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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: 2022-03-16&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: 2022-03-17&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|6643|4|2022-01-20|
|1|[MorvanZhou/PyTorch-Tutorial](https://github.com/MorvanZhou/PyTorch-Tutorial)|Build your neural network easy and fast, 莫烦Python中文教学|6644|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|5689|4|2022-03-10|
|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.|2785|4|2021-10-14|
|4|[NVIDIA/NeMo](https://github.com/NVIDIA/NeMo)|NeMo: a toolkit for conversational AI|3957|4|2022-03-15|
|5|[ljpzzz/machinelearning](https://github.com/ljpzzz/machinelearning)|My blogs and code for machine learning. http://cnblogs.com/pinard|6282|3|2021-10-01|
|6|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|1075|3|2022-03-15|
|7|[cleverhans-lab/cleverhans](https://github.com/cleverhans-lab/cleverhans)|An adversarial example library for constructing attacks, building defenses, and benchmarking both|5439|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|2187|3|2022-03-12|
|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.|2784|4|2021-10-14|
|4|[NVIDIA/NeMo](https://github.com/NVIDIA/NeMo)|NeMo: a toolkit for conversational AI|3960|4|2022-03-16|
|5|[ljpzzz/machinelearning](https://github.com/ljpzzz/machinelearning)|My blogs and code for machine learning. http://cnblogs.com/pinard|6286|3|2021-10-01|
|6|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|1109|3|2022-03-15|
|7|[cleverhans-lab/cleverhans](https://github.com/cleverhans-lab/cleverhans)|An adversarial example library for constructing attacks, building defenses, and benchmarking both|5441|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|2188|3|2022-03-12|
|9|[enpeizhao/CVprojects](https://github.com/enpeizhao/CVprojects)|computer vision projects 计算机视觉等好玩的AI项目|332|3|2022-03-07|
|10|[yoyoyo-yo/Gasyori100knock](https://github.com/yoyoyo-yo/Gasyori100knock)|image processing codes to understand algorithm|2015|2|2022-03-14|
|11|[matheusfacure/python-causality-handbook](https://github.com/matheusfacure/python-causality-handbook)|Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis. |1110|2|2022-03-13|
|12|[marcotcr/checklist](https://github.com/marcotcr/checklist)|Beyond Accuracy: Behavioral Testing of NLP models with CheckList|1611|2|2022-02-13|
|13|[AIZOOTech/FaceMaskDetection](https://github.com/AIZOOTech/FaceMaskDetection)|开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.|1760|2|2022-01-05|
|14|[snakers4/silero-models](https://github.com/snakers4/silero-models)|Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple|1266|2|2022-02-28|
|11|[matheusfacure/python-causality-handbook](https://github.com/matheusfacure/python-causality-handbook)|Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis. |1112|2|2022-03-13|
|12|[marcotcr/checklist](https://github.com/marcotcr/checklist)|Beyond Accuracy: Behavioral Testing of NLP models with CheckList|1615|2|2022-02-13|
|13|[AIZOOTech/FaceMaskDetection](https://github.com/AIZOOTech/FaceMaskDetection)|开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.|1762|2|2022-01-05|
|14|[snakers4/silero-models](https://github.com/snakers4/silero-models)|Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple|1267|2|2022-02-28|
|15|[hhiim/Lacan](https://github.com/hhiim/Lacan)|利用四层LSTM生成拉康精神分析黑话，用于讽刺（但过拟合……|88|2|2022-02-07|
|16|[juntang-zhuang/Adabelief-Optimizer](https://github.com/juntang-zhuang/Adabelief-Optimizer)|Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"|965|2|2022-03-05|
|17|[amaiya/ktrain](https://github.com/amaiya/ktrain)|ktrain is a Python library that makes deep learning and AI more accessible and easier to apply|967|1|2022-03-13|
|18|[TheEconomist/big-mac-data](https://github.com/TheEconomist/big-mac-data)|Data and methodology for the Big Mac index|1271|1|2022-02-04|
|17|[amaiya/ktrain](https://github.com/amaiya/ktrain)|ktrain is a Python library that makes deep learning and AI more accessible and easier to apply|968|1|2022-03-13|
|18|[TheEconomist/big-mac-data](https://github.com/TheEconomist/big-mac-data)|Data and methodology for the Big Mac index|1274|1|2022-02-04|
|19|[fastai/course20](https://github.com/fastai/course20)|Deep Learning for Coders, 2020, the website|739|1|2022-03-15|
|20|[gengyanlei/fire-smoke-detect-yolov4](https://github.com/gengyanlei/fire-smoke-detect-yolov4)|fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测|659|1|2021-10-29|
|21|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|171|1|2022-03-12|
|20|[gengyanlei/fire-smoke-detect-yolov4](https://github.com/gengyanlei/fire-smoke-detect-yolov4)|fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测|660|1|2021-10-29|
|21|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|175|1|2022-03-16|
|22|[FinMind/FinMind](https://github.com/FinMind/FinMind)|Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主)，每天更新 https://finmind.github.io/|1685|1|2022-03-08|
|23|[lxztju/pytorch_classification](https://github.com/lxztju/pytorch_classification)|利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码|811|1|2021-11-26|
|24|[chenghuige/pikachu2](https://github.com/chenghuige/pikachu2)|微信大数据2021 1st，qq浏览器2021 3rd，mind新闻推荐2020 1st，NAIC2020 AI+遥感影像 2nd|109|1|2021-11-17|
|24|[chenghuige/pikachu2](https://github.com/chenghuige/pikachu2)|微信大数据2021 1st，qq浏览器2021 3rd，mind新闻推荐2020 1st，NAIC2020 AI+遥感影像 2nd|109|1|2022-03-16|
|25|[datawhalechina/powerful-numpy](https://github.com/datawhalechina/powerful-numpy)|巨硬的NumPy|83|1|2022-03-04|
|26|[exacity/simplified-deeplearning](https://github.com/exacity/simplified-deeplearning)|Simplified implementations of deep learning related works|2398|1|2021-10-06|
|27|[hangsz/pandas-tutorial](https://github.com/hangsz/pandas-tutorial)|适合初级到中级晋升者，有了体系之后就看熟练度了。|1433|1|2022-01-15|
|28|[wowchemy/starter-hugo-academic](https://github.com/wowchemy/starter-hugo-academic)|🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.|1905|1|2022-03-13|
|29|[4paradigm/AutoX](https://github.com/4paradigm/AutoX)|AutoX is an efficient automl tool, which is mainly aimed at data mining competitions with tabular data.|202|1|2022-03-14|
|30|[kzbkzb/Python-AI](https://github.com/kzbkzb/Python-AI)|深度学习100例、深度学习DL、图片分类、目标识别、目标检测、自然语言处理nlp、文本分类、TensorFlow、PyTorch|95|1|2022-01-12|
|31|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.|88|1|2022-03-15|
|32|[Tiiiger/bert_score](https://github.com/Tiiiger/bert_score)|BERT score for text generation|844|1|2021-12-10|
|33|[zhongqiangwu960812/AI-RecommenderSystem](https://github.com/zhongqiangwu960812/AI-RecommenderSystem)|该仓库尝试整理推荐系统领域的一些经典算法模型|398|1|2022-02-22|
|28|[wowchemy/starter-hugo-academic](https://github.com/wowchemy/starter-hugo-academic)|🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.|1908|1|2022-03-13|
|29|[4paradigm/AutoX](https://github.com/4paradigm/AutoX)|AutoX is an efficient automl tool, which is mainly aimed at data mining competitions with tabular data.|205|1|2022-03-14|
|30|[kzbkzb/Python-AI](https://github.com/kzbkzb/Python-AI)|深度学习100例、深度学习DL、图片分类、目标识别、目标检测、自然语言处理nlp、文本分类、TensorFlow、PyTorch|97|1|2022-01-12|
|31|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.|88|1|2022-03-16|
|32|[Tiiiger/bert_score](https://github.com/Tiiiger/bert_score)|BERT score for text generation|845|1|2021-12-10|
|33|[zhongqiangwu960812/AI-RecommenderSystem](https://github.com/zhongqiangwu960812/AI-RecommenderSystem)|该仓库尝试整理推荐系统领域的一些经典算法模型|401|1|2022-02-22|
|34|[eastmountyxz/ImageProcessing-Python](https://github.com/eastmountyxz/ImageProcessing-Python)|该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。|880|1|2021-11-08|
|35|[d2l-ai/d2l-zh-pytorch-slides](https://github.com/d2l-ai/d2l-zh-pytorch-slides)|Pytorch版代码幻灯片|286|1|2022-03-15|
|36|[44670/SourceHanSans-Pixel](https://github.com/44670/SourceHanSans-Pixel)|基于思源黑体的开源像素字体|173|1|2022-01-03|
|37|[zslucky/awesome-AI-books](https://github.com/zslucky/awesome-AI-books)|Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning|986|1|2022-02-07|
|38|[LinXueyuanStdio/LaTeX_OCR_PRO](https://github.com/LinXueyuanStdio/LaTeX_OCR_PRO)|:art: 数学公式识别增强版：中英文手写印刷公式、支持初级符号推导（数据结构基于 LaTeX 抽象语法树）Math Formula OCR Pro, supports handwrite, Chinese-mixed formulas and simple symbol reasoning (based on LaTeX AST). |549|1|2022-03-11|
|39|[miracleyoo/pytorch-lightning-template](https://github.com/miracleyoo/pytorch-lightning-template)|An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all ...|239|1|2022-03-01|
|38|[LinXueyuanStdio/LaTeX_OCR_PRO](https://github.com/LinXueyuanStdio/LaTeX_OCR_PRO)|:art: 数学公式识别增强版：中英文手写印刷公式、支持初级符号推导（数据结构基于 LaTeX 抽象语法树）Math Formula OCR Pro, supports handwrite, Chinese-mixed formulas and simple symbol reasoning (based on LaTeX AST). |550|1|2022-03-11|
|39|[miracleyoo/pytorch-lightning-template](https://github.com/miracleyoo/pytorch-lightning-template)|An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all ...|242|1|2022-03-01|
|40|[hansu1017/WSDM-CUP-2022-Retention-Score-Prediction](https://github.com/hansu1017/WSDM-CUP-2022-Retention-Score-Prediction)|WSDM2022留存预测挑战赛 第1名解决方案|49|1|2022-02-26|
|41|[tugstugi/dl-colab-notebooks](https://github.com/tugstugi/dl-colab-notebooks)|Try out deep learning models online on Google Colab|1315|1|2022-03-10|
|42|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|193|1|2022-02-01|
|43|[ypwhs/captcha_break](https://github.com/ypwhs/captcha_break)|验证码识别|2332|1|2022-02-25|
|43|[ypwhs/captcha_break](https://github.com/ypwhs/captcha_break)|验证码识别|2333|1|2022-02-25|
|44|[PaddlePaddle/Quantum](https://github.com/PaddlePaddle/Quantum)|-|340|1|2021-12-15|
|45|[wbbhcb/stock_market](https://github.com/wbbhcb/stock_market)|-|433|1|2021-11-01|
|46|[OneOneLiu/ggcnn_cornell_dataset](https://github.com/OneOneLiu/ggcnn_cornell_dataset)|cornell grasp dataset analyses and process|26|0|2022-02-25|
|47|[Dustyposa/goSpider](https://github.com/Dustyposa/goSpider)|some small project and some articles|56|0|2021-12-03|
|48|[oegedijk/dash_oop_components](https://github.com/oegedijk/dash_oop_components)|OOP components for plotly dash that make dashboard components composable, reusable and configurable|27|0|2022-03-01|
|49|[imistyrain/MTCNN](https://github.com/imistyrain/MTCNN)|Realtime Face Detection and Head pose estimation on Windows、Ubuntu、Mac、Android and iOS|427|0|2022-01-27|
|50|[ryan4yin/knowledge](https://github.com/ryan4yin/knowledge)|Everything I know: DevOps & CloudNative, Music, etc...|31|0|2022-03-15|
|50|[ryan4yin/knowledge](https://github.com/ryan4yin/knowledge)|Everything I know: DevOps & CloudNative, Music, etc...|31|0|2022-03-16|
|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|15|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|19|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|
@@ -68,9 +68,9 @@
|61|[ybdesire/machinelearning](https://github.com/ybdesire/machinelearning)|My machine learning code written by python.|30|0|2021-11-19|
|62|[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|245|0|2022-03-11|
|63|[moliqingwa/carbon_challenge](https://github.com/moliqingwa/carbon_challenge)|捕碳大作战|14|0|2021-12-22|
|64|[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 |96|0|2022-01-10|
|65|[wangzheng422/docker_env](https://github.com/wangzheng422/docker_env)|Personal working log and md documents. Currently forcus on openshift4.|79|0|2022-03-15|
|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|117|0|2022-02-11|
|64|[covid-19-net/covid-19-community](https://github.com/covid-19-net/covid-19-community)| Community effort to build a Neo4j Knowledge Graph (KG) that links heterogeneous data about COVID-19 |97|0|2022-01-10|
|65|[wangzheng422/docker_env](https://github.com/wangzheng422/docker_env)|Personal working log and md documents. Currently forcus on openshift4.|79|0|2022-03-16|
|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|121|0|2022-02-11|
|67|[PiperLiu/CS-courses-notes](https://github.com/PiperLiu/CS-courses-notes)|✨终生持续更新✨ 计算机基础自学笔记/心得/实验/资源汇总；C语言为主，课程：数据结构、操作系统（MIT6.S081）等|117|0|2022-03-15|
|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|
@@ -83,8 +83,8 @@
|76|[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|
|77|[areejokaili/topic_labelling](https://github.com/areejokaili/topic_labelling)|-|17|0|2022-02-10|
|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|2022-03-12|
|79|[vespa-engine/sample-apps](https://github.com/vespa-engine/sample-apps)|Repository of sample applications|158|0|2022-03-15|
|80|[duoergun0729/adversarial_examples](https://github.com/duoergun0729/adversarial_examples)|对抗样本|167|0|2022-03-11|
|79|[vespa-engine/sample-apps](https://github.com/vespa-engine/sample-apps)|Repository of sample applications|158|0|2022-03-16|
|80|[duoergun0729/adversarial_examples](https://github.com/duoergun0729/adversarial_examples)|对抗样本|168|0|2022-03-11|
|81|[chokkan/python](https://github.com/chokkan/python)|Python早見帳|65|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|308|0|2022-01-26|
|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|
@@ -92,7 +92,7 @@
|85|[deepdialog/CPM-LM-TF2](https://github.com/deepdialog/CPM-LM-TF2)|-|208|0|2021-10-14|
|86|[wshuyi/demo-spacy-text-processing](https://github.com/wshuyi/demo-spacy-text-processing)|-|130|0|2022-01-21|
|87|[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|2022-03-12|
|88|[andy6804tw/2021-13th-ironman](https://github.com/andy6804tw/2021-13th-ironman)|第13屆iT邦幫忙鐵人賽|17|0|2022-03-11|
|88|[andy6804tw/2021-13th-ironman](https://github.com/andy6804tw/2021-13th-ironman)|第13屆iT邦幫忙鐵人賽|18|0|2022-03-11|
|89|[CIDO-ontology/cido](https://github.com/CIDO-ontology/cido)|CIDO: Coronavirus Infectious Disease Ontology|16|0|2022-03-15|
|90|[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|
|91|[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|2022-02-13|
@@ -100,7 +100,7 @@
|93|[xjtulyc/lyc_code](https://github.com/xjtulyc/lyc_code)|-|11|0|2021-11-29|
|94|[X-lab2017/open-digger](https://github.com/X-lab2017/open-digger)|GitHub analysis tools|93|0|2022-03-14|
|95|[dglai/maxp_baseline_model](https://github.com/dglai/maxp_baseline_model)|-|67|0|2021-11-05|
|96|[Quantum-Dynamics-Hub/libra-code](https://github.com/Quantum-Dynamics-Hub/libra-code)|-|26|0|2022-03-14|
|96|[Quantum-Dynamics-Hub/libra-code](https://github.com/Quantum-Dynamics-Hub/libra-code)|-|26|0|2022-03-16|
|97|[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|
|98|[hktxt/Courses](https://github.com/hktxt/Courses)|An AI engineer Prepares / 算法工程师自我修养|22|0|2022-03-11|
|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.|30|0|2022-03-07|
@@ -110,7 +110,7 @@
|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”|69|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.|275|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|66|0|2021-10-05|
|106|[kevin-meng/financial_stock_knowledge_graph](https://github.com/kevin-meng/financial_stock_knowledge_graph)|base on chinese stock market data|67|0|2021-10-05|
|107|[lyj157175/nlp_projects](https://github.com/lyj157175/nlp_projects)|NLP实战项目|16|0|2022-03-05|
|108|[deepintomlf/mlfbook](https://github.com/deepintomlf/mlfbook)|-|27|0|2021-09-26|
|109|[linguishi/chinese_sentiment](https://github.com/linguishi/chinese_sentiment)|中文情感分析，CNN，BI-LSTM，文本分类|372|0|2022-02-10|
@@ -137,9 +137,9 @@
|130|[luiarthur/TuringBnpBenchmarks](https://github.com/luiarthur/TuringBnpBenchmarks)|Benchmarks of Bayesian Nonparametric models in Turing and other PPLs|23|0|2022-02-11|
|131|[JuliaCN/juliacn.github.io](https://github.com/JuliaCN/juliacn.github.io)|Source code for cn.julialang.org|15|0|2021-12-21|
|132|[patrick-llgc/Learning-Deep-Learning](https://github.com/patrick-llgc/Learning-Deep-Learning)|Paper reading notes on Deep Learning and Machine Learning|585|0|2022-02-12|
|133|[nyukat/GMIC](https://github.com/nyukat/GMIC)|An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization|101|0|2022-03-06|
|133|[nyukat/GMIC](https://github.com/nyukat/GMIC)|An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization|102|0|2022-03-06|
|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|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|100|0|2022-02-24|
|135|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|101|0|2022-02-24|
|136|[nmcdev/meteva](https://github.com/nmcdev/meteva)|提供气象产品检验相关程序|130|0|2022-03-03|
|137|[lvxingchang/Interesting-python](https://github.com/lvxingchang/Interesting-python)|-|49|0|2021-10-21|
|138|[polarisZhao/pytorch-cookbook](https://github.com/polarisZhao/pytorch-cookbook)|-|44|0|2022-03-12|
@@ -174,12 +174,12 @@
|167|[guyujun/pyrosetta-basic](https://github.com/guyujun/pyrosetta-basic)|-|56|0|2021-10-27|
|168|[IvanaXu/TianChiProj](https://github.com/IvanaXu/TianChiProj)|TianChiProj 天池|16|0|2021-11-21|
|169|[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|18|0|2021-12-22|
|170|[mindspore-ai/docs](https://github.com/mindspore-ai/docs)|MindSpore document|144|0|2022-03-15|
|170|[mindspore-ai/docs](https://github.com/mindspore-ai/docs)|MindSpore document|144|0|2022-03-16|
|171|[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|
|172|[PanJinquan/python-learning-notes](https://github.com/PanJinquan/python-learning-notes)|代码|27|0|2022-03-12|
|173|[LogicJake/competition_baselines](https://github.com/LogicJake/competition_baselines)|开源的各大比赛baseline|293|0|2022-03-08|
|174|[DeepTrial/Retina-VesselNet](https://github.com/DeepTrial/Retina-VesselNet)|A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2|224|0|2022-02-09|
|175|[simbafl/Data-analysis](https://github.com/simbafl/Data-analysis)|数据分析，挖掘建模。|159|0|2022-01-02|
|175|[simbafl/Data-analysis](https://github.com/simbafl/Data-analysis)|数据分析，挖掘建模。|160|0|2022-01-02|
|176|[Sanzo00/ML-homework](https://github.com/Sanzo00/ML-homework)|吴恩达机器学习作业|21|0|2021-10-18|
|177|[RanFeng/NumpyFlow](https://github.com/RanFeng/NumpyFlow)|使用numpy搭建自己的简易深度学习框架|17|0|2022-03-08|
|178|[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|95|0|2022-01-28|
@@ -188,19 +188,19 @@
|181|[PaddlePaddle/PaddleSpatial](https://github.com/PaddlePaddle/PaddleSpatial)|PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle. |30|0|2022-03-15|
|182|[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|
|183|[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|
|184|[EMUNES/Auto-Subtitle-File-Generation](https://github.com/EMUNES/Auto-Subtitle-File-Generation)|Generate subtitle files with timelines in an automatic way.|28|0|2021-11-09|
|185|[arjunmann73/Data-Analytics-Projects](https://github.com/arjunmann73/Data-Analytics-Projects)|:mag_right: Data analysis with real world data sets using Python :mag:|104|0|2021-10-16|
|184|[EMUNES/Auto-Subtitle-File-Generation](https://github.com/EMUNES/Auto-Subtitle-File-Generation)|Generate subtitle files with timelines in an automatic way.|29|0|2021-11-09|
|185|[arjunmann73/Data-Analytics-Projects](https://github.com/arjunmann73/Data-Analytics-Projects)|:mag_right: Data analysis with real world data sets using Python :mag:|105|0|2021-10-16|
|186|[HuichuanLI/Recommand-Algorithme](https://github.com/HuichuanLI/Recommand-Algorithme)|推荐算法实战(Recommend algorithm)|37|0|2021-10-31|
|187|[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|
|188|[moeheart/jx3bla](https://github.com/moeheart/jx3bla)|JX3 Battle Log Analyse|10|0|2021-12-06|
|189|[zll17/Neural_Topic_Models](https://github.com/zll17/Neural_Topic_Models)|Implementation of topic models based on neural network approaches.|237|0|2021-11-12|
|190|[SocratesAcademy/datascience](https://github.com/SocratesAcademy/datascience)|Introduction to Python Programming for Data Science|30|0|2022-03-11|
|191|[collective-action/tech](https://github.com/collective-action/tech)|Documentation of all collective action from tech workers.|188|0|2022-03-08|
|192|[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|42|0|2022-02-09|
|192|[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|44|0|2022-02-09|
|193|[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|17|0|2021-12-18|
|194|[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|
|195|[zhaihulu/DataScience](https://github.com/zhaihulu/DataScience)|-|21|0|2021-10-12|
|196|[cliuxinxin/TX-WORD2VEC-SMALL](https://github.com/cliuxinxin/TX-WORD2VEC-SMALL)|腾讯word2vec模型缩小版|404|0|2022-02-21|
|196|[cliuxinxin/TX-WORD2VEC-SMALL](https://github.com/cliuxinxin/TX-WORD2VEC-SMALL)|腾讯word2vec模型缩小版|405|0|2022-02-21|
|197|[chengjun/mybook](https://github.com/chengjun/mybook)|My Lectures on Computational Communication |23|0|2022-01-13|
|198|[libingbingdev/Alzheimer](https://github.com/libingbingdev/Alzheimer)|阿尔兹海默症的识别--DataFountain|12|0|2021-10-27|
|199|[jonatasgrosman/wav2vec2-sprint](https://github.com/jonatasgrosman/wav2vec2-sprint)|-|49|0|2022-02-22|