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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: 2022-03-02&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: 2022-03-03&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|[MorvanZhou/PyTorch-Tutorial](https://github.com/MorvanZhou/PyTorch-Tutorial)|Build your neural network easy and fast, 莫烦Python中文教学|6597|4|2022-01-20|
|2|[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|5658|4|2022-02-13|
|3|[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.|2782|4|2021-10-14|
|4|[NVIDIA/NeMo](https://github.com/NVIDIA/NeMo)|NeMo: a toolkit for conversational AI|3922|4|2022-03-01|
|5|[ljpzzz/machinelearning](https://github.com/ljpzzz/machinelearning)|My blogs and code for machine learning. http://cnblogs.com/pinard|6219|3|2021-10-01|
|6|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|897|3|2022-02-25|
|7|[cleverhans-lab/cleverhans](https://github.com/cleverhans-lab/cleverhans)|An adversarial example library for constructing attacks, building defenses, and benchmarking both|5415|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|2169|3|2022-02-11|
|9|[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……|80|3|2022-02-07|
|10|[enpeizhao/CVprojects](https://github.com/enpeizhao/CVprojects)|computer vision projects 计算机视觉等好玩的AI项目|317|3|2022-02-20|
|11|[yoyoyo-yo/Gasyori100knock](https://github.com/yoyoyo-yo/Gasyori100knock)|image processing codes to understand algorithm|2003|2|2022-01-20|
|12|[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. |1095|2|2022-01-31|
|1|[MorvanZhou/PyTorch-Tutorial](https://github.com/MorvanZhou/PyTorch-Tutorial)|Build your neural network easy and fast, 莫烦Python中文教学|6601|4|2022-01-20|
|2|[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|5659|4|2022-02-13|
|3|[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.|2783|4|2021-10-14|
|4|[NVIDIA/NeMo](https://github.com/NVIDIA/NeMo)|NeMo: a toolkit for conversational AI|3924|4|2022-03-02|
|5|[ljpzzz/machinelearning](https://github.com/ljpzzz/machinelearning)|My blogs and code for machine learning. http://cnblogs.com/pinard|6226|3|2021-10-01|
|6|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|898|3|2022-03-02|
|7|[cleverhans-lab/cleverhans](https://github.com/cleverhans-lab/cleverhans)|An adversarial example library for constructing attacks, building defenses, and benchmarking both|5417|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|2170|3|2022-02-11|
|9|[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……|81|3|2022-02-07|
|10|[enpeizhao/CVprojects](https://github.com/enpeizhao/CVprojects)|computer vision projects 计算机视觉等好玩的AI项目|318|3|2022-02-20|
|11|[yoyoyo-yo/Gasyori100knock](https://github.com/yoyoyo-yo/Gasyori100knock)|image processing codes to understand algorithm|2005|2|2022-01-20|
|12|[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. |1097|2|2022-01-31|
|13|[marcotcr/checklist](https://github.com/marcotcr/checklist)|Beyond Accuracy: Behavioral Testing of NLP models with CheckList|1601|2|2022-02-13|
|14|[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.|1741|2|2022-01-05|
|14|[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.|1742|2|2022-01-05|
|15|[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|1251|2|2022-02-28|
|16|[amaiya/ktrain](https://github.com/amaiya/ktrain)|ktrain is a Python library that makes deep learning and AI more accessible and easier to apply|956|1|2022-02-25|
|17|[TheEconomist/big-mac-data](https://github.com/TheEconomist/big-mac-data)|Data and methodology for the Big Mac index|1262|1|2022-02-04|
|16|[amaiya/ktrain](https://github.com/amaiya/ktrain)|ktrain is a Python library that makes deep learning and AI more accessible and easier to apply|957|1|2022-02-25|
|17|[TheEconomist/big-mac-data](https://github.com/TheEconomist/big-mac-data)|Data and methodology for the Big Mac index|1265|1|2022-02-04|
|18|[fastai/course20](https://github.com/fastai/course20)|Deep Learning for Coders, 2020, the website|734|1|2022-02-25|
|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|644|1|2021-10-29|
|20|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|131|1|2022-03-01|
|20|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|132|1|2022-03-01|
|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/|1677|1|2022-01-21|
|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|795|1|2021-11-26|
|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|796|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|108|1|2021-11-17|
|24|[exacity/simplified-deeplearning](https://github.com/exacity/simplified-deeplearning)|Simplified implementations of deep learning related works|2399|1|2021-10-06|
|25|[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。|1430|1|2022-01-15|
|26|[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.|1872|1|2022-02-27|
|27|[4paradigm/AutoX](https://github.com/4paradigm/AutoX)|AutoX is an efficient automl tool, which is mainly aimed at data mining competitions with tabular data.|194|1|2022-03-01|
|26|[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.|1877|1|2022-02-27|
|27|[4paradigm/AutoX](https://github.com/4paradigm/AutoX)|AutoX is an efficient automl tool, which is mainly aimed at data mining competitions with tabular data.|196|1|2022-03-02|
|28|[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|80|1|2022-01-12|
|29|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.|78|1|2022-02-27|
|30|[Tiiiger/bert_score](https://github.com/Tiiiger/bert_score)|BERT score for text generation|832|1|2021-12-10|
|31|[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|382|1|2022-02-22|
|29|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.|78|1|2022-03-02|
|30|[Tiiiger/bert_score](https://github.com/Tiiiger/bert_score)|BERT score for text generation|833|1|2021-12-10|
|31|[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|387|1|2022-02-22|
|32|[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。|862|1|2021-11-08|
|33|[d2l-ai/d2l-zh-pytorch-slides](https://github.com/d2l-ai/d2l-zh-pytorch-slides)|Pytorch版代码幻灯片|276|1|2022-01-17|
|33|[d2l-ai/d2l-zh-pytorch-slides](https://github.com/d2l-ai/d2l-zh-pytorch-slides)|Pytorch版代码幻灯片|277|1|2022-01-17|
|34|[44670/SourceHanSans-Pixel](https://github.com/44670/SourceHanSans-Pixel)|基于思源黑体的开源像素字体|172|1|2022-01-03|
|35|[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|980|1|2022-02-07|
|36|[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). |541|1|2022-02-21|
|37|[hansu1017/WSDM2022-Retention-Score-Prediction](https://github.com/hansu1017/WSDM2022-Retention-Score-Prediction)|WSDM2022留存预测挑战赛 第1名解决方案|46|1|2022-02-26|
|38|[tugstugi/dl-colab-notebooks](https://github.com/tugstugi/dl-colab-notebooks)|Try out deep learning models online on Google Colab|1307|1|2022-01-13|
|39|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|192|1|2022-02-01|
|40|[ypwhs/captcha_break](https://github.com/ypwhs/captcha_break)|验证码识别|2323|1|2022-02-25|
|41|[PaddlePaddle/Quantum](https://github.com/PaddlePaddle/Quantum)|-|338|1|2021-12-15|
|42|[wbbhcb/stock_market](https://github.com/wbbhcb/stock_market)|-|426|1|2021-11-01|
|43|[yutiansut/QAStrategy](https://github.com/yutiansut/QAStrategy)|策略基类/ 支持QIFI协议|203|0|2021-09-01|
|44|[OneOneLiu/ggcnn_cornell_dataset](https://github.com/OneOneLiu/ggcnn_cornell_dataset)|cornell grasp dataset analyses and process|25|0|2022-02-25|
|45|[Dustyposa/goSpider](https://github.com/Dustyposa/goSpider)|some small project and some articles|56|0|2021-12-03|
|46|[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|
|47|[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|
|48|[xiaonan8826/jeffindex](https://github.com/xiaonan8826/jeffindex)|-|10|0|2021-09-08|
|49|[imistyrain/MTCNN](https://github.com/imistyrain/MTCNN)|Realtime Face Detection and Head pose estimation on Windows、Ubuntu、Mac、Android and iOS|426|0|2022-01-27|
|50|[ryan4yin/knowledge](https://github.com/ryan4yin/knowledge)|Everything I know: DevOps & CloudNative, Music, etc...|29|0|2022-02-26|
|51|[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|14|0|2021-12-04|
|52|[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|18|0|2021-12-22|
|53|[isee15/Card-Ocr](https://github.com/isee15/Card-Ocr)|身份证识别OCR|383|0|2021-09-22|
|54|[xieyan0811/pdfconv](https://github.com/xieyan0811/pdfconv)|中文PDF转TXT的实用工具|19|0|2021-10-13|
|55|[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|
|56|[dbkk/docx-researchmap](https://github.com/dbkk/docx-researchmap)|-|21|0|2022-02-27|
|57|[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。|85|0|2021-11-02|
|58|[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|2022-02-14|
|59|[BSlience/rasa-conversational-ai](https://github.com/BSlience/rasa-conversational-ai)|Conversational AI based on Rasa|31|0|2022-02-11|
|60|[qwfy/doc-browser](https://github.com/qwfy/doc-browser)|A documentation browser with support for DevDocs, Dash and Hoogle, written in Haskell and QML|106|0|2021-10-09|
|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】|147|0|2021-09-03|
|63|[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|242|0|2022-01-13|
|64|[moliqingwa/carbon_challenge](https://github.com/moliqingwa/carbon_challenge)|捕碳大作战|14|0|2021-12-22|
|65|[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 |95|0|2022-01-10|
|66|[wangzheng422/docker_env](https://github.com/wangzheng422/docker_env)|Personal working log and md documents. Currently forcus on openshift4.|78|0|2022-02-27|
|67|[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|100|0|2022-02-11|
|68|[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|
|69|[zsc/kid-programming](https://github.com/zsc/kid-programming)|Programming exercises for kids (no prior programming experience required)|13|0|2021-11-05|
|70|[serengil/tensorflow-101](https://github.com/serengil/tensorflow-101)|TensorFlow 101: Introduction to Deep Learning|783|0|2022-02-15|
|71|[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|
|72|[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|
|73|[jackhuntcn/2021ccf_iqiyi_nlp](https://github.com/jackhuntcn/2021ccf_iqiyi_nlp)|-|16|0|2021-12-03|
|74|[IKMLab/course_material](https://github.com/IKMLab/course_material)|上課教材的大集合！！！|12|0|2021-09-08|
|75|[voidful/Phraseg](https://github.com/voidful/Phraseg)|Phraseg - 一言：新詞發現工具包|24|0|2021-11-30|
|76|[ypwhs/baiduyun_deeplearning_competition](https://github.com/ypwhs/baiduyun_deeplearning_competition)|百度云魅族深度学习应用大赛|403|0|2022-02-25|
|77|[markwk/ts4health](https://github.com/markwk/ts4health)|Time Series Data Analysis, Visualization and Forecasting with Python for Health and Self|15|0|2022-02-12|
|78|[areejokaili/topic_labelling](https://github.com/areejokaili/topic_labelling)|-|16|0|2022-02-10|
|79|[cviaai/VEINCV-RL](https://github.com/cviaai/VEINCV-RL)|Near-Infrared-to-Visible Vein Imaging via Convolutional Neural Networks and Reinforcement Learning|16|0|2022-02-15|
|80|[vespa-engine/sample-apps](https://github.com/vespa-engine/sample-apps)|Repository of sample applications|157|0|2022-03-01|
|81|[duoergun0729/adversarial_examples](https://github.com/duoergun0729/adversarial_examples)|对抗样本|163|0|2022-02-11|
|82|[chokkan/python](https://github.com/chokkan/python)|Python早見帳|20|0|2021-11-28|
|83|[zhouwei713/data_analysis](https://github.com/zhouwei713/data_analysis)|一些爬虫和数据分析相关实战练习|307|0|2022-01-26|
|84|[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|
|85|[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 |91|0|2021-09-27|
|86|[deepdialog/CPM-LM-TF2](https://github.com/deepdialog/CPM-LM-TF2)|-|207|0|2021-10-14|
|87|[wshuyi/demo-spacy-text-processing](https://github.com/wshuyi/demo-spacy-text-processing)|-|130|0|2022-01-21|
|88|[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|22|0|2022-01-13|
|89|[andy6804tw/2021-13th-ironman](https://github.com/andy6804tw/2021-13th-ironman)|第13屆iT邦幫忙鐵人賽|17|0|2021-12-07|
|90|[CIDO-ontology/cido](https://github.com/CIDO-ontology/cido)|CIDO: Coronavirus Infectious Disease Ontology|15|0|2022-02-07|
|91|[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|0|2021-12-18|
|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|147|0|2022-02-13|
|93|[deepjavalibrary/d2l-java-zh](https://github.com/deepjavalibrary/d2l-java-zh)|-|11|0|2021-12-06|
|94|[xjtulyc/lyc_code](https://github.com/xjtulyc/lyc_code)|-|11|0|2021-11-29|
|95|[datawhalechina/powerful-numpy](https://github.com/datawhalechina/powerful-numpy)|巨硬的NumPy|65|0|2022-02-17|
|96|[X-lab2017/open-digger](https://github.com/X-lab2017/open-digger)|GitHub analysis tools|91|0|2022-03-01|
|97|[dglai/maxp_baseline_model](https://github.com/dglai/maxp_baseline_model)|-|67|0|2021-11-05|
|98|[Quantum-Dynamics-Hub/libra-code](https://github.com/Quantum-Dynamics-Hub/libra-code)|-|26|0|2022-02-28|
|99|[neozhu/smartadmin.core.urf](https://github.com/neozhu/smartadmin.core.urf)|Domain Driven Design (DDD) lightweight development architecture(support .net 5.0)|97|0|2021-09-13|
|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|2022-01-21|
|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.|28|0|2022-02-02|
|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|39|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|
|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”|68|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.|274|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|64|0|2021-10-05|
|110|[deepintomlf/mlfbook](https://github.com/deepintomlf/mlfbook)|-|28|0|2021-09-26|
|111|[linguishi/chinese_sentiment](https://github.com/linguishi/chinese_sentiment)|中文情感分析，CNN，BI-LSTM，文本分类|367|0|2022-02-10|
|112|[hscspring/All4NLP](https://github.com/hscspring/All4NLP)|All For NLP, especially Chinese.|160|0|2021-10-22|
|113|[Prayforhanluo/CTR_Algorithm](https://github.com/Prayforhanluo/CTR_Algorithm)|一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM，xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,DIN, DIEN ... （pytorch, tf2.0）|42|0|2022-01-19|
|114|[W-Java/Population-Prediction](https://github.com/W-Java/Population-Prediction)|The future population of Singapore is predicted by SVM algorithm|15|0|2021-10-29|
|115|[lingjzhu/charsiu](https://github.com/lingjzhu/charsiu)|Charsiu: A neural phonetic aligner.|63|0|2022-02-12|
|116|[linbang/Metapath2vec](https://github.com/linbang/Metapath2vec)|使用DGL和pytorch实现metapath2vec|27|0|2021-09-17|
|117|[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)|83|0|2022-02-28|
|118|[WHUFT/WHU_FinTech_Workshop](https://github.com/WHUFT/WHU_FinTech_Workshop)|武汉大学金融科技研讨班|45|0|2022-02-22|
|119|[01ly/Codes](https://github.com/01ly/Codes)|不可能不会系列|29|0|2022-02-10|
|120|[RenShuhuai-Andy/my-tools](https://github.com/RenShuhuai-Andy/my-tools)|my commonly-used tools|11|0|2021-11-29|
|121|[jonnor/embeddedml](https://github.com/jonnor/embeddedml)|-|103|0|2022-02-04|
|122|[evaseemefly/TyphoonSearchSys](https://github.com/evaseemefly/TyphoonSearchSys)|NMEFC——台风相似路径系统|10|0|2021-10-05|
|123|[Jackthebighead/duplicate-question-pair-identification](https://github.com/Jackthebighead/duplicate-question-pair-identification)|Three models are implemented for text similarity classification/STS problem on Quora Question Pairs dataset.|11|0|2021-11-12|
|124|[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|2022-02-26|
|125|[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|43|0|2021-11-17|
|126|[JuliaCN/MeetUpMaterials](https://github.com/JuliaCN/MeetUpMaterials)|Julia中文社区活动的各种材料 Meetup Materials |62|0|2021-12-23|
|127|[Flowingsun007/DeepLearningTutorial](https://github.com/Flowingsun007/DeepLearningTutorial)|Talk is cheap,show me the code ! Deep Learning,Leaning deep,Have fun!|77|0|2022-02-10|
|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 ...|51|0|2021-09-04|
|129|[HowardNTUST/Marketing-Data-Science-Application](https://github.com/HowardNTUST/Marketing-Data-Science-Application)|-|96|0|2022-02-28|
|130|[cacolola/python-LEC](https://github.com/cacolola/python-LEC)|python数据分析基础|32|0|2022-02-21|
|131|[luiarthur/TuringBnpBenchmarks](https://github.com/luiarthur/TuringBnpBenchmarks)|Benchmarks of Bayesian Nonparametric models in Turing and other PPLs|24|0|2022-02-11|
|132|[JuliaCN/juliacn.github.io](https://github.com/JuliaCN/juliacn.github.io)|Source code for cn.julialang.org|15|0|2021-12-21|
|133|[patrick-llgc/Learning-Deep-Learning](https://github.com/patrick-llgc/Learning-Deep-Learning)|Paper reading notes on Deep Learning and Machine Learning|584|0|2022-02-12|
|134|[dsh0416/quantum-i-ching](https://github.com/dsh0416/quantum-i-ching)|A Quantum 爻 System Implementation for Divination |94|0|2022-01-21|
|135|[chenmingxiang110/Chinese-automatic-speech-recognition](https://github.com/chenmingxiang110/Chinese-automatic-speech-recognition)|Chinese speech recognition|136|0|2021-09-13|
|136|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|99|0|2022-02-24|
|137|[nmcdev/meteva](https://github.com/nmcdev/meteva)|提供气象产品检验相关程序|129|0|2021-12-16|
|138|[lvxingchang/Interesting-python](https://github.com/lvxingchang/Interesting-python)|-|49|0|2021-10-21|
|139|[polarisZhao/pytorch-cookbook](https://github.com/polarisZhao/pytorch-cookbook)|-|43|0|2022-01-13|
|140|[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 🐍|32|0|2022-01-01|
|141|[xiaomingnotes/sdu2021](https://github.com/xiaomingnotes/sdu2021)|sdu2021 traffic交通监控|12|0|2021-11-03|
|142|[huseinzol05/malay-dataset](https://github.com/huseinzol05/malay-dataset)|Text corpus for Bahasa Malaysia, https://malaya.readthedocs.io/en/latest/Dataset.html|163|0|2022-02-28|
|143|[alext234/coronavirus-stats](https://github.com/alext234/coronavirus-stats)|Automatically scrape data and statistics on Coronavirus to make them easily accessible in CSV format|47|0|2021-12-13|
|144|[AnzorGozalishvili/unsupervised_keyword_extraction](https://github.com/AnzorGozalishvili/unsupervised_keyword_extraction)|Unsupervised approach to keyword extraction|15|0|2022-02-10|
|145|[lcan520/BankCardRecognition](https://github.com/lcan520/BankCardRecognition)|基于python3.6+opencv3+tensorflow+cnn的银行卡识别|13|0|2021-10-05|
|146|[mapicccy/funcat](https://github.com/mapicccy/funcat)|Using very simple code to compute indicator of stock\crytocurrency. For example, MA(C, 5) means average closed-price for last 5 days.|16|0|2022-01-19|
|147|[polimi-ispl/deep_prior_interpolation](https://github.com/polimi-ispl/deep_prior_interpolation)|Interpolation of seismic data through Deep Priors|10|0|2021-10-12|
|148|[xinihe/jrxy_python_course](https://github.com/xinihe/jrxy_python_course)|Python in Finance |54|0|2021-12-20|
|149|[lingjzhu/probing-TTS-models](https://github.com/lingjzhu/probing-TTS-models)|Link to paper: https://www.isca-speech.org/archive_v0/SpeechProsody_2020/pdfs/51.pdf|26|0|2021-09-06|
|150|[hugo2046/Quantitative-analysis](https://github.com/hugo2046/Quantitative-analysis)|量化研究-券商金工研报复现|158|0|2022-02-24|
|151|[Sanzo00/files](https://github.com/Sanzo00/files)|托管代码和一些文件|10|0|2021-11-28|
|152|[svakulenk0/KBQA](https://github.com/svakulenk0/KBQA)|Complex Question Answering over Knowledge Graphs|82|0|2022-02-11|
|153|[makelove/True_Artificial_Intelligence](https://github.com/makelove/True_Artificial_Intelligence)|真AI人工智能|41|0|2022-02-17|
|154|[genkuroki/Statistics](https://github.com/genkuroki/Statistics)|Notes of Statistics|18|0|2022-02-18|
|155|[aws-samples/smart-cooler](https://github.com/aws-samples/smart-cooler)|-|22|0|2022-02-14|
|156|[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|81|0|2021-12-16|
|157|[dataforgoodfr/batch7_satellite_ges](https://github.com/dataforgoodfr/batch7_satellite_ges)|-|14|0|2021-09-28|
|158|[baidu/Quanlse](https://github.com/baidu/Quanlse)|-|28|0|2021-12-22|
|159|[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|
|160|[nwpc-oper/reki](https://github.com/nwpc-oper/reki)|A data tool in CEMC/CMA.|10|0|2021-11-24|
|161|[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|
|162|[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|
|163|[Yefee/xMCA](https://github.com/Yefee/xMCA)|Maximum Covariance Analysis in xarray for Climate Science|41|0|2021-11-07|
|164|[brain-zhang/xianglong](https://github.com/brain-zhang/xianglong)|资产配置方案|179|0|2021-09-07|
|165|[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)|24|0|2021-09-16|
|166|[eval4nlp/SharedTask2021](https://github.com/eval4nlp/SharedTask2021)|-|13|0|2021-11-23|
|167|[azy1988/ML-CV](https://github.com/azy1988/ML-CV)|机器学习实战|118|0|2022-02-11|
|168|[edwardlikaiyuan/QiPy](https://github.com/edwardlikaiyuan/QiPy)|OLDLee的Python气象应用私教课|17|0|2021-09-12|
|169|[EmbraceLife/fastai_treasures](https://github.com/EmbraceLife/fastai_treasures)|digging the endless treasures of fastai|20|0|2022-02-26|
|170|[guyujun/pyrosetta-basic](https://github.com/guyujun/pyrosetta-basic)|-|56|0|2021-10-27|
|171|[IvanaXu/TianChiProj](https://github.com/IvanaXu/TianChiProj)|TianChiProj 天池|16|0|2021-11-21|
|172|[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|
|173|[mindspore-ai/docs](https://github.com/mindspore-ai/docs)|MindSpore document|145|0|2022-03-01|
|174|[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|
|175|[PanJinquan/python-learning-notes](https://github.com/PanJinquan/python-learning-notes)|代码|25|0|2022-01-13|
|176|[LogicJake/competition_baselines](https://github.com/LogicJake/competition_baselines)|开源的各大比赛baseline|284|0|2021-12-28|
|177|[DeepTrial/Retina-VesselNet](https://github.com/DeepTrial/Retina-VesselNet)|A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2|221|0|2022-02-09|
|178|[simbafl/Data-analysis](https://github.com/simbafl/Data-analysis)|数据分析，挖掘建模。|158|0|2022-01-02|
|179|[Sanzo00/ML-homework](https://github.com/Sanzo00/ML-homework)|吴恩达机器学习作业|15|0|2021-10-18|
|180|[zengwb-lx/yolov5-deepsort-pedestrian-counting](https://github.com/zengwb-lx/yolov5-deepsort-pedestrian-counting)|yolov5 + deepsort实现了行人计数功能， 统计摄像头内出现过的总人数，以及对穿越自定义黄线行人计数效果如下|45|0|2021-09-04|
|181|[tcmyxc/DL-AndrewNg](https://github.com/tcmyxc/DL-AndrewNg)|吴恩达深度学习2021年空白作业|17|0|2021-09-13|
|182|[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|93|0|2022-01-28|
|183|[lsh1994/remote_sensing_pretrained_models](https://github.com/lsh1994/remote_sensing_pretrained_models)|Remote Sensing pretrained weights with CNN finetune（PyTorch）|11|0|2021-09-17|
|184|[Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB](https://github.com/Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB)|This is a repository about PCB defect detection.|252|0|2022-02-10|
|185|[PaddlePaddle/PaddleSpatial](https://github.com/PaddlePaddle/PaddleSpatial)|PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle. |29|0|2021-12-17|
|186|[KoichiYasuoka/SuPar-Kanbun-1.3.4](https://github.com/KoichiYasuoka/SuPar-Kanbun-1.3.4)|Tokenizer POS-tagger and Dependency-parser for Classical Chinese|14|0|2021-12-16|
|187|[lures2019/lures2020-demos](https://github.com/lures2019/lures2020-demos)|lures2020年写的一些项目和程序|26|0|2021-09-11|
|188|[codecat0/CV](https://github.com/codecat0/CV)|本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络，图像生成网络等，并会持续更新！！！|15|0|2022-01-01|
|189|[EMUNES/Auto-Subtitle-File-Generation](https://github.com/EMUNES/Auto-Subtitle-File-Generation)|Generate subtitle files with timelines in an automatic way.|25|0|2021-11-09|
|190|[arjunmann73/Data-Analytics-Projects](https://github.com/arjunmann73/Data-Analytics-Projects)|:mag_right: Data analysis with real world data sets using Python :mag:|99|0|2021-10-16|
|191|[HuichuanLI/Recommand-Algorithme](https://github.com/HuichuanLI/Recommand-Algorithme)|推荐算法实战(Recommend algorithm)|37|0|2021-10-31|
|192|[Masterchiefm/Thirdparty-huawei-Share-OneHop](https://github.com/Masterchiefm/Thirdparty-huawei-Share-OneHop)|制作第三方华为一碰传标签/已完成历史使命，擦除标签的方案已整合入@汉客儿 最新工具。|96|0|2022-02-27|
|193|[moeheart/jx3bla](https://github.com/moeheart/jx3bla)|JX3 Battle Log Analyse|10|0|2021-12-06|
|194|[zll17/Neural_Topic_Models](https://github.com/zll17/Neural_Topic_Models)|Implementation of topic models based on neural network approaches.|232|0|2021-11-12|
|195|[SocratesAcademy/datascience](https://github.com/SocratesAcademy/datascience)|Introduction to Python Programming for Data Science|30|0|2022-01-13|
|196|[collective-action/tech](https://github.com/collective-action/tech)|Documentation of all collective action from tech workers.|186|0|2022-03-01|
|197|[BohriumKwong/Deep_learning_in_WSI](https://github.com/BohriumKwong/Deep_learning_in_WSI)|将深度学习用于病理图像分析以及Openslide和OpenCV使用入門資料|40|0|2022-02-09|
|198|[ShowMeAI-Hub/awesome-AI-cheatsheets](https://github.com/ShowMeAI-Hub/awesome-AI-cheatsheets)|AI与数据科学各类工具库速查表与参考代码|14|0|2021-12-18|
|199|[leolle/deep_learning](https://github.com/leolle/deep_learning)|projects about NLP knowledge graph, web crawling, word embedding, entity&relation extraction.|11|0|2021-11-10|
|200|[zhaihulu/DataScience](https://github.com/zhaihulu/DataScience)|-|20|0|2021-10-12|
|37|[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 ...|219|1|2022-03-01|
|38|[hansu1017/WSDM2022-Retention-Score-Prediction](https://github.com/hansu1017/WSDM2022-Retention-Score-Prediction)|WSDM2022留存预测挑战赛 第1名解决方案|48|1|2022-02-26|
|39|[tugstugi/dl-colab-notebooks](https://github.com/tugstugi/dl-colab-notebooks)|Try out deep learning models online on Google Colab|1308|1|2022-01-13|
|40|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|192|1|2022-02-01|
|41|[ypwhs/captcha_break](https://github.com/ypwhs/captcha_break)|验证码识别|2323|1|2022-02-25|
|42|[PaddlePaddle/Quantum](https://github.com/PaddlePaddle/Quantum)|-|339|1|2021-12-15|
|43|[wbbhcb/stock_market](https://github.com/wbbhcb/stock_market)|-|427|1|2021-11-01|
|44|[yutiansut/QAStrategy](https://github.com/yutiansut/QAStrategy)|策略基类/ 支持QIFI协议|203|0|2021-09-01|
|45|[OneOneLiu/ggcnn_cornell_dataset](https://github.com/OneOneLiu/ggcnn_cornell_dataset)|cornell grasp dataset analyses and process|25|0|2022-02-25|
|46|[Dustyposa/goSpider](https://github.com/Dustyposa/goSpider)|some small project and some articles|56|0|2021-12-03|
|47|[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|
|48|[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|
|49|[xiaonan8826/jeffindex](https://github.com/xiaonan8826/jeffindex)|-|10|0|2021-09-08|
|50|[imistyrain/MTCNN](https://github.com/imistyrain/MTCNN)|Realtime Face Detection and Head pose estimation on Windows、Ubuntu、Mac、Android and iOS|426|0|2022-01-27|
|51|[ryan4yin/knowledge](https://github.com/ryan4yin/knowledge)|Everything I know: DevOps & CloudNative, Music, etc...|29|0|2022-02-26|
|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|14|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|18|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|
|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|[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。|85|0|2021-11-02|
|59|[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|2022-02-14|
|60|[BSlience/rasa-conversational-ai](https://github.com/BSlience/rasa-conversational-ai)|Conversational AI based on Rasa|31|0|2022-02-11|
|61|[qwfy/doc-browser](https://github.com/qwfy/doc-browser)|A documentation browser with support for DevDocs, Dash and Hoogle, written in Haskell and QML|106|0|2021-10-09|
|62|[ybdesire/machinelearning](https://github.com/ybdesire/machinelearning)|My machine learning code written by python.|29|0|2021-11-19|
|63|[makelove/Programer_Log](https://github.com/makelove/Programer_Log)|最新动态在这里【我的程序员日志】|147|0|2021-09-03|
|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|242|0|2022-03-02|
|65|[moliqingwa/carbon_challenge](https://github.com/moliqingwa/carbon_challenge)|捕碳大作战|14|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 |95|0|2022-01-10|
|67|[wangzheng422/docker_env](https://github.com/wangzheng422/docker_env)|Personal working log and md documents. Currently forcus on openshift4.|78|0|2022-03-02|
|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|100|0|2022-02-11|
|69|[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|
|70|[zsc/kid-programming](https://github.com/zsc/kid-programming)|Programming exercises for kids (no prior programming experience required)|13|0|2021-11-05|
|71|[serengil/tensorflow-101](https://github.com/serengil/tensorflow-101)|TensorFlow 101: Introduction to Deep Learning|784|0|2022-02-15|
|72|[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|
|73|[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|
|74|[jackhuntcn/2021ccf_iqiyi_nlp](https://github.com/jackhuntcn/2021ccf_iqiyi_nlp)|-|16|0|2021-12-03|
|75|[IKMLab/course_material](https://github.com/IKMLab/course_material)|上課教材的大集合！！！|12|0|2021-09-08|
|76|[voidful/Phraseg](https://github.com/voidful/Phraseg)|Phraseg - 一言：新詞發現工具包|24|0|2021-11-30|
|77|[ypwhs/baiduyun_deeplearning_competition](https://github.com/ypwhs/baiduyun_deeplearning_competition)|百度云魅族深度学习应用大赛|404|0|2022-02-25|
|78|[markwk/ts4health](https://github.com/markwk/ts4health)|Time Series Data Analysis, Visualization and Forecasting with Python for Health and Self|15|0|2022-02-12|
|79|[areejokaili/topic_labelling](https://github.com/areejokaili/topic_labelling)|-|16|0|2022-02-10|
|80|[cviaai/VEINCV-RL](https://github.com/cviaai/VEINCV-RL)|Near-Infrared-to-Visible Vein Imaging via Convolutional Neural Networks and Reinforcement Learning|16|0|2022-02-15|
|81|[vespa-engine/sample-apps](https://github.com/vespa-engine/sample-apps)|Repository of sample applications|157|0|2022-03-01|
|82|[duoergun0729/adversarial_examples](https://github.com/duoergun0729/adversarial_examples)|对抗样本|163|0|2022-02-11|
|83|[chokkan/python](https://github.com/chokkan/python)|Python早見帳|29|0|2021-11-28|
|84|[zhouwei713/data_analysis](https://github.com/zhouwei713/data_analysis)|一些爬虫和数据分析相关实战练习|307|0|2022-01-26|
|85|[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|
|86|[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 |91|0|2021-09-27|
|87|[deepdialog/CPM-LM-TF2](https://github.com/deepdialog/CPM-LM-TF2)|-|207|0|2021-10-14|
|88|[wshuyi/demo-spacy-text-processing](https://github.com/wshuyi/demo-spacy-text-processing)|-|130|0|2022-01-21|
|89|[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|22|0|2022-01-13|
|90|[andy6804tw/2021-13th-ironman](https://github.com/andy6804tw/2021-13th-ironman)|第13屆iT邦幫忙鐵人賽|17|0|2021-12-07|
|91|[CIDO-ontology/cido](https://github.com/CIDO-ontology/cido)|CIDO: Coronavirus Infectious Disease Ontology|15|0|2022-02-07|
|92|[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|0|2021-12-18|
|93|[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|147|0|2022-02-13|
|94|[deepjavalibrary/d2l-java-zh](https://github.com/deepjavalibrary/d2l-java-zh)|-|11|0|2021-12-06|
|95|[xjtulyc/lyc_code](https://github.com/xjtulyc/lyc_code)|-|11|0|2021-11-29|
|96|[datawhalechina/powerful-numpy](https://github.com/datawhalechina/powerful-numpy)|巨硬的NumPy|66|0|2022-02-17|
|97|[X-lab2017/open-digger](https://github.com/X-lab2017/open-digger)|GitHub analysis tools|91|0|2022-03-02|
|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|2022-03-02|
|100|[neozhu/smartadmin.core.urf](https://github.com/neozhu/smartadmin.core.urf)|Domain Driven Design (DDD) lightweight development architecture(support .net 5.0)|97|0|2021-09-13|
|101|[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|
|102|[hktxt/Courses](https://github.com/hktxt/Courses)|An AI engineer Prepares / 算法工程师自我修养|22|0|2022-01-21|
|103|[KristiyanVachev/Leaf-Question-Generation](https://github.com/KristiyanVachev/Leaf-Question-Generation)|Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.|28|0|2022-02-02|
|104|[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|39|0|2021-11-10|
|105|[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|
|106|[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|
|107|[Liang-ZX/VectorNet](https://github.com/Liang-ZX/VectorNet)|Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”|68|0|2021-10-28|
|108|[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.|274|0|2022-01-06|
|109|[dr-guangtou/luandun](https://github.com/dr-guangtou/luandun)|Luandun: Chaotic but delicious|15|0|2021-11-27|
|110|[kevin-meng/financial_stock_knowledge_graph](https://github.com/kevin-meng/financial_stock_knowledge_graph)|base on chinese stock market data|64|0|2021-10-05|
|111|[deepintomlf/mlfbook](https://github.com/deepintomlf/mlfbook)|-|28|0|2021-09-26|
|112|[linguishi/chinese_sentiment](https://github.com/linguishi/chinese_sentiment)|中文情感分析，CNN，BI-LSTM，文本分类|367|0|2022-02-10|
|113|[hscspring/All4NLP](https://github.com/hscspring/All4NLP)|All For NLP, especially Chinese.|160|0|2021-10-22|
|114|[Prayforhanluo/CTR_Algorithm](https://github.com/Prayforhanluo/CTR_Algorithm)|一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM，xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,DIN, DIEN ... （pytorch, tf2.0）|44|0|2022-01-19|
|115|[W-Java/Population-Prediction](https://github.com/W-Java/Population-Prediction)|The future population of Singapore is predicted by SVM algorithm|15|0|2021-10-29|
|116|[lingjzhu/charsiu](https://github.com/lingjzhu/charsiu)|Charsiu: A neural phonetic aligner.|63|0|2022-02-12|
|117|[linbang/Metapath2vec](https://github.com/linbang/Metapath2vec)|使用DGL和pytorch实现metapath2vec|27|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)|83|0|2022-03-01|
|119|[WHUFT/WHU_FinTech_Workshop](https://github.com/WHUFT/WHU_FinTech_Workshop)|武汉大学金融科技研讨班|45|0|2022-02-22|
|120|[01ly/Codes](https://github.com/01ly/Codes)|不可能不会系列|29|0|2022-02-10|
|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)|-|103|0|2022-02-04|
|123|[evaseemefly/TyphoonSearchSys](https://github.com/evaseemefly/TyphoonSearchSys)|NMEFC——台风相似路径系统|10|0|2021-10-05|
|124|[Jackthebighead/duplicate-question-pair-identification](https://github.com/Jackthebighead/duplicate-question-pair-identification)|Three models are implemented for text similarity classification/STS problem on Quora Question Pairs dataset.|11|0|2021-11-12|
|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|2022-02-26|
|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|43|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 |62|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!|77|0|2022-02-10|
|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 ...|51|0|2021-09-04|
|130|[HowardNTUST/Marketing-Data-Science-Application](https://github.com/HowardNTUST/Marketing-Data-Science-Application)|-|96|0|2022-02-28|
|131|[cacolola/python-LEC](https://github.com/cacolola/python-LEC)|python数据分析基础|32|0|2022-02-21|
|132|[luiarthur/TuringBnpBenchmarks](https://github.com/luiarthur/TuringBnpBenchmarks)|Benchmarks of Bayesian Nonparametric models in Turing and other PPLs|24|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|584|0|2022-02-12|
|135|[dsh0416/quantum-i-ching](https://github.com/dsh0416/quantum-i-ching)|A Quantum 爻 System Implementation for Divination |94|0|2022-01-21|
|136|[chenmingxiang110/Chinese-automatic-speech-recognition](https://github.com/chenmingxiang110/Chinese-automatic-speech-recognition)|Chinese speech recognition|136|0|2021-09-13|
|137|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|99|0|2022-02-24|
|138|[nmcdev/meteva](https://github.com/nmcdev/meteva)|提供气象产品检验相关程序|129|0|2021-12-16|
|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)|-|43|0|2022-01-13|
|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 🐍|32|0|2022-01-01|
|142|[xiaomingnotes/sdu2021](https://github.com/xiaomingnotes/sdu2021)|sdu2021 traffic交通监控|12|0|2021-11-03|
|143|[huseinzol05/malay-dataset](https://github.com/huseinzol05/malay-dataset)|Text corpus for Bahasa Malaysia, https://malaya.readthedocs.io/en/latest/Dataset.html|163|0|2022-02-28|
|144|[alext234/coronavirus-stats](https://github.com/alext234/coronavirus-stats)|Automatically scrape data and statistics on Coronavirus to make them easily accessible in CSV format|47|0|2021-12-13|
|145|[AnzorGozalishvili/unsupervised_keyword_extraction](https://github.com/AnzorGozalishvili/unsupervised_keyword_extraction)|Unsupervised approach to keyword extraction|15|0|2022-02-10|
|146|[lcan520/BankCardRecognition](https://github.com/lcan520/BankCardRecognition)|基于python3.6+opencv3+tensorflow+cnn的银行卡识别|13|0|2021-10-05|
|147|[mapicccy/funcat](https://github.com/mapicccy/funcat)|Using very simple code to compute indicator of stock\crytocurrency. For example, MA(C, 5) means average closed-price for last 5 days.|16|0|2022-01-19|
|148|[polimi-ispl/deep_prior_interpolation](https://github.com/polimi-ispl/deep_prior_interpolation)|Interpolation of seismic data through Deep Priors|10|0|2021-10-12|
|149|[xinihe/jrxy_python_course](https://github.com/xinihe/jrxy_python_course)|Python in Finance |54|0|2021-12-20|
|150|[lingjzhu/probing-TTS-models](https://github.com/lingjzhu/probing-TTS-models)|Link to paper: https://www.isca-speech.org/archive_v0/SpeechProsody_2020/pdfs/51.pdf|26|0|2021-09-06|
|151|[hugo2046/Quantitative-analysis](https://github.com/hugo2046/Quantitative-analysis)|量化研究-券商金工研报复现|158|0|2022-02-24|
|152|[Sanzo00/files](https://github.com/Sanzo00/files)|托管代码和一些文件|10|0|2021-11-28|
|153|[svakulenk0/KBQA](https://github.com/svakulenk0/KBQA)|Complex Question Answering over Knowledge Graphs|82|0|2022-02-11|
|154|[makelove/True_Artificial_Intelligence](https://github.com/makelove/True_Artificial_Intelligence)|真AI人工智能|41|0|2022-03-02|
|155|[genkuroki/Statistics](https://github.com/genkuroki/Statistics)|Notes of Statistics|18|0|2022-02-18|
|156|[aws-samples/smart-cooler](https://github.com/aws-samples/smart-cooler)|-|22|0|2022-02-14|
|157|[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|81|0|2021-12-16|
|158|[dataforgoodfr/batch7_satellite_ges](https://github.com/dataforgoodfr/batch7_satellite_ges)|-|14|0|2021-09-28|
|159|[baidu/Quanlse](https://github.com/baidu/Quanlse)|-|28|0|2021-12-22|
|160|[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|
|161|[nwpc-oper/reki](https://github.com/nwpc-oper/reki)|A data tool in CEMC/CMA.|10|0|2021-11-24|
|162|[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|2022-03-02|
|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.|64|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|[brain-zhang/xianglong](https://github.com/brain-zhang/xianglong)|资产配置方案|179|0|2021-09-07|
|166|[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)|24|0|2021-09-16|
|167|[eval4nlp/SharedTask2021](https://github.com/eval4nlp/SharedTask2021)|-|13|0|2021-11-23|
|168|[azy1988/ML-CV](https://github.com/azy1988/ML-CV)|机器学习实战|118|0|2022-02-11|
|169|[edwardlikaiyuan/QiPy](https://github.com/edwardlikaiyuan/QiPy)|OLDLee的Python气象应用私教课|17|0|2021-09-12|
|170|[EmbraceLife/fastai_treasures](https://github.com/EmbraceLife/fastai_treasures)|digging the endless treasures of fastai|20|0|2022-02-26|
|171|[guyujun/pyrosetta-basic](https://github.com/guyujun/pyrosetta-basic)|-|56|0|2021-10-27|
|172|[IvanaXu/TianChiProj](https://github.com/IvanaXu/TianChiProj)|TianChiProj 天池|16|0|2021-11-21|
|173|[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|
|174|[mindspore-ai/docs](https://github.com/mindspore-ai/docs)|MindSpore document|145|0|2022-03-02|
|175|[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|
|176|[PanJinquan/python-learning-notes](https://github.com/PanJinquan/python-learning-notes)|代码|25|0|2022-01-13|
|177|[LogicJake/competition_baselines](https://github.com/LogicJake/competition_baselines)|开源的各大比赛baseline|284|0|2021-12-28|
|178|[DeepTrial/Retina-VesselNet](https://github.com/DeepTrial/Retina-VesselNet)|A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2|221|0|2022-02-09|
|179|[simbafl/Data-analysis](https://github.com/simbafl/Data-analysis)|数据分析，挖掘建模。|158|0|2022-01-02|
|180|[Sanzo00/ML-homework](https://github.com/Sanzo00/ML-homework)|吴恩达机器学习作业|15|0|2021-10-18|
|181|[zengwb-lx/yolov5-deepsort-pedestrian-counting](https://github.com/zengwb-lx/yolov5-deepsort-pedestrian-counting)|yolov5 + deepsort实现了行人计数功能， 统计摄像头内出现过的总人数，以及对穿越自定义黄线行人计数效果如下|47|0|2021-09-04|
|182|[tcmyxc/DL-AndrewNg](https://github.com/tcmyxc/DL-AndrewNg)|吴恩达深度学习2021年空白作业|17|0|2021-09-13|
|183|[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|93|0|2022-01-28|
|184|[lsh1994/remote_sensing_pretrained_models](https://github.com/lsh1994/remote_sensing_pretrained_models)|Remote Sensing pretrained weights with CNN finetune（PyTorch）|11|0|2021-09-17|
|185|[Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB](https://github.com/Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB)|This is a repository about PCB defect detection.|252|0|2022-02-10|
|186|[PaddlePaddle/PaddleSpatial](https://github.com/PaddlePaddle/PaddleSpatial)|PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle. |29|0|2021-12-17|
|187|[KoichiYasuoka/SuPar-Kanbun-1.3.4](https://github.com/KoichiYasuoka/SuPar-Kanbun-1.3.4)|Tokenizer POS-tagger and Dependency-parser for Classical Chinese|14|0|2021-12-16|
|188|[lures2019/lures2020-demos](https://github.com/lures2019/lures2020-demos)|lures2020年写的一些项目和程序|26|0|2021-09-11|
|189|[codecat0/CV](https://github.com/codecat0/CV)|本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络，图像生成网络等，并会持续更新！！！|15|0|2022-01-01|
|190|[EMUNES/Auto-Subtitle-File-Generation](https://github.com/EMUNES/Auto-Subtitle-File-Generation)|Generate subtitle files with timelines in an automatic way.|25|0|2021-11-09|
|191|[arjunmann73/Data-Analytics-Projects](https://github.com/arjunmann73/Data-Analytics-Projects)|:mag_right: Data analysis with real world data sets using Python :mag:|100|0|2021-10-16|
|192|[HuichuanLI/Recommand-Algorithme](https://github.com/HuichuanLI/Recommand-Algorithme)|推荐算法实战(Recommend algorithm)|37|0|2021-10-31|
|193|[Masterchiefm/Thirdparty-huawei-Share-OneHop](https://github.com/Masterchiefm/Thirdparty-huawei-Share-OneHop)|制作第三方华为一碰传标签/已完成历史使命，擦除标签的方案已整合入@汉客儿 最新工具。|96|0|2022-02-27|
|194|[moeheart/jx3bla](https://github.com/moeheart/jx3bla)|JX3 Battle Log Analyse|10|0|2021-12-06|
|195|[zll17/Neural_Topic_Models](https://github.com/zll17/Neural_Topic_Models)|Implementation of topic models based on neural network approaches.|232|0|2021-11-12|
|196|[SocratesAcademy/datascience](https://github.com/SocratesAcademy/datascience)|Introduction to Python Programming for Data Science|30|0|2022-01-13|
|197|[collective-action/tech](https://github.com/collective-action/tech)|Documentation of all collective action from tech workers.|186|0|2022-03-02|
|198|[BohriumKwong/Deep_learning_in_WSI](https://github.com/BohriumKwong/Deep_learning_in_WSI)|将深度学习用于病理图像分析以及Openslide和OpenCV使用入門資料|40|0|2022-02-09|
|199|[ShowMeAI-Hub/awesome-AI-cheatsheets](https://github.com/ShowMeAI-Hub/awesome-AI-cheatsheets)|AI与数据科学各类工具库速查表与参考代码|14|0|2021-12-18|
|200|[leolle/deep_learning](https://github.com/leolle/deep_learning)|projects about NLP knowledge graph, web crawling, word embedding, entity&relation extraction.|11|0|2021-11-10|
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<p><sub>↓ -- 感谢读者 -- ↓</sub></p>