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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: 2022-01-13&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: 2022-01-14&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|[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|5539|4|2022-01-10|
|1|[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|5546|4|2022-01-10|
|2|[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.|2764|4|2021-10-14|
|3|[NVIDIA/NeMo](https://github.com/NVIDIA/NeMo)|NeMo: a toolkit for conversational AI|3755|4|2022-01-12|
|4|[ljpzzz/machinelearning](https://github.com/ljpzzz/machinelearning)|My blogs and code for machine learning. http://cnblogs.com/pinard|6070|3|2021-10-01|
|5|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|832|3|2021-12-29|
|3|[NVIDIA/NeMo](https://github.com/NVIDIA/NeMo)|NeMo: a toolkit for conversational AI|3765|4|2022-01-13|
|4|[ljpzzz/machinelearning](https://github.com/ljpzzz/machinelearning)|My blogs and code for machine learning. http://cnblogs.com/pinard|6074|3|2021-10-01|
|5|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|834|3|2021-12-29|
|6|[cleverhans-lab/cleverhans](https://github.com/cleverhans-lab/cleverhans)|An adversarial example library for constructing attacks, building defenses, and benchmarking both|5381|3|2021-12-26|
|7|[wangshub/RL-Stock](https://github.com/wangshub/RL-Stock)|📈 如何用深度强化学习自动炒股|2111|3|2021-09-08|
|8|[yoyoyo-yo/Gasyori100knock](https://github.com/yoyoyo-yo/Gasyori100knock)|image processing codes to understand algorithm|1991|2|2021-11-21|
|9|[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. |974|2|2021-12-22|
|10|[4paradigm/AutoX](https://github.com/4paradigm/AutoX)|AutoX is an efficient automl tool, which is mainly aimed at data mining competitions with tabular data.|434|2|2022-01-11|
|7|[wangshub/RL-Stock](https://github.com/wangshub/RL-Stock)|📈 如何用深度强化学习自动炒股|2112|3|2022-01-13|
|8|[yoyoyo-yo/Gasyori100knock](https://github.com/yoyoyo-yo/Gasyori100knock)|image processing codes to understand algorithm|1992|2|2021-11-21|
|9|[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. |976|2|2021-12-22|
|10|[4paradigm/AutoX](https://github.com/4paradigm/AutoX)|AutoX is an efficient automl tool, which is mainly aimed at data mining competitions with tabular data.|436|2|2022-01-13|
|11|[marcotcr/checklist](https://github.com/marcotcr/checklist)|Beyond Accuracy: Behavioral Testing of NLP models with CheckList|1556|2|2021-11-23|
|12|[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.|1702|2|2022-01-05|
|13|[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|1193|2|2021-12-21|
|12|[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.|1703|2|2022-01-05|
|13|[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|1192|2|2021-12-21|
|14|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|184|2|2022-01-07|
|15|[amaiya/ktrain](https://github.com/amaiya/ktrain)|ktrain is a Python library that makes deep learning and AI more accessible and easier to apply|938|1|2022-01-06|
|16|[TheEconomist/big-mac-data](https://github.com/TheEconomist/big-mac-data)|Data and methodology for the Big Mac index|1224|1|2021-07-26|
|17|[fastai/course20](https://github.com/fastai/course20)|Deep Learning for Coders, 2020, the website|699|1|2021-12-16|
|16|[TheEconomist/big-mac-data](https://github.com/TheEconomist/big-mac-data)|Data and methodology for the Big Mac index|1225|1|2021-07-26|
|17|[fastai/course20](https://github.com/fastai/course20)|Deep Learning for Coders, 2020, the website|700|1|2021-12-16|
|18|[LYuhang/GNN_Review](https://github.com/LYuhang/GNN_Review)|GNN综述阅读报告|558|1|2021-08-17|
|19|[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|610|1|2021-10-29|
|19|[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|612|1|2021-10-29|
|20|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|117|1|2021-11-15|
|21|[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/|1631|1|2021-12-13|
|21|[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/|1632|1|2021-12-13|
|22|[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|763|1|2021-11-26|
|23|[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|103|1|2021-11-17|
|24|[yijixiuxin/chanlun](https://github.com/yijixiuxin/chanlun)|基于缠中说禅所理解的市场行情的分析工具|19|1|2021-12-18|
|25|[exacity/simplified-deeplearning](https://github.com/exacity/simplified-deeplearning)|Simplified implementations of deep learning related works|2390|1|2021-10-06|
|26|[dglai/maxp_baseline_model](https://github.com/dglai/maxp_baseline_model)|-|67|1|2021-11-05|
|27|[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.|1790|1|2022-01-09|
|28|[davidfrz/yolov5_distance_count](https://github.com/davidfrz/yolov5_distance_count)|使用yolov5，双目摄像头进行测距|111|1|2021-07-16|
|29|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package developed for transportation spatio-temporal big data processing, analysis and visualization.|56|1|2022-01-10|
|30|[luo3300612/Visualizer](https://github.com/luo3300612/Visualizer)|assistant tools for attention visualization in deep learning|202|1|2021-08-11|
|31|[Tiiiger/bert_score](https://github.com/Tiiiger/bert_score)|BERT score for text generation|793|1|2021-12-10|
|25|[exacity/simplified-deeplearning](https://github.com/exacity/simplified-deeplearning)|Simplified implementations of deep learning related works|2391|1|2021-10-06|
|26|[dglai/maxp_baseline_model](https://github.com/dglai/maxp_baseline_model)|-|66|1|2021-11-05|
|27|[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.|1794|1|2022-01-09|
|28|[davidfrz/yolov5_distance_count](https://github.com/davidfrz/yolov5_distance_count)|使用yolov5，双目摄像头进行测距|113|1|2021-07-16|
|29|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package developed for transportation spatio-temporal big data processing, analysis and visualization.|58|1|2022-01-13|
|30|[luo3300612/Visualizer](https://github.com/luo3300612/Visualizer)|assistant tools for attention visualization in deep learning|203|1|2021-08-11|
|31|[Tiiiger/bert_score](https://github.com/Tiiiger/bert_score)|BERT score for text generation|797|1|2021-12-10|
|32|[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|336|1|2021-10-09|
|33|[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。|830|1|2021-11-08|
|34|[d2l-ai/d2l-zh-pytorch-slides](https://github.com/d2l-ai/d2l-zh-pytorch-slides)|Pytorch版代码幻灯片|259|1|2021-12-23|
|34|[d2l-ai/d2l-zh-pytorch-slides](https://github.com/d2l-ai/d2l-zh-pytorch-slides)|Pytorch版代码幻灯片|260|1|2021-12-23|
|35|[44670/SourceHanSans-Pixel](https://github.com/44670/SourceHanSans-Pixel)|基于思源黑体的开源像素字体|170|1|2022-01-03|
|36|[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|970|1|2021-10-30|
|37|[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）|521|1|2021-11-24|
|38|[tugstugi/dl-colab-notebooks](https://github.com/tugstugi/dl-colab-notebooks)|Try out deep learning models online on Google Colab|1275|1|2021-11-16|
|37|[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）|521|1|2022-01-13|
|38|[tugstugi/dl-colab-notebooks](https://github.com/tugstugi/dl-colab-notebooks)|Try out deep learning models online on Google Colab|1276|1|2022-01-13|
|39|[kevinfu1717/SuperInterstellarTerminal](https://github.com/kevinfu1717/SuperInterstellarTerminal)|【X世纪星际终端】A Wechat Social and AR Game: 基于微信聊天，结合增强现实技术AR+LBS（基于图像位置）的轻社交星际漂流瓶游戏。向外太空发送漂流信息，看看AI预测的外星人是长什么样的，寻找身边的外星人,逗逗外星生物，看看外星植物及外星建筑。Send the message to the outer space, find the aliens in the earth ...|89|1|2021-12-10|
|40|[PaddlePaddle/Quantum](https://github.com/PaddlePaddle/Quantum)|-|333|1|2021-12-15|
|41|[wbbhcb/stock_market](https://github.com/wbbhcb/stock_market)|-|406|1|2021-11-01|
@ -52,7 +52,7 @@
|45|[oegedijk/dash_oop_components](https://github.com/oegedijk/dash_oop_components)|OOP components for plotly dash that make dashboard components composable, reusable and configurable|24|0|2021-09-28|
|46|[Emergent-Epidemics/covid19_npi_china](https://github.com/Emergent-Epidemics/covid19_npi_china)|Code for: The effect of human mobility and control measures on the COVID-19 epidemic in China|12|0|2021-09-09|
|47|[xiaonan8826/jeffindex](https://github.com/xiaonan8826/jeffindex)|-|10|0|2021-09-08|
|48|[ryan4yin/knowledge](https://github.com/ryan4yin/knowledge)|Everything I know: DevOps & CloudNative, Music, etc...|26|0|2022-01-11|
|48|[ryan4yin/knowledge](https://github.com/ryan4yin/knowledge)|Everything I know: DevOps & CloudNative, Music, etc...|26|0|2022-01-13|
|49|[aipredict/ai-deployment](https://github.com/aipredict/ai-deployment)|关注AI模型上线、模型部署|135|0|2021-07-15|
|50|[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|10|0|2021-12-04|
|51|[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|16|0|2021-12-22|
@ -68,17 +68,17 @@
|61|[ybdesire/machinelearning](https://github.com/ybdesire/machinelearning)|My machine learning code written by python.|29|0|2021-11-19|
|62|[makelove/Programer_Log](https://github.com/makelove/Programer_Log)|最新动态在这里【我的程序员日志】|139|0|2021-09-03|
|63|[ZhiqingXiao/OpenAIGymSolution](https://github.com/ZhiqingXiao/OpenAIGymSolution)|Solutions to OpenAI Gym|10|0|2021-08-22|
|64|[CUHKSZ-TQL/WeiboSpider_SentimentAnalysis](https://github.com/CUHKSZ-TQL/WeiboSpider_SentimentAnalysis)|借助Python抓取微博数据，并对抓取的数据进行情绪分析|235|0|2021-12-13|
|64|[CUHKSZ-TQL/WeiboSpider_SentimentAnalysis](https://github.com/CUHKSZ-TQL/WeiboSpider_SentimentAnalysis)|借助Python抓取微博数据，并对抓取的数据进行情绪分析|235|0|2022-01-13|
|65|[moliqingwa/carbon_challenge](https://github.com/moliqingwa/carbon_challenge)|捕碳大作战|16|0|2021-12-22|
|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 |94|0|2022-01-10|
|67|[aws-samples/aws-utility-meter-data-analytics-platform-cn](https://github.com/aws-samples/aws-utility-meter-data-analytics-platform-cn)|-|65|0|2021-07-20|
|68|[wangzheng422/docker_env](https://github.com/wangzheng422/docker_env)|Personal working log and md documents. Currently forcus on openshift4.|75|0|2022-01-12|
|69|[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|86|0|2021-10-26|
|68|[wangzheng422/docker_env](https://github.com/wangzheng422/docker_env)|Personal working log and md documents. Currently forcus on openshift4.|75|0|2022-01-13|
|69|[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|88|0|2021-10-26|
|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|2022-01-07|
|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|763|0|2022-01-12|
|72|[serengil/tensorflow-101](https://github.com/serengil/tensorflow-101)|TensorFlow 101: Introduction to Deep Learning|764|0|2022-01-12|
|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|29|0|2021-12-28|
|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|30|0|2021-12-28|
|75|[jackhuntcn/2021ccf_iqiyi_nlp](https://github.com/jackhuntcn/2021ccf_iqiyi_nlp)|-|15|0|2021-12-03|
|76|[IKMLab/course_material](https://github.com/IKMLab/course_material)|上課教材的大集合！！！|12|0|2021-09-08|
|77|[Hongyu-Yue/yoloV5_modify_smalltarget](https://github.com/Hongyu-Yue/yoloV5_modify_smalltarget)|YOLOV5 小目标检测修改版|25|0|2021-08-21|
@ -86,15 +86,15 @@
|79|[ljyslyc/Book-KnowledgeGraph-Recommendation](https://github.com/ljyslyc/Book-KnowledgeGraph-Recommendation)|书籍知识图谱推荐系统|25|0|2021-07-20|
|80|[markwk/ts4health](https://github.com/markwk/ts4health)|Time Series Data Analysis, Visualization and Forecasting with Python for Health and Self|15|0|2021-08-04|
|81|[areejokaili/topic_labelling](https://github.com/areejokaili/topic_labelling)|-|16|0|2021-12-22|
|82|[cviaai/VEINCV-RL](https://github.com/cviaai/VEINCV-RL)|Near-Infrared-to-Visible Vein Imaging via Convolutional Neural Networks and Reinforcement Learning|16|0|2021-09-09|
|83|[vespa-engine/sample-apps](https://github.com/vespa-engine/sample-apps)|Repository of sample applications|153|0|2022-01-11|
|84|[duoergun0729/adversarial_examples](https://github.com/duoergun0729/adversarial_examples)|对抗样本|158|0|2021-12-13|
|82|[cviaai/VEINCV-RL](https://github.com/cviaai/VEINCV-RL)|Near-Infrared-to-Visible Vein Imaging via Convolutional Neural Networks and Reinforcement Learning|16|0|2022-01-13|
|83|[vespa-engine/sample-apps](https://github.com/vespa-engine/sample-apps)|Repository of sample applications|154|0|2022-01-12|
|84|[duoergun0729/adversarial_examples](https://github.com/duoergun0729/adversarial_examples)|对抗样本|158|0|2022-01-13|
|85|[chokkan/python](https://github.com/chokkan/python)|Python早見帳|17|0|2021-11-28|
|86|[zhouwei713/data_analysis](https://github.com/zhouwei713/data_analysis)|一些爬虫和数据分析相关实战练习|306|0|2022-01-08|
|87|[lyj555/SelfLearning](https://github.com/lyj555/SelfLearning)|该项目主要是自学过程中对于一些知识点的整理，项目整体分为四部分，分别是算法、工程、工具和数学知识。算法部分主要是常用的机器学习（LR、SVM、树模型、XGBoost、LightGBM和CatBoost等）和深度学习算法（NLP和CV以及一些基础知识），工程部分主要是spark和hive|13|0|2021-12-06|
|88|[andy6804tw/2020-12th-ironman](https://github.com/andy6804tw/2020-12th-ironman)|[全民瘋AI系列] 第12屆iT邦幫忙鐵人賽 影片教學組 |88|0|2021-09-27|
|89|[deepdialog/CPM-LM-TF2](https://github.com/deepdialog/CPM-LM-TF2)|-|201|0|2021-10-14|
|90|[Tu5039/THSTrader](https://github.com/Tu5039/THSTrader)|支持更新一版的同花顺，改了一些因为UI变化而出现问题的地方|20|0|2021-09-08|
|90|[Tu5039/THSTrader](https://github.com/Tu5039/THSTrader)|支持更新一版的同花顺，改了一些因为UI变化而出现问题的地方|20|0|2022-01-13|
|91|[CIDO-ontology/cido](https://github.com/CIDO-ontology/cido)|CIDO: Coronavirus Infectious Disease Ontology|14|0|2021-09-08|
|92|[Glacier-Ice/Covid-19-data-science](https://github.com/Glacier-Ice/Covid-19-data-science)|Welcome to Glacier Data Project. A post-wuhan2020 project for data science|148|0|2021-08-12|
|93|[deepjavalibrary/d2l-java-zh](https://github.com/deepjavalibrary/d2l-java-zh)|-|11|0|2021-12-06|
@ -105,13 +105,13 @@
|98|[neozhu/smartadmin.core.urf](https://github.com/neozhu/smartadmin.core.urf)|Domain Driven Design (DDD) lightweight development architecture(support .net 5.0)|96|0|2021-09-13|
|99|[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|
|100|[excelsimon/AI](https://github.com/excelsimon/AI)|机器学习、深度学习、自然语言处理、计算机视觉等AI领域相关技术的算法推导及应用|104|0|2021-08-05|
|101|[hktxt/Courses](https://github.com/hktxt/Courses)|An AI engineer Prepares / 算法工程师自我修养|24|0|2021-09-08|
|101|[hktxt/Courses](https://github.com/hktxt/Courses)|An AI engineer Prepares / 算法工程师自我修养|24|0|2022-01-13|
|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.|18|0|2022-01-05|
|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|37|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|32|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|2021-08-25|
|106|[Liang-ZX/VectorNet](https://github.com/Liang-ZX/VectorNet)|Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”|64|0|2021-10-28|
|107|[aishoot/LSTM_PIT_Speech_Separation](https://github.com/aishoot/LSTM_PIT_Speech_Separation)|Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.|270|0|2022-01-06|
|107|[aishoot/LSTM_PIT_Speech_Separation](https://github.com/aishoot/LSTM_PIT_Speech_Separation)|Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.|271|0|2022-01-06|
|108|[dr-guangtou/luandun](https://github.com/dr-guangtou/luandun)|Luandun: Chaotic but delicious|15|0|2021-11-27|
|109|[kevin-meng/financial_stock_knowledge_graph](https://github.com/kevin-meng/financial_stock_knowledge_graph)|base on chinese stock market data|61|0|2021-10-05|
|110|[deepintomlf/mlfbook](https://github.com/deepintomlf/mlfbook)|-|26|0|2021-09-26|
@ -123,8 +123,8 @@
|116|[lingjzhu/charsiu](https://github.com/lingjzhu/charsiu)|Charsiu: A neural phonetic aligner.|50|0|2022-01-05|
|117|[linbang/Metapath2vec](https://github.com/linbang/Metapath2vec)|使用DGL和pytorch实现metapath2vec|24|0|2021-09-17|
|118|[je-santos/MPLBM-UT](https://github.com/je-santos/MPLBM-UT)|Library for performing multiphase simulations (based on the Shan-Chen model) in complicated geometries (i.e. porous media 3D images)|82|0|2021-12-22|
|119|[WHUFT/WHU_FinTech_Workshop](https://github.com/WHUFT/WHU_FinTech_Workshop)|武汉大学金融科技研讨班|36|0|2022-01-09|
|120|[01ly/Codes](https://github.com/01ly/Codes)|不可能不会系列|29|0|2021-09-08|
|119|[WHUFT/WHU_FinTech_Workshop](https://github.com/WHUFT/WHU_FinTech_Workshop)|武汉大学金融科技研讨班|36|0|2022-01-13|
|120|[01ly/Codes](https://github.com/01ly/Codes)|不可能不会系列|29|0|2022-01-13|
|121|[RenShuhuai-Andy/my-tools](https://github.com/RenShuhuai-Andy/my-tools)|my commonly-used tools|11|0|2021-11-29|
|122|[jonnor/embeddedml](https://github.com/jonnor/embeddedml)|-|102|0|2022-01-02|
|123|[evaseemefly/TyphoonSearchSys](https://github.com/evaseemefly/TyphoonSearchSys)|NMEFC——台风相似路径系统|10|0|2021-10-05|
@ -132,20 +132,20 @@
|125|[wx-chevalier/ai-models](https://github.com/wx-chevalier/ai-models)|Artificial Intelligence & Machine Learning & DeepLearning & NLP & CV Workbench 示例，算法，模型，应用，TensorFlow & PyTorch，Kaggle|18|0|2021-10-06|
|126|[QikaiXu/Recommender-System-Pytorch](https://github.com/QikaiXu/Recommender-System-Pytorch)|基于 Pytorch 实现推荐系统相关的算法|34|0|2021-11-17|
|127|[JuliaCN/MeetUpMaterials](https://github.com/JuliaCN/MeetUpMaterials)|Julia中文社区活动的各种材料 Meetup Materials |61|0|2021-12-23|
|128|[Flowingsun007/DeepLearningTutorial](https://github.com/Flowingsun007/DeepLearningTutorial)|Talk is cheap,show me the code ! Deep Learning,Leaning deep,Have fun!|75|0|2021-09-08|
|128|[Flowingsun007/DeepLearningTutorial](https://github.com/Flowingsun007/DeepLearningTutorial)|Talk is cheap,show me the code ! Deep Learning,Leaning deep,Have fun!|75|0|2022-01-13|
|129|[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 ...|46|0|2021-09-04|
|130|[HowardNTUST/Marketing-Data-Science-Application](https://github.com/HowardNTUST/Marketing-Data-Science-Application)|-|94|0|2021-12-22|
|131|[cacolola/python-LEC](https://github.com/cacolola/python-LEC)|python数据分析基础|31|0|2021-09-14|
|132|[luiarthur/TuringBnpBenchmarks](https://github.com/luiarthur/TuringBnpBenchmarks)|Benchmarks of Bayesian Nonparametric models in Turing and other PPLs|24|0|2021-11-10|
|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|557|0|2022-01-01|
|134|[patrick-llgc/Learning-Deep-Learning](https://github.com/patrick-llgc/Learning-Deep-Learning)|Paper reading notes on Deep Learning and Machine Learning|558|0|2022-01-01|
|135|[dsh0416/quantum-i-ching](https://github.com/dsh0416/quantum-i-ching)|A Quantum 爻 System Implementation for Divination |94|0|2022-01-07|
|136|[chenmingxiang110/Chinese-automatic-speech-recognition](https://github.com/chenmingxiang110/Chinese-automatic-speech-recognition)|Chinese speech recognition|251|0|2021-09-13|
|137|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|93|0|2022-01-12|
|137|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|93|0|2022-01-13|
|138|[nmcdev/meteva](https://github.com/nmcdev/meteva)|提供气象产品检验相关程序|126|0|2021-12-16|
|139|[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|33|0|2022-01-12|
|139|[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|36|0|2022-01-12|
|140|[lvxingchang/Interesting-python](https://github.com/lvxingchang/Interesting-python)|-|54|0|2021-10-21|
|141|[polarisZhao/pytorch-cookbook](https://github.com/polarisZhao/pytorch-cookbook)|-|39|0|2021-09-08|
|141|[polarisZhao/pytorch-cookbook](https://github.com/polarisZhao/pytorch-cookbook)|-|39|0|2022-01-13|
|142|[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 🐍|28|0|2022-01-01|
|143|[xiaomingnotes/sdu2021](https://github.com/xiaomingnotes/sdu2021)|sdu2021 traffic交通监控|12|0|2021-11-03|
|144|[huseinzol05/malay-dataset](https://github.com/huseinzol05/malay-dataset)|Text corpus for Bahasa Malaysia, https://malaya.readthedocs.io/en/latest/Dataset.html|152|0|2022-01-03|
@ -161,31 +161,31 @@
|154|[hugo2046/Quantitative-analysis](https://github.com/hugo2046/Quantitative-analysis)|量化研究-券商金工研报复现|134|0|2021-12-29|
|155|[Sanzo00/files](https://github.com/Sanzo00/files)|托管代码和一些文件|10|0|2021-11-28|
|156|[svakulenk0/KBQA](https://github.com/svakulenk0/KBQA)|Complex Question Answering over Knowledge Graphs|81|0|2021-08-25|
|157|[makelove/True_Artificial_Intelligence](https://github.com/makelove/True_Artificial_Intelligence)|真AI人工智能|39|0|2021-12-13|
|157|[makelove/True_Artificial_Intelligence](https://github.com/makelove/True_Artificial_Intelligence)|真AI人工智能|39|0|2022-01-13|
|158|[genkuroki/Statistics](https://github.com/genkuroki/Statistics)|Notes of Statistics|18|0|2021-07-27|
|159|[aws-samples/smart-cooler](https://github.com/aws-samples/smart-cooler)|-|22|0|2021-09-28|
|159|[aws-samples/smart-cooler](https://github.com/aws-samples/smart-cooler)|-|22|0|2022-01-13|
|160|[czczup/UrbanRegionFunctionClassification](https://github.com/czczup/UrbanRegionFunctionClassification)|第五届百度西安交大大数据竞赛 城市区域功能分类 Baseline|80|0|2021-12-16|
|161|[dataforgoodfr/batch7_satellite_ges](https://github.com/dataforgoodfr/batch7_satellite_ges)|-|14|0|2021-09-28|
|162|[baidu/Quanlse](https://github.com/baidu/Quanlse)|-|28|0|2021-12-22|
|163|[richieBao/Urban-Spatial-Data-Analysis_python](https://github.com/richieBao/Urban-Spatial-Data-Analysis_python)|The second phase of <城市空间数据分析方法——PYTHON语言实现>|20|0|2021-12-13|
|164|[nwpc-oper/reki](https://github.com/nwpc-oper/reki)|A data tool in CEMC/CMA.|10|0|2021-11-24|
|165|[lukewys/SunXiaoChuan-spider](https://github.com/lukewys/SunXiaoChuan-spider)|A scrapper and analyze result on weibos of SunXiaoChuan. 孙笑川微博的爬虫与分析|34|0|2021-10-06|
|165|[lukewys/SunXiaoChuan-spider](https://github.com/lukewys/SunXiaoChuan-spider)|A scrapper and analyze result on weibos of SunXiaoChuan. 孙笑川微博的爬虫与分析|34|0|2022-01-13|
|166|[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.|64|0|2021-10-01|
|167|[Yefee/xMCA](https://github.com/Yefee/xMCA)|Maximum Covariance Analysis in xarray for Climate Science|40|0|2021-11-07|
|168|[brain-zhang/xianglong](https://github.com/brain-zhang/xianglong)|资产配置方案|176|0|2021-09-07|
|169|[HuichuanLI/play-with-graph-algorithme](https://github.com/HuichuanLI/play-with-graph-algorithme)|python实现的初级图论算法库:环检测问题,桥和割点,最小生成树,最短路径,欧拉路径,哈密尔顿路径,拓扑排序，最大流问题，匹配问题(匈牙利算法)|23|0|2021-09-16|
|170|[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。|11|0|2021-11-29|
|171|[eval4nlp/SharedTask2021](https://github.com/eval4nlp/SharedTask2021)|-|13|0|2021-11-23|
|172|[azy1988/ML-CV](https://github.com/azy1988/ML-CV)|机器学习实战|117|0|2021-09-08|
|172|[azy1988/ML-CV](https://github.com/azy1988/ML-CV)|机器学习实战|117|0|2022-01-13|
|173|[EmbraceLife/fastai_treasures](https://github.com/EmbraceLife/fastai_treasures)|digging the endless treasures of fastai|19|0|2021-09-27|
|174|[guyujun/pyrosetta-basic](https://github.com/guyujun/pyrosetta-basic)|-|47|0|2021-10-27|
|174|[guyujun/pyrosetta-basic](https://github.com/guyujun/pyrosetta-basic)|-|48|0|2021-10-27|
|175|[IvanaXu/TianChiProj](https://github.com/IvanaXu/TianChiProj)|TianChiProj 天池|17|0|2021-11-21|
|176|[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|16|0|2021-12-22|
|177|[cyang03/CHECKED](https://github.com/cyang03/CHECKED)|-|23|0|2021-08-22|
|178|[mindspore-ai/docs](https://github.com/mindspore-ai/docs)|MindSpore document|146|0|2022-01-07|
|179|[mindslab-ai/wavegrad2](https://github.com/mindslab-ai/wavegrad2)|Unofficial Pytorch Implementation of WaveGrad2|83|0|2021-08-18|
|180|[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|
|181|[PanJinquan/python-learning-notes](https://github.com/PanJinquan/python-learning-notes)|代码|25|0|2021-10-12|
|181|[PanJinquan/python-learning-notes](https://github.com/PanJinquan/python-learning-notes)|代码|25|0|2022-01-13|
|182|[derekhe/mobike-crawler](https://github.com/derekhe/mobike-crawler)|摩拜单车爬虫|262|0|2021-07-26|
|183|[LogicJake/competition_baselines](https://github.com/LogicJake/competition_baselines)|开源的各大比赛baseline|271|0|2021-12-28|
|184|[DeepTrial/Retina-VesselNet](https://github.com/DeepTrial/Retina-VesselNet)|A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2|219|0|2021-11-15|
@ -202,9 +202,9 @@
|195|[HuichuanLI/Recommand-Algorithme](https://github.com/HuichuanLI/Recommand-Algorithme)|推荐算法实战(Recommend algorithm)|32|0|2021-10-31|
|196|[hululuzhu/chinese-ai-writing-share](https://github.com/hululuzhu/chinese-ai-writing-share)|中文AI写作共享|17|0|2021-08-17|
|197|[moeheart/jx3bla](https://github.com/moeheart/jx3bla)|JX3 Battle Log Analyse|10|0|2021-12-06|
|198|[zll17/Neural_Topic_Models](https://github.com/zll17/Neural_Topic_Models)|Implementation of topic models based on neural network approaches.|209|0|2021-11-12|
|199|[SocratesAcademy/datascience](https://github.com/SocratesAcademy/datascience)|Introduction to Python Programming for Data Science|30|0|2021-09-08|
|200|[collective-action/tech](https://github.com/collective-action/tech)|Documentation of all collective action from tech workers.|184|0|2022-01-12|
|198|[zll17/Neural_Topic_Models](https://github.com/zll17/Neural_Topic_Models)|Implementation of topic models based on neural network approaches.|211|0|2021-11-12|
|199|[SocratesAcademy/datascience](https://github.com/SocratesAcademy/datascience)|Introduction to Python Programming for Data Science|30|0|2022-01-13|
|200|[collective-action/tech](https://github.com/collective-action/tech)|Documentation of all collective action from tech workers.|184|0|2022-01-13|
<div align="center">
<p><sub>↓ -- 感谢读者 -- ↓</sub></p>