持续更新✨ 计算机基础自学笔记/心得/实验/资源汇总；C语言为主，课程：数据结构、操作系统（MIT6.S081）等|118|0|2022-03-19|
|69|[PiperLiu/CS-courses-notes](https://github.com/PiperLiu/CS-courses-notes)|✨终生持续更新✨ 计算机基础自学笔记/心得/实验/资源汇总；C语言为主，课程：数据结构、操作系统（MIT6.S081）等|120|0|2022-03-21|
|70|[Kahhann92/FaceMask-recognition](https://github.com/Kahhann92/FaceMask-recognition)|此一project是由清华大学医学院的姚非凡与郑家瀚共同开发完成，这里运用了三个目标检测模型，来找到图像里的人脸，以及他们是否有带口罩，是个目标检测+2分类问题。 这一readme.md文件是为了帮助使用者如何正确使用我们的code。我们使用FasterRCNN可达到0.7的mAP[.5:.95]。|14|0|2022-01-21|
|71|[zsc/kid-programming](https://github.com/zsc/kid-programming)|Programming exercises for kids (no prior programming experience required)|13|0|2021-11-05|
|72|[serengil/tensorflow-101](https://github.com/serengil/tensorflow-101)|TensorFlow 101: Introduction to Deep Learning|793|0|2022-02-15|
|72|[serengil/tensorflow-101](https://github.com/serengil/tensorflow-101)|TensorFlow 101: Introduction to Deep Learning|794|0|2022-02-15|
|73|[yangyahu-1994/Python-Crash-Course](https://github.com/yangyahu-1994/Python-Crash-Course)|A Hands-On, Project-Based Introduction to Programming|11|0|2021-10-05|
|74|[agave233/2020-CCF-Crowd-Flow-Prediction](https://github.com/agave233/2020-CCF-Crowd-Flow-Prediction)|科技战疫-大数据公益挑战赛-DataFountain重点区域人群密度预测 第1名方案|31|0|2021-12-28|
|75|[jackhuntcn/2021ccf_iqiyi_nlp](https://github.com/jackhuntcn/2021ccf_iqiyi_nlp)|-|16|0|2021-12-03|
@ -103,10 +103,10 @@
|96|[xjtulyc/lyc_code](https://github.com/xjtulyc/lyc_code)|-|11|0|2021-11-29|
|97|[X-lab2017/open-digger](https://github.com/X-lab2017/open-digger)|GitHub analysis tools|93|0|2022-03-20|
|98|[dglai/maxp_baseline_model](https://github.com/dglai/maxp_baseline_model)|-|67|0|2021-11-05|
|99|[Quantum-Dynamics-Hub/libra-code](https://github.com/Quantum-Dynamics-Hub/libra-code)|-|26|0|2022-03-16|
|99|[Quantum-Dynamics-Hub/libra-code](https://github.com/Quantum-Dynamics-Hub/libra-code)|-|26|0|2022-03-20|
|100|[cbdb-project/named-entities-for-premodern-chinese-history-research](https://github.com/cbdb-project/named-entities-for-premodern-chinese-history-research)|Repo to generate and host named entities for premodern chinese history research|16|0|2022-01-10|
|101|[hktxt/Courses](https://github.com/hktxt/Courses)|An AI engineer Prepares / 算法工程师自我修养|22|0|2022-03-11|
|102|[KristiyanVachev/Leaf-Question-Generation](https://github.com/KristiyanVachev/Leaf-Question-Generation)|Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.|30|0|2022-03-07|
|102|[KristiyanVachev/Leaf-Question-Generation](https://github.com/KristiyanVachev/Leaf-Question-Generation)|Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.|31|0|2022-03-07|
|103|[xiaohuiduan/dcgan_anime_avatars](https://github.com/xiaohuiduan/dcgan_anime_avatars)|基于keras使用dcgan自动生成动漫头像|41|0|2021-11-10|
|104|[maloyang/PLC-Python](https://github.com/maloyang/PLC-Python)|KHPy_2018-03-05_工業4.0: PLC與Python共舞|33|0|2021-12-09|
|105|[Flyfoxs/xf_tag](https://github.com/Flyfoxs/xf_tag)|大数据应用分类标注挑战赛(NLP),亚军🥈|20|0|2022-02-10|
@ -135,14 +135,14 @@
|128|[madhavmk/Noise2Noise-audio_denoising_without_clean_training_data](https://github.com/madhavmk/Noise2Noise-audio_denoising_without_clean_training_data)|Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy ...|52|0|2022-03-03|
|129|[ZhiqingXiao/pytorch-book](https://github.com/ZhiqingXiao/pytorch-book)|Source codes for the book "Application of Neural Network and PyTorch"|144|0|2022-03-13|
|130|[HowardNTUST/Marketing-Data-Science-Application](https://github.com/HowardNTUST/Marketing-Data-Science-Application)|-|97|0|2022-02-28|
|131|[cacolola/python-LEC](https://github.com/cacolola/python-LEC)|python数据分析基础|34|0|2022-02-21|
|131|[cacolola/python-LEC](https://github.com/cacolola/python-LEC)|python数据分析基础|35|0|2022-02-21|
|132|[luiarthur/TuringBnpBenchmarks](https://github.com/luiarthur/TuringBnpBenchmarks)|Benchmarks of Bayesian Nonparametric models in Turing and other PPLs|23|0|2022-02-11|
|133|[JuliaCN/juliacn.github.io](https://github.com/JuliaCN/juliacn.github.io)|Source code for cn.julialang.org|15|0|2021-12-21|
|134|[patrick-llgc/Learning-Deep-Learning](https://github.com/patrick-llgc/Learning-Deep-Learning)|Paper reading notes on Deep Learning and Machine Learning|586|0|2022-02-12|
|134|[patrick-llgc/Learning-Deep-Learning](https://github.com/patrick-llgc/Learning-Deep-Learning)|Paper reading notes on Deep Learning and Machine Learning|587|0|2022-02-12|
|135|[nyukat/GMIC](https://github.com/nyukat/GMIC)|An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization|103|0|2022-03-06|
|136|[dsh0416/quantum-i-ching](https://github.com/dsh0416/quantum-i-ching)|A Quantum 爻 System Implementation for Divination |94|0|2022-01-21|
|137|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|101|0|2022-02-24|
|138|[nmcdev/meteva](https://github.com/nmcdev/meteva)|提供气象产品检验相关程序|130|0|2022-03-03|
|138|[nmcdev/meteva](https://github.com/nmcdev/meteva)|提供气象产品检验相关程序|131|0|2022-03-03|
|139|[lvxingchang/Interesting-python](https://github.com/lvxingchang/Interesting-python)|-|49|0|2021-10-21|
|140|[polarisZhao/pytorch-cookbook](https://github.com/polarisZhao/pytorch-cookbook)|-|45|0|2022-03-12|
|141|[xsthunder/download-youtube-subtitle](https://github.com/xsthunder/download-youtube-subtitle)|download youtube subtitles(closed caption, cc) as txt or json, support translation and proxy. available on PIP 🐍|33|0|2022-01-01|
@ -170,18 +170,18 @@
|163|[avantcontra/coding-druid](https://github.com/avantcontra/coding-druid)|"Coding Druid" series is my horizontal programming practice notes, each part around a topic (mathematical physics electronic graphics sound...), implemented in several programming languages.|65|0|2021-10-01|
|164|[Yefee/xMCA](https://github.com/Yefee/xMCA)|Maximum Covariance Analysis in xarray for Climate Science|41|0|2021-11-07|
|165|[eval4nlp/SharedTask2021](https://github.com/eval4nlp/SharedTask2021)|-|13|0|2021-11-23|
|166|[azy1988/ML-CV](https://github.com/azy1988/ML-CV)|机器学习实战|119|0|2022-03-11|
|166|[azy1988/ML-CV](https://github.com/azy1988/ML-CV)|机器学习实战|118|0|2022-03-11|
|167|[EmbraceLife/fastai_treasures](https://github.com/EmbraceLife/fastai_treasures)|digging the endless treasures of fastai|20|0|2022-02-26|
|168|[guyujun/pyrosetta-basic](https://github.com/guyujun/pyrosetta-basic)|-|56|0|2021-10-27|
|169|[IvanaXu/TianChiProj](https://github.com/IvanaXu/TianChiProj)|TianChiProj 天池|16|0|2021-11-21|
|170|[linhduongtuan/Tuberculosis_ChestXray_Classifier](https://github.com/linhduongtuan/Tuberculosis_ChestXray_Classifier)|Classification for chest X ray images of tuberculosis using PyTorch, Timm, and modified EfficientNet family|19|0|2021-12-22|
|171|[mindspore-ai/docs](https://github.com/mindspore-ai/docs)|MindSpore document|144|0|2022-03-20|
|171|[mindspore-ai/docs](https://github.com/mindspore-ai/docs)|MindSpore document|144|0|2022-03-21|
|172|[Daya-Jin/ML_for_learner](https://github.com/Daya-Jin/ML_for_learner)|Implementations of the machine learning algorithm with Python and numpy|72|0|2021-10-20|
|173|[PanJinquan/python-learning-notes](https://github.com/PanJinquan/python-learning-notes)|代码|27|0|2022-03-12|
|174|[LogicJake/competition_baselines](https://github.com/LogicJake/competition_baselines)|开源的各大比赛baseline|293|0|2022-03-08|
|175|[DeepTrial/Retina-VesselNet](https://github.com/DeepTrial/Retina-VesselNet)|A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2|223|0|2022-02-09|
|176|[simbafl/Data-analysis](https://github.com/simbafl/Data-analysis)|数据分析，挖掘建模。|160|0|2022-01-02|
|177|[Sanzo00/ML-homework](https://github.com/Sanzo00/ML-homework)|吴恩达机器学习作业|27|0|2021-10-18|
|177|[Sanzo00/ML-homework](https://github.com/Sanzo00/ML-homework)|吴恩达机器学习作业|28|0|2021-10-18|
|178|[RanFeng/NumpyFlow](https://github.com/RanFeng/NumpyFlow)|使用numpy搭建自己的简易深度学习框架|17|0|2022-03-08|
|179|[blueapplehe/car_identify](https://github.com/blueapplehe/car_identify)|汽车识别，汽车车型识别，汽车品牌识别，车辆识别，深度学习，神经网络|96|0|2022-01-28|
|180|[Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB](https://github.com/Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB)|This is a repository about PCB defect detection.|255|0|2022-02-10|