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# 中文增速榜 > 软件类 > Jupyter Notebook
数据更新: 2022-01-11 / 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
|#|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|5509|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.|2765|4|2021-10-14|
|3|[NVIDIA/NeMo](https://github.com/NVIDIA/NeMo)|NeMo: a toolkit for conversational AI|3748|4|2022-01-11|
|4|[ljpzzz/machinelearning](https://github.com/ljpzzz/machinelearning)|My blogs and code for machine learning. http://cnblogs.com/pinard|6063|3|2021-10-01|
|5|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|825|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|5379|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|2105|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|[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|102|2|2021-11-17|
|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.|428|2|2022-01-07|
|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|1191|2|2021-12-21|
|14|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|183|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|937|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|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|609|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/|1630|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|760|1|2021-11-26|
|23|[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|
|24|[exacity/simplified-deeplearning](https://github.com/exacity/simplified-deeplearning)|Simplified implementations of deep learning related works|2390|1|2021-10-06|
|25|[dglai/maxp_baseline_model](https://github.com/dglai/maxp_baseline_model)|-|67|1|2021-11-05|
|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.|1780|1|2022-01-09|
|27|[davidfrz/yolov5_distance_count](https://github.com/davidfrz/yolov5_distance_count)|使用yolov5，双目摄像头进行测距|110|1|2021-07-16|
|28|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package developed for transportation spatio-temporal big data processing, analysis and visualization.|49|1|2022-01-10|
|29|[luo3300612/Visualizer](https://github.com/luo3300612/Visualizer)|assistant tools for attention visualization in deep learning|200|1|2021-08-11|
|30|[Tiiiger/bert_score](https://github.com/Tiiiger/bert_score)|BERT score for text generation|792|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|333|1|2021-10-09|
|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。|826|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|257|1|2021-12-23|
|34|[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|
|35|[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|
|36|[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|[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|
|38|[PaddlePaddle/Quantum](https://github.com/PaddlePaddle/Quantum)|-|333|1|2021-12-15|
|39|[wbbhcb/stock_market](https://github.com/wbbhcb/stock_market)|-|406|1|2021-11-01|
|40|[yutiansut/QAStrategy](https://github.com/yutiansut/QAStrategy)|策略基类/ 支持QIFI协议|201|0|2021-09-01|
|41|[OneOneLiu/ggcnn_cornell_dataset](https://github.com/OneOneLiu/ggcnn_cornell_dataset)|cornell grasp dataset analyses and process|22|0|2022-01-04|
|42|[Dustyposa/goSpider](https://github.com/Dustyposa/goSpider)|some small project and some articles|56|0|2021-12-03|
|43|[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|
|44|[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|
|45|[xiaonan8826/jeffindex](https://github.com/xiaonan8826/jeffindex)|-|10|0|2021-09-08|
|46|[ryan4yin/knowledge](https://github.com/ryan4yin/knowledge)|Everything I know: DevOps & CloudNative, Music, etc...|26|0|2022-01-10|
|47|[aipredict/ai-deployment](https://github.com/aipredict/ai-deployment)|关注AI模型上线、模型部署|134|0|2021-07-15|
|48|[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|
|49|[isee15/Card-Ocr](https://github.com/isee15/Card-Ocr)|身份证识别OCR|378|0|2021-09-22|
|50|[xieyan0811/pdfconv](https://github.com/xieyan0811/pdfconv)|中文PDF转TXT的实用工具|17|0|2021-10-13|
|51|[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|
|52|[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。|82|0|2021-11-02|
|53|[JoeShi/rasa-chinese-workshop](https://github.com/JoeShi/rasa-chinese-workshop)|利用 RASA 构建智能对话机器人|16|0|2021-08-24|
|54|[jajupmochi/graphkit-learn](https://github.com/jajupmochi/graphkit-learn)|A python package for graph kernels, graph edit distances, and graph pre-image problem.|72|0|2021-12-02|
|55|[LobbyBoy-Dray/PyShare](https://github.com/LobbyBoy-Dray/PyShare)|北京大学金融科技协会Python系列讲座，Lecture notes & Extended reading|15|0|2021-08-06|
|56|[BSlience/rasa-conversational-ai](https://github.com/BSlience/rasa-conversational-ai)|Conversational AI based on Rasa|29|0|2021-10-29|
|57|[qwfy/doc-browser](https://github.com/qwfy/doc-browser)|A documentation browser with support for DevDocs, Dash and Hoogle, written in Haskell and QML|103|0|2021-10-09|
|58|[ybdesire/machinelearning](https://github.com/ybdesire/machinelearning)|My machine learning code written by python.|29|0|2021-11-19|
|59|[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|
|60|[ZhiqingXiao/OpenAIGymSolution](https://github.com/ZhiqingXiao/OpenAIGymSolution)|Solutions to OpenAI Gym|10|0|2021-08-22|
|61|[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|
|62|[moliqingwa/carbon_challenge](https://github.com/moliqingwa/carbon_challenge)|捕碳大作战|16|0|2021-12-22|
|63|[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|
|64|[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|
|65|[wangzheng422/docker_env](https://github.com/wangzheng422/docker_env)|Personal working log and md documents. Currently forcus on openshift4.|75|0|2022-01-10|
|66|[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|
|67|[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]。|13|0|2021-10-27|
|68|[zsc/kid-programming](https://github.com/zsc/kid-programming)|Programming exercises for kids (no prior programming experience required)|13|0|2021-11-05|
|69|[serengil/tensorflow-101](https://github.com/serengil/tensorflow-101)|TensorFlow 101: Introduction to Deep Learning|761|0|2022-01-10|
|70|[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|
|71|[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|
|72|[jackhuntcn/2021ccf_iqiyi_nlp](https://github.com/jackhuntcn/2021ccf_iqiyi_nlp)|-|15|0|2021-12-03|
|73|[IKMLab/course_material](https://github.com/IKMLab/course_material)|上課教材的大集合！！！|12|0|2021-09-08|
|74|[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|
|75|[voidful/Phraseg](https://github.com/voidful/Phraseg)|Phraseg - 一言：新詞發現工具包|24|0|2021-11-30|
|76|[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|
|77|[areejokaili/topic_labelling](https://github.com/areejokaili/topic_labelling)|-|16|0|2021-12-22|
|78|[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|
|79|[vespa-engine/sample-apps](https://github.com/vespa-engine/sample-apps)|Repository of sample applications|153|0|2022-01-10|
|80|[duoergun0729/adversarial_examples](https://github.com/duoergun0729/adversarial_examples)|对抗样本|158|0|2021-12-13|
|81|[chokkan/python](https://github.com/chokkan/python)|Python早見帳|17|0|2021-11-28|
|82|[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|
|83|[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|
|84|[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|
|85|[deepdialog/CPM-LM-TF2](https://github.com/deepdialog/CPM-LM-TF2)|-|201|0|2021-10-14|
|86|[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|
|87|[CIDO-ontology/cido](https://github.com/CIDO-ontology/cido)|CIDO: Coronavirus Infectious Disease Ontology|14|0|2021-09-08|
|88|[wshuyi/demo-chinese-text-binary-classification-with-bert](https://github.com/wshuyi/demo-chinese-text-binary-classification-with-bert)|-|325|0|2021-07-13|
|89|[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|
|90|[deepjavalibrary/d2l-java-zh](https://github.com/deepjavalibrary/d2l-java-zh)|-|11|0|2021-12-06|
|91|[boyu-ai/Hands-on-RL](https://github.com/boyu-ai/Hands-on-RL)|https://hrl.boyuai.com/|39|0|2021-08-14|
|92|[xjtulyc/lyc_code](https://github.com/xjtulyc/lyc_code)|-|11|0|2021-11-29|
|93|[Quantum-Dynamics-Hub/libra-code](https://github.com/Quantum-Dynamics-Hub/libra-code)|-|23|0|2022-01-06|
|94|[sunnyswag/StockRL](https://github.com/sunnyswag/StockRL)|在A股(股票)市场上训练强化学习交易智能体|36|0|2021-08-28|
|95|[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|
|96|[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|2022-01-09|
|97|[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|
|98|[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|
|99|[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|
|100|[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|
|101|[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|
|102|[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|
|103|[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|
|104|[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|
|105|[dr-guangtou/luandun](https://github.com/dr-guangtou/luandun)|Luandun: Chaotic but delicious|15|0|2021-11-27|
|106|[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|
|107|[deepintomlf/mlfbook](https://github.com/deepintomlf/mlfbook)|-|26|0|2021-09-26|
|108|[linguishi/chinese_sentiment](https://github.com/linguishi/chinese_sentiment)|中文情感分析，CNN，BI-LSTM，文本分类|344|0|2021-12-02|
|109|[hscspring/All4NLP](https://github.com/hscspring/All4NLP)|All For NLP, especially Chinese.|159|0|2021-10-22|
|110|[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）|27|0|2022-01-04|
|111|[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|
|112|[ImpulsoGov/farolcovid](https://github.com/ImpulsoGov/farolcovid)|🚦🏥. Ferramenta de monitoramento do risco de colapso no sistema de saúde em municípios brasileiros com a Covid-19 • Monitoring tool & simulation of the risk of collapse in Brazilian municipalities' hea ...|46|0|2021-07-20|
|113|[lingjzhu/charsiu](https://github.com/lingjzhu/charsiu)|Charsiu: A neural phonetic aligner.|48|0|2022-01-05|
|114|[linbang/Metapath2vec](https://github.com/linbang/Metapath2vec)|使用DGL和pytorch实现metapath2vec|24|0|2021-09-17|
|115|[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|
|116|[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|
|117|[01ly/Codes](https://github.com/01ly/Codes)|不可能不会系列|29|0|2021-09-08|
|118|[RenShuhuai-Andy/my-tools](https://github.com/RenShuhuai-Andy/my-tools)|my commonly-used tools|11|0|2021-11-29|
|119|[jonnor/embeddedml](https://github.com/jonnor/embeddedml)|-|102|0|2022-01-02|
|120|[evaseemefly/TyphoonSearchSys](https://github.com/evaseemefly/TyphoonSearchSys)|NMEFC——台风相似路径系统|10|0|2021-10-05|
|121|[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|
|122|[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|
|123|[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|
|124|[JuliaCN/MeetUpMaterials](https://github.com/JuliaCN/MeetUpMaterials)|Julia中文社区活动的各种材料 Meetup Materials |60|0|2021-12-23|
|125|[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|
|126|[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 ...|45|0|2021-09-04|
|127|[HowardNTUST/Marketing-Data-Science-Application](https://github.com/HowardNTUST/Marketing-Data-Science-Application)|-|94|0|2021-12-22|
|128|[cacolola/python-LEC](https://github.com/cacolola/python-LEC)|python数据分析基础|31|0|2021-09-14|
|129|[luiarthur/TuringBnpBenchmarks](https://github.com/luiarthur/TuringBnpBenchmarks)|Benchmarks of Bayesian Nonparametric models in Turing and other PPLs|24|0|2021-11-10|
|130|[JuliaCN/juliacn.github.io](https://github.com/JuliaCN/juliacn.github.io)|Source code for cn.julialang.org|15|0|2021-12-21|
|131|[patrick-llgc/Learning-Deep-Learning](https://github.com/patrick-llgc/Learning-Deep-Learning)|Paper reading notes on Deep Learning and Machine Learning|554|0|2022-01-01|
|132|[dsh0416/quantum-i-ching](https://github.com/dsh0416/quantum-i-ching)|A Quantum 爻 System Implementation for Divination |94|0|2022-01-07|
|133|[chenmingxiang110/Chinese-automatic-speech-recognition](https://github.com/chenmingxiang110/Chinese-automatic-speech-recognition)|Chinese speech recognition|251|0|2021-09-13|
|134|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|93|0|2022-01-10|
|135|[nmcdev/meteva](https://github.com/nmcdev/meteva)|提供气象产品检验相关程序|126|0|2021-12-16|
|136|[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|31|0|2022-01-07|
|137|[lvxingchang/Interesting-python](https://github.com/lvxingchang/Interesting-python)|-|54|0|2021-10-21|
|138|[polarisZhao/pytorch-cookbook](https://github.com/polarisZhao/pytorch-cookbook)|-|39|0|2021-09-08|
|139|[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|
|140|[xiaomingnotes/sdu2021](https://github.com/xiaomingnotes/sdu2021)|sdu2021 traffic交通监控|12|0|2021-11-03|
|141|[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|
|142|[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|
|143|[AnzorGozalishvili/unsupervised_keyword_extraction](https://github.com/AnzorGozalishvili/unsupervised_keyword_extraction)|Unsupervised approach to keyword extraction|14|0|2021-08-25|
|144|[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|
|145|[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|2021-12-05|
|146|[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|
|147|[sunyingjian/numpy-](https://github.com/sunyingjian/numpy-)|开源的测井数据集 Open source well logging data set|12|0|2021-08-13|
|148|[paudetseis/PlateFlex](https://github.com/paudetseis/PlateFlex)|Estimating effective elastic thickness of the lithosphere|18|0|2021-08-30|
|149|[xinihe/jrxy_python_course](https://github.com/xinihe/jrxy_python_course)|Python in Finance |53|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|25|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|134|0|2021-12-29|
|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|81|0|2021-08-25|
|154|[makelove/True_Artificial_Intelligence](https://github.com/makelove/True_Artificial_Intelligence)|真AI人工智能|38|0|2021-12-13|
|155|[genkuroki/Statistics](https://github.com/genkuroki/Statistics)|Notes of Statistics|18|0|2021-07-27|
|156|[aws-samples/smart-cooler](https://github.com/aws-samples/smart-cooler)|-|22|0|2021-09-28|
|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|80|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>|19|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|2021-10-06|
|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|40|0|2021-11-07|
|165|[brain-zhang/xianglong](https://github.com/brain-zhang/xianglong)|资产配置方案|176|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)|23|0|2021-09-16|
|167|[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|
|168|[eval4nlp/SharedTask2021](https://github.com/eval4nlp/SharedTask2021)|-|13|0|2021-11-23|
|169|[azy1988/ML-CV](https://github.com/azy1988/ML-CV)|机器学习实战|116|0|2021-09-08|
|170|[EmbraceLife/fastai_treasures](https://github.com/EmbraceLife/fastai_treasures)|digging the endless treasures of fastai|19|0|2021-09-27|
|171|[guyujun/pyrosetta-basic](https://github.com/guyujun/pyrosetta-basic)|-|47|0|2021-10-27|
|172|[IvanaXu/TianChiProj](https://github.com/IvanaXu/TianChiProj)|TianChiProj 天池|17|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|[cyang03/CHECKED](https://github.com/cyang03/CHECKED)|-|23|0|2021-08-22|
|175|[mindspore-ai/docs](https://github.com/mindspore-ai/docs)|MindSpore document|146|0|2022-01-07|
|176|[mindslab-ai/wavegrad2](https://github.com/mindslab-ai/wavegrad2)|Unofficial Pytorch Implementation of WaveGrad2|83|0|2021-08-18|
|177|[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|
|178|[PanJinquan/python-learning-notes](https://github.com/PanJinquan/python-learning-notes)|代码|25|0|2021-10-12|
|179|[derekhe/mobike-crawler](https://github.com/derekhe/mobike-crawler)|摩拜单车爬虫|262|0|2021-07-26|
|180|[LogicJake/competition_baselines](https://github.com/LogicJake/competition_baselines)|开源的各大比赛baseline|271|0|2021-12-28|
|181|[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|
|182|[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|42|0|2021-09-04|
|183|[tcmyxc/DL-AndrewNg](https://github.com/tcmyxc/DL-AndrewNg)|吴恩达深度学习2021年空白作业|12|0|2021-09-13|
|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.|241|0|2021-11-10|
|186|[PaddlePaddle/PaddleSpatial](https://github.com/PaddlePaddle/PaddleSpatial)|PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle. |26|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|[feng-li/Distributed-Statistical-Computing](https://github.com/feng-li/Distributed-Statistical-Computing)|Teaching Materials for Distributed Statistical Computing (大数据分布式计算教学材料)|77|0|2021-12-09|
|190|[EMUNES/Auto-Subtitle-File-Generation](https://github.com/EMUNES/Auto-Subtitle-File-Generation)|Generate subtitle files with timelines in an automatic way.|21|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:|81|0|2021-10-16|
|192|[HuichuanLI/Recommand-Algorithme](https://github.com/HuichuanLI/Recommand-Algorithme)|推荐算法实战(Recommend algorithm)|32|0|2021-10-31|
|193|[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|
|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.|205|0|2021-11-12|
|196|[SocratesAcademy/datascience](https://github.com/SocratesAcademy/datascience)|Introduction to Python Programming for Data Science|30|0|2021-09-08|
|197|[collective-action/tech](https://github.com/collective-action/tech)|Documentation of all collective action from tech workers.|184|0|2022-01-10|
|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|37|0|2021-10-12|
|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)|-|19|0|2021-10-12|