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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>
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# 中文总榜 > 软件类 > Jupyter Notebook
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<sub>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</sub>
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|#|Repository|Description|Stars|Updated|
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|1|[ljpzzz/machinelearning](https://github.com/ljpzzz/machinelearning)|My blogs and code for machine learning. http://cnblogs.com/pinard|6063|2021-10-01|
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|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|5509|2022-01-10|
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|3|[cleverhans-lab/cleverhans](https://github.com/cleverhans-lab/cleverhans)|An adversarial example library for constructing attacks, building defenses, and benchmarking both|5379|2021-12-26|
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|4|[NVIDIA/NeMo](https://github.com/NVIDIA/NeMo)|NeMo: a toolkit for conversational AI|3748|2022-01-11|
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|5|[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|2021-10-14|
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|6|[exacity/simplified-deeplearning](https://github.com/exacity/simplified-deeplearning)|Simplified implementations of deep learning related works|2390|2021-10-06|
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|7|[wangshub/RL-Stock](https://github.com/wangshub/RL-Stock)|📈 如何用深度强化学习自动炒股|2105|2021-09-08|
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|8|[yoyoyo-yo/Gasyori100knock](https://github.com/yoyoyo-yo/Gasyori100knock)|image processing codes to understand algorithm|1991|2021-11-21|
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|9|[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|2022-01-09|
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|10|[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|2022-01-05|
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|11|[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|2021-12-13|
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|12|[marcotcr/checklist](https://github.com/marcotcr/checklist)|Beyond Accuracy: Behavioral Testing of NLP models with CheckList|1556|2021-11-23|
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|13|[tugstugi/dl-colab-notebooks](https://github.com/tugstugi/dl-colab-notebooks)|Try out deep learning models online on Google Colab|1275|2021-11-16|
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|14|[TheEconomist/big-mac-data](https://github.com/TheEconomist/big-mac-data)|Data and methodology for the Big Mac index|1224|2021-07-26|
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|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|1191|2021-12-21|
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|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|937|2022-01-06|
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|17|[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|2021-11-08|
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|18|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|825|2021-12-29|
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|19|[Tiiiger/bert_score](https://github.com/Tiiiger/bert_score)|BERT score for text generation|792|2021-12-10|
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|20|[serengil/tensorflow-101](https://github.com/serengil/tensorflow-101)|TensorFlow 101: Introduction to Deep Learning|761|2022-01-10|
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|21|[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|2021-11-26|
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|22|[fastai/course20](https://github.com/fastai/course20)|Deep Learning for Coders, 2020, the website|700|2021-12-16|
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|23|[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|2021-10-29|
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|24|[LYuhang/GNN_Review](https://github.com/LYuhang/GNN_Review)|GNN综述阅读报告|558|2021-08-17|
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|25|[patrick-llgc/Learning-Deep-Learning](https://github.com/patrick-llgc/Learning-Deep-Learning)|Paper reading notes on Deep Learning and Machine Learning|554|2022-01-01|
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|26|[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|2021-11-24|
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|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.|428|2022-01-07|
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|28|[wbbhcb/stock_market](https://github.com/wbbhcb/stock_market)|-|406|2021-11-01|
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|29|[isee15/Card-Ocr](https://github.com/isee15/Card-Ocr)|身份证识别OCR|378|2021-09-22|
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|30|[linguishi/chinese_sentiment](https://github.com/linguishi/chinese_sentiment)|中文情感分析，CNN，BI-LSTM，文本分类|344|2021-12-02|
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|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|2021-10-09|
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|32|[PaddlePaddle/Quantum](https://github.com/PaddlePaddle/Quantum)|-|333|2021-12-15|
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|33|[wshuyi/demo-chinese-text-binary-classification-with-bert](https://github.com/wshuyi/demo-chinese-text-binary-classification-with-bert)|-|325|2021-07-13|
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|34|[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|2022-01-08|
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|35|[LogicJake/competition_baselines](https://github.com/LogicJake/competition_baselines)|开源的各大比赛baseline|271|2021-12-28|
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|36|[GavinHacker/recsys_core](https://github.com/GavinHacker/recsys_core)|[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集，构建以FM和LR为核心的电影推荐系统). |271|2021-12-30|
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|37|[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|2022-01-06|
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|38|[derekhe/mobike-crawler](https://github.com/derekhe/mobike-crawler)|摩拜单车爬虫|262|2021-07-26|
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|39|[LinXueyuanStdio/LaTeX_OCR](https://github.com/LinXueyuanStdio/LaTeX_OCR)|:gem: 数学公式识别 Math Formula OCR|260|2021-12-27|
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|40|[d2l-ai/d2l-zh-pytorch-slides](https://github.com/d2l-ai/d2l-zh-pytorch-slides)|Pytorch版代码幻灯片|257|2021-12-23|
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|41|[chenmingxiang110/Chinese-automatic-speech-recognition](https://github.com/chenmingxiang110/Chinese-automatic-speech-recognition)|Chinese speech recognition|251|2021-09-13|
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|42|[Mryangkaitong/python-Machine-learning](https://github.com/Mryangkaitong/python-Machine-learning)|机器学习算法项目|246|2021-10-15|
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|43|[Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB](https://github.com/Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB)|This is a repository about PCB defect detection.|241|2021-11-10|
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|44|[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|2021-12-13|
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|45|[3778/COVID-19](https://github.com/3778/COVID-19)|Ciência de Dados aplicada à pandemia do novo coronavírus.|221|2021-10-27|
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|46|[DeepTrial/Retina-VesselNet](https://github.com/DeepTrial/Retina-VesselNet)|A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2|219|2021-11-15|
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|47|[ActiveConclusion/COVID19_mobility](https://github.com/ActiveConclusion/COVID19_mobility)|COVID-19 Mobility Data Aggregator. Scraper of Google, Apple, Waze and TomTom COVID-19 Mobility Reports🚶🚘🚉|212|2022-01-10|
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|48|[ami66/ChineseTextClassifier](https://github.com/ami66/ChineseTextClassifier)|中文商品评论短文本分类器，可用于情感分析|207|2021-12-24|
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|49|[zll17/Neural_Topic_Models](https://github.com/zll17/Neural_Topic_Models)|Implementation of topic models based on neural network approaches.|205|2021-11-12|
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|50|[deepdialog/CPM-LM-TF2](https://github.com/deepdialog/CPM-LM-TF2)|-|201|2021-10-14|
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|51|[yutiansut/QAStrategy](https://github.com/yutiansut/QAStrategy)|策略基类/ 支持QIFI协议|201|2021-09-01|
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|52|[luo3300612/Visualizer](https://github.com/luo3300612/Visualizer)|assistant tools for attention visualization in deep learning|200|2021-08-11|
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|53|[zwq2018/AI_UAV](https://github.com/zwq2018/AI_UAV)|在人工智能、机器视觉、高精度导航定位和多传感器融合等技术的助推下，众多行业迎来了前所未有的发展机遇，人工智能+无人机（AI+UAV）正是一个具有无限想象力的应用方向。|190|2021-10-12|
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|54|[collective-action/tech](https://github.com/collective-action/tech)|Documentation of all collective action from tech workers.|184|2022-01-10|
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|55|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|183|2022-01-07|
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|56|[brain-zhang/xianglong](https://github.com/brain-zhang/xianglong)|资产配置方案|176|2021-09-07|
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|57|[44670/SourceHanSans-Pixel](https://github.com/44670/SourceHanSans-Pixel)|基于思源黑体的开源像素字体|170|2022-01-03|
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|58|[hscspring/All4NLP](https://github.com/hscspring/All4NLP)|All For NLP, especially Chinese.|159|2021-10-22|
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|59|[duoergun0729/adversarial_examples](https://github.com/duoergun0729/adversarial_examples)|对抗样本|158|2021-12-13|
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|60|[vespa-engine/sample-apps](https://github.com/vespa-engine/sample-apps)|Repository of sample applications|153|2022-01-10|
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|61|[huseinzol05/malay-dataset](https://github.com/huseinzol05/malay-dataset)|Text corpus for Bahasa Malaysia, https://malaya.readthedocs.io/en/latest/Dataset.html|152|2022-01-03|
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|62|[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|2021-08-12|
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|63|[mindspore-ai/docs](https://github.com/mindspore-ai/docs)|MindSpore document|146|2022-01-07|
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|64|[makelove/Programer_Log](https://github.com/makelove/Programer_Log)|最新动态在这里【我的程序员日志】|139|2021-09-03|
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|65|[seaniezhao/torch_npss](https://github.com/seaniezhao/torch_npss)|pytorch implementation of Neural Parametric Singing Synthesizer 歌声合成|137|2021-12-27|
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|66|[hugo2046/Quantitative-analysis](https://github.com/hugo2046/Quantitative-analysis)|量化研究-券商金工研报复现|134|2021-12-29|
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|67|[aipredict/ai-deployment](https://github.com/aipredict/ai-deployment)|关注AI模型上线、模型部署|134|2021-07-15|
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|68|[wmn7/ML_Practice](https://github.com/wmn7/ML_Practice)|ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html|133|2021-11-02|
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|69|[nmcdev/meteva](https://github.com/nmcdev/meteva)|提供气象产品检验相关程序|126|2021-12-16|
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|70|[JackonYang/paper-reading](https://github.com/JackonYang/paper-reading)|比做算法的懂工程落地，比做工程的懂算法模型。|125|2021-12-31|
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|71|[zhentaoshi/econ5170](https://github.com/zhentaoshi/econ5170)|Econ5170@CUHK: Computational Methods in Economics (2020 Spring). |120|2021-12-07|
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|72|[joewandy/hlda](https://github.com/joewandy/hlda)|Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model|118|2021-10-21|
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|73|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|117|2021-11-15|
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|74|[azy1988/ML-CV](https://github.com/azy1988/ML-CV)|机器学习实战|116|2021-09-08|
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|75|[davidfrz/yolov5_distance_count](https://github.com/davidfrz/yolov5_distance_count)|使用yolov5，双目摄像头进行测距|110|2021-07-16|
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|76|[tugstugi/mongolian-nlp](https://github.com/tugstugi/mongolian-nlp)|Useful resources for Mongolian NLP|105|2021-12-27|
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|77|[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|2021-08-05|
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|78|[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|2021-10-09|
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|79|[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|2021-11-17|
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|80|[jonnor/embeddedml](https://github.com/jonnor/embeddedml)|-|102|2022-01-02|
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|81|[neozhu/smartadmin.core.urf](https://github.com/neozhu/smartadmin.core.urf)|Domain Driven Design (DDD) lightweight development architecture(support .net 5.0)|96|2021-09-13|
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|82|[lyhue1991/PythonAiRoad](https://github.com/lyhue1991/PythonAiRoad)|source code of some articles |96|2021-07-31|
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|83|[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|2022-01-10|
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|84|[datamonday/Face-Recognition-Class-Attendance-System](https://github.com/datamonday/Face-Recognition-Class-Attendance-System)|基于人脸识别的课堂考勤系统v2.0|94|2021-08-09|
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|85|[dsh0416/quantum-i-ching](https://github.com/dsh0416/quantum-i-ching)|A Quantum 爻 System Implementation for Divination |94|2022-01-07|
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|86|[HowardNTUST/Marketing-Data-Science-Application](https://github.com/HowardNTUST/Marketing-Data-Science-Application)|-|94|2021-12-22|
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|87|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|93|2022-01-10|
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|88|[PaddlePaddle/InterpretDL](https://github.com/PaddlePaddle/InterpretDL)|InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。https://interpretdl.readthedocs.io/en/latest/index.html|90|2022-01-08|
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|89|[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|2021-12-10|
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|90|[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|2021-09-27|
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|91|[binarybottle/engram](https://github.com/binarybottle/engram)|Arno's Engram v2.0 ("Engram") layout is an optimized key layout for touch typing in English based on ergonomic considerations, with a protocol and software for creating new, optimized key layouts in o ...|88|2022-01-08|
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|92|[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|2021-10-26|
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|93|[mindslab-ai/wavegrad2](https://github.com/mindslab-ai/wavegrad2)|Unofficial Pytorch Implementation of WaveGrad2|83|2021-08-18|
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|94|[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|2021-11-02|
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|95|[montera34/escovid19data](https://github.com/montera34/escovid19data)|Recopilación de datos de COVID19 por provincias en España|82|2022-01-10|
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|96|[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|2021-12-22|
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|97|[arjunmann73/Data-Analytics-Projects](https://github.com/arjunmann73/Data-Analytics-Projects)|:mag_right: Data analysis with real world data sets using Python :mag:|81|2021-10-16|
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|98|[svakulenk0/KBQA](https://github.com/svakulenk0/KBQA)|Complex Question Answering over Knowledge Graphs|81|2021-08-25|
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|99|[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|2021-12-16|
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|100|[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|2021-12-09|
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|101|[Flowingsun007/DeepLearningTutorial](https://github.com/Flowingsun007/DeepLearningTutorial)|Talk is cheap,show me the code ! Deep Learning,Leaning deep,Have fun!|75|2021-09-08|
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|102|[wangzheng422/docker_env](https://github.com/wangzheng422/docker_env)|Personal working log and md documents. Currently forcus on openshift4.|75|2022-01-10|
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|103|[Daya-Jin/ML_for_learner](https://github.com/Daya-Jin/ML_for_learner)|Implementations of the machine learning algorithm with Python and numpy|72|2021-10-20|
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|104|[jajupmochi/graphkit-learn](https://github.com/jajupmochi/graphkit-learn)|A python package for graph kernels, graph edit distances, and graph pre-image problem.|72|2021-12-02|
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|105|[Lkruitwagen/solar-pv-global-inventory](https://github.com/Lkruitwagen/solar-pv-global-inventory)|Repository for machine learning and remote sensing pipeline described in Kruitwagen, L., Story, K., Friedrich, J, et. al. (2019) , used to produce a global inventory of utility-scale solar photvoltaic ...|69|2021-11-25|
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|106|[dglai/maxp_baseline_model](https://github.com/dglai/maxp_baseline_model)|-|67|2021-11-05|
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|107|[aws-samples/aws-utility-meter-data-analytics-platform-cn](https://github.com/aws-samples/aws-utility-meter-data-analytics-platform-cn)|-|65|2021-07-20|
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|108|[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|2021-10-28|
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|109|[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|2021-10-01|
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|110|[kevin-meng/financial_stock_knowledge_graph](https://github.com/kevin-meng/financial_stock_knowledge_graph)|base on chinese stock market data|61|2021-10-05|
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|111|[JuliaCN/MeetUpMaterials](https://github.com/JuliaCN/MeetUpMaterials)|Julia中文社区活动的各种材料 Meetup Materials |60|2021-12-23|
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|112|[Dustyposa/goSpider](https://github.com/Dustyposa/goSpider)|some small project and some articles|56|2021-12-03|
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|113|[lvxingchang/Interesting-python](https://github.com/lvxingchang/Interesting-python)|-|54|2021-10-21|
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|114|[xinihe/jrxy_python_course](https://github.com/xinihe/jrxy_python_course)|Python in Finance |53|2021-12-20|
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|115|[knowledgedefinednetworking/demo-routenet](https://github.com/knowledgedefinednetworking/demo-routenet)|Demo of RouteNet in ACM SIGCOMM'19|53|2021-08-25|
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|116|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package developed for transportation spatio-temporal big data processing, analysis and visualization.|49|2022-01-10|
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|117|[lingjzhu/charsiu](https://github.com/lingjzhu/charsiu)|Charsiu: A neural phonetic aligner.|48|2022-01-05|
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|118|[zipzou/captcha-recognition](https://github.com/zipzou/captcha-recognition)|验证码OCR识别|48|2021-09-08|
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|119|[guyujun/pyrosetta-basic](https://github.com/guyujun/pyrosetta-basic)|-|47|2021-10-27|
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|120|[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|2021-12-13|
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|121|[letylin/pyprogbook](https://github.com/letylin/pyprogbook)|金融大數據首部曲 書名: Python 程式設計入門 — 金融商管實務案例 讀者可以在此下載教學資源含程式碼|47|2022-01-04|
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|122|[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|2021-07-20|
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|123|[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|2021-09-04|
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|124|[RuifMaxx/Multidimensional-time-series-with-transformer](https://github.com/RuifMaxx/Multidimensional-time-series-with-transformer)|transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测|42|2021-08-10|
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|125|[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|2021-09-04|
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|126|[zhentaoshi/Econ5121A](https://github.com/zhentaoshi/Econ5121A)|Econ5121A@CUHK. This is an open-source writing project.|41|2021-12-27|
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|127|[Valuebai/Text-Auto-Summarization](https://github.com/Valuebai/Text-Auto-Summarization)|文本自动摘要|40|2021-12-13|
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|128|[Yefee/xMCA](https://github.com/Yefee/xMCA)|Maximum Covariance Analysis in xarray for Climate Science|40|2021-11-07|
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|129|[boyu-ai/Hands-on-RL](https://github.com/boyu-ai/Hands-on-RL)|https://hrl.boyuai.com/|39|2021-08-14|
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|130|[wine99/hfut-cs-assignments](https://github.com/wine99/hfut-cs-assignments)|合肥工业大学 计算机科学与技术专业 专业课作业和实验（大二下 - 大三下）|39|2021-10-24|
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|131|[astronomical-data-processing/fundamentals_of_interferometry_chinese](https://github.com/astronomical-data-processing/fundamentals_of_interferometry_chinese)|Fundamentals of Interferometry Chinese Version|39|2021-12-22|
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|132|[polarisZhao/pytorch-cookbook](https://github.com/polarisZhao/pytorch-cookbook)|-|39|2021-09-08|
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|133|[makelove/True_Artificial_Intelligence](https://github.com/makelove/True_Artificial_Intelligence)|真AI人工智能|38|2021-12-13|
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|134|[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|2021-11-10|
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|135|[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|2021-10-12|
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|136|[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|2021-08-28|
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|137|[WHUFT/WHU_FinTech_Workshop](https://github.com/WHUFT/WHU_FinTech_Workshop)|武汉大学金融科技研讨班|36|2022-01-09|
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|138|[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|2021-11-17|
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|139|[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|2021-10-06|
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|140|[wp931120/nlpapp](https://github.com/wp931120/nlpapp)|tensorflow ,keras ,bert ,flask ,nlp, machine reading , translater，seq2seq |33|2021-08-25|
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|141|[hhhparty/security](https://github.com/hhhparty/security)|About cyber security, data scrapy , aisec analysis, vulnerability analysis, enterprise security, and so on.|32|2021-12-13|
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|142|[HuichuanLI/Recommand-Algorithme](https://github.com/HuichuanLI/Recommand-Algorithme)|推荐算法实战(Recommend algorithm)|32|2021-10-31|
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|143|[maloyang/PLC-Python](https://github.com/maloyang/PLC-Python)|KHPy_2018-03-05_工業4.0: PLC與Python共舞|32|2021-12-09|
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|144|[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|2022-01-07|
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|145|[uwjunqi/Pytorch-Tensor-Train-Network](https://github.com/uwjunqi/Pytorch-Tensor-Train-Network)|Jun and Huck's PyTorch-Tensor-Train Network Toolbox|31|2021-11-24|
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|146|[cacolola/python-LEC](https://github.com/cacolola/python-LEC)|python数据分析基础|31|2021-09-14|
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|147|[DIUx-xView/xview3-reference](https://github.com/DIUx-xView/xview3-reference)|Reference data processing code and model for the xView3 prize challenge.|30|2021-11-29|
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|148|[SocratesAcademy/datascience](https://github.com/SocratesAcademy/datascience)|Introduction to Python Programming for Data Science|30|2021-09-08|
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|149|[BSlience/rasa-conversational-ai](https://github.com/BSlience/rasa-conversational-ai)|Conversational AI based on Rasa|29|2021-10-29|
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|150|[yenlung/Deep-Learning-Basics](https://github.com/yenlung/Deep-Learning-Basics)|使用 TensorFlow 2 的 Deep Learning 基本程式寫法示範。|29|2021-12-06|
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|151|[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|2021-12-28|
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|152|[01ly/Codes](https://github.com/01ly/Codes)|不可能不会系列|29|2021-09-08|
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|153|[ni1o1/plot_map](https://github.com/ni1o1/plot_map)|Python时空大数据处理工具包，可实现：matplotlib地图底图加载、坐标转换距离计算、栅格渔网划分与对应、点与点、点与线最近邻匹配|29|2021-10-21|
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|154|[ybdesire/machinelearning](https://github.com/ybdesire/machinelearning)|My machine learning code written by python.|29|2021-11-19|
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|155|[RMSnow/WWW2021](https://github.com/RMSnow/WWW2021)|This is the official repository to release the code and datasets in the paper "Mining Dual Emotion for Fake News Detection", WWW 2021.|28|2021-12-31|
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|156|[baidu/Quanlse](https://github.com/baidu/Quanlse)|-|28|2021-12-22|
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|157|[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|2022-01-01|
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|158|[buzhidaoshenme/YOLOX-OBB](https://github.com/buzhidaoshenme/YOLOX-OBB)|YOLOX in DOTA with KLD loss. (Oriented Object Detection)（Rotated BBox）基于YOLOX的旋转目标检测|27|2021-11-19|
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|159|[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|2022-01-04|
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|160|[PaddlePaddle/PaddleSpatial](https://github.com/PaddlePaddle/PaddleSpatial)|PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle. |26|2021-12-17|
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|161|[lures2019/lures2020-demos](https://github.com/lures2019/lures2020-demos)|lures2020年写的一些项目和程序|26|2021-09-11|
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|162|[ryan4yin/knowledge](https://github.com/ryan4yin/knowledge)|Everything I know: DevOps & CloudNative, Music, etc...|26|2022-01-10|
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|163|[deepintomlf/mlfbook](https://github.com/deepintomlf/mlfbook)|-|26|2021-09-26|
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|164|[yylonly/ServeNet](https://github.com/yylonly/ServeNet)|Service Classification based on Service Description|26|2021-10-17|
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|165|[Hongyu-Yue/yoloV5_modify_smalltarget](https://github.com/Hongyu-Yue/yoloV5_modify_smalltarget)|YOLOV5 小目标检测修改版|25|2021-08-21|
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|166|[lansinuote/Machine-Learning-In-Numpy](https://github.com/lansinuote/Machine-Learning-In-Numpy)|纯python实现机器学习算法,非套用sk-learn|25|2021-11-08|
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|167|[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|2021-09-06|
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|168|[PanJinquan/python-learning-notes](https://github.com/PanJinquan/python-learning-notes)|代码|25|2021-10-12|
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|169|[victorgau/MultiStrategies](https://github.com/victorgau/MultiStrategies)|多策略回測比較|25|2021-12-13|
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|170|[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|2021-09-28|
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|171|[luiarthur/TuringBnpBenchmarks](https://github.com/luiarthur/TuringBnpBenchmarks)|Benchmarks of Bayesian Nonparametric models in Turing and other PPLs|24|2021-11-10|
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|172|[linbang/Metapath2vec](https://github.com/linbang/Metapath2vec)|使用DGL和pytorch实现metapath2vec|24|2021-09-17|
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|173|[voidful/Phraseg](https://github.com/voidful/Phraseg)|Phraseg - 一言：新詞發現工具包|24|2021-11-30|
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|174|[hktxt/Courses](https://github.com/hktxt/Courses)|An AI engineer Prepares / 算法工程师自我修养|24|2021-09-08|
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|175|[cyang03/CHECKED](https://github.com/cyang03/CHECKED)|-|23|2021-08-22|
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|176|[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|2021-09-16|
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|177|[wolf-bailang/AI-Projects](https://github.com/wolf-bailang/AI-Projects)|AI项目（强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理）|23|2021-12-05|
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|178|[Quantum-Dynamics-Hub/libra-code](https://github.com/Quantum-Dynamics-Hub/libra-code)|-|23|2022-01-06|
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|179|[accomdemy/accomdemy](https://github.com/accomdemy/accomdemy)|Welcome to Accomdemy! 歡迎來到伴伴學！|22|2021-12-24|
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|180|[OneOneLiu/ggcnn_cornell_dataset](https://github.com/OneOneLiu/ggcnn_cornell_dataset)|cornell grasp dataset analyses and process|22|2022-01-04|
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|181|[aws-samples/smart-cooler](https://github.com/aws-samples/smart-cooler)|-|22|2021-09-28|
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|182|[anxiang1836/query_similar_tianchi_2020](https://github.com/anxiang1836/query_similar_tianchi_2020)|天池2020-新冠疫情相似句对判定大赛|22|2021-08-25|
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|183|[yutiansut/QIFIAccount](https://github.com/yutiansut/QIFIAccount)|QIFI协议下的Account实现|22|2021-09-03|
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|184|[EMUNES/Auto-Subtitle-File-Generation](https://github.com/EMUNES/Auto-Subtitle-File-Generation)|Generate subtitle files with timelines in an automatic way.|21|2021-11-09|
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|185|[OneStepAndTwoSteps/Data_Analysis_notes](https://github.com/OneStepAndTwoSteps/Data_Analysis_notes)|📖 data-analysis 数据分析、machine-learning 机器学习|21|2022-01-10|
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|186|[chengjun/mybook](https://github.com/chengjun/mybook)|My Lectures on Computational Communication |20|2021-12-25|
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|187|[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|2021-09-08|
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|188|[maxmilian/thsrc_captcha](https://github.com/maxmilian/thsrc_captcha)|高鐵訂票驗證碼，使用Python、Keras (Tensorflow)、CNN|20|2021-07-31|
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|189|[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|2021-08-25|
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|190|[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|2021-12-18|
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|191|[zhaihulu/DataScience](https://github.com/zhaihulu/DataScience)|-|19|2021-10-12|
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|192|[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|2021-12-13|
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|193|[qhduan/bert-model](https://github.com/qhduan/bert-model)|-|19|2021-09-02|
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|194|[EmbraceLife/fastai_treasures](https://github.com/EmbraceLife/fastai_treasures)|digging the endless treasures of fastai|19|2021-09-27|
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|195|[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|2022-01-05|
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|196|[genkuroki/Statistics](https://github.com/genkuroki/Statistics)|Notes of Statistics|18|2021-07-27|
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|197|[paudetseis/PlateFlex](https://github.com/paudetseis/PlateFlex)|Estimating effective elastic thickness of the lithosphere|18|2021-08-30|
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|198|[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|2021-10-06|
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|199|[chokkan/python](https://github.com/chokkan/python)|Python早見帳|17|2021-11-28|
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|200|[hululuzhu/chinese-ai-writing-share](https://github.com/hululuzhu/chinese-ai-writing-share)|中文AI写作共享|17|2021-08-17|
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<p><sub>↓ -- 感谢读者 -- ↓</sub></p>
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榜单持续更新，如有帮助请加星收藏，方便后续浏览，感谢你的支持！
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<div align="center"><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></div>
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