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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>
# 中文总榜 > 软件类 > Jupyter Notebook
<sub>数据更新: 2022-02-13&nbsp;&nbsp;&nbsp;/&nbsp;&nbsp;&nbsp;温馨提示：中文项目泛指「文档母语为中文」OR「含有中文翻译」的项目，通常在项目的「readme/wiki/官网」可以找到</sub>
<sub>数据更新: 2022-02-14&nbsp;&nbsp;&nbsp;/&nbsp;&nbsp;&nbsp;温馨提示：中文项目泛指「文档母语为中文」OR「含有中文翻译」的项目，通常在项目的「readme/wiki/官网」可以找到</sub>
|#|Repository|Description|Stars|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|6565|2022-01-20|
|2|[ljpzzz/machinelearning](https://github.com/ljpzzz/machinelearning)|My blogs and code for machine learning. http://cnblogs.com/pinard|6146|2021-10-01|
|3|[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|5621|2022-01-17|
|4|[cleverhans-lab/cleverhans](https://github.com/cleverhans-lab/cleverhans)|An adversarial example library for constructing attacks, building defenses, and benchmarking both|5403|2022-01-23|
|5|[NVIDIA/NeMo](https://github.com/NVIDIA/NeMo)|NeMo: a toolkit for conversational AI|3867|2022-02-12|
|1|[MorvanZhou/PyTorch-Tutorial](https://github.com/MorvanZhou/PyTorch-Tutorial)|Build your neural network easy and fast, 莫烦Python中文教学|6568|2022-01-20|
|2|[ljpzzz/machinelearning](https://github.com/ljpzzz/machinelearning)|My blogs and code for machine learning. http://cnblogs.com/pinard|6150|2021-10-01|
|3|[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|5624|2022-02-13|
|4|[cleverhans-lab/cleverhans](https://github.com/cleverhans-lab/cleverhans)|An adversarial example library for constructing attacks, building defenses, and benchmarking both|5404|2022-01-23|
|5|[NVIDIA/NeMo](https://github.com/NVIDIA/NeMo)|NeMo: a toolkit for conversational AI|3871|2022-02-13|
|6|[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.|2776|2021-10-14|
|7|[exacity/simplified-deeplearning](https://github.com/exacity/simplified-deeplearning)|Simplified implementations of deep learning related works|2397|2021-10-06|
|8|[wangshub/RL-Stock](https://github.com/wangshub/RL-Stock)|📈 如何用深度强化学习自动炒股|2143|2022-02-11|
|9|[yoyoyo-yo/Gasyori100knock](https://github.com/yoyoyo-yo/Gasyori100knock)|image processing codes to understand algorithm|1998|2022-01-20|
|10|[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.|1839|2022-02-06|
|11|[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.|1723|2022-01-05|
|12|[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/|1663|2022-01-21|
|13|[marcotcr/checklist](https://github.com/marcotcr/checklist)|Beyond Accuracy: Behavioral Testing of NLP models with CheckList|1585|2022-02-10|
|10|[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.|1839|2022-02-13|
|11|[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.|1724|2022-01-05|
|12|[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/|1664|2022-01-21|
|13|[marcotcr/checklist](https://github.com/marcotcr/checklist)|Beyond Accuracy: Behavioral Testing of NLP models with CheckList|1586|2022-02-13|
|14|[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。|1421|2022-01-15|
|15|[tugstugi/dl-colab-notebooks](https://github.com/tugstugi/dl-colab-notebooks)|Try out deep learning models online on Google Colab|1302|2022-01-13|
|16|[TheEconomist/big-mac-data](https://github.com/TheEconomist/big-mac-data)|Data and methodology for the Big Mac index|1251|2022-02-04|
|17|[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|1226|2022-01-20|
|18|[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. |1036|2022-01-31|
|16|[TheEconomist/big-mac-data](https://github.com/TheEconomist/big-mac-data)|Data and methodology for the Big Mac index|1253|2022-02-04|
|17|[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|1227|2022-01-20|
|18|[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. |1037|2022-01-31|
|19|[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|979|2022-02-07|
|20|[amaiya/ktrain](https://github.com/amaiya/ktrain)|ktrain is a Python library that makes deep learning and AI more accessible and easier to apply|948|2022-02-09|
|21|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|872|2021-12-29|
|21|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|873|2021-12-29|
|22|[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。|849|2021-11-08|
|23|[Tiiiger/bert_score](https://github.com/Tiiiger/bert_score)|BERT score for text generation|822|2021-12-10|
|23|[Tiiiger/bert_score](https://github.com/Tiiiger/bert_score)|BERT score for text generation|823|2021-12-10|
|24|[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|782|2021-11-26|
|25|[serengil/tensorflow-101](https://github.com/serengil/tensorflow-101)|TensorFlow 101: Introduction to Deep Learning|780|2022-02-02|
|26|[fastai/course20](https://github.com/fastai/course20)|Deep Learning for Coders, 2020, the website|723|2022-01-14|
|25|[serengil/tensorflow-101](https://github.com/serengil/tensorflow-101)|TensorFlow 101: Introduction to Deep Learning|781|2022-02-02|
|26|[fastai/course20](https://github.com/fastai/course20)|Deep Learning for Coders, 2020, the website|726|2022-01-14|
|27|[wx-chevalier/AI-Series](https://github.com/wx-chevalier/AI-Series)|:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 机器学习篇 深度学习篇 自然语言处理篇 工具 ...|715|2022-01-06|
|28|[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|624|2021-10-29|
|29|[patrick-llgc/Learning-Deep-Learning](https://github.com/patrick-llgc/Learning-Deep-Learning)|Paper reading notes on Deep Learning and Machine Learning|573|2022-02-12|
|30|[LYuhang/GNN_Review](https://github.com/LYuhang/GNN_Review)|GNN综述阅读报告|569|2021-08-17|
|31|[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）|532|2022-02-10|
|31|[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）|533|2022-02-10|
|32|[imistyrain/MTCNN](https://github.com/imistyrain/MTCNN)|Realtime Face Detection and Head pose estimation on Windows、Ubuntu、Mac、Android and iOS|423|2022-01-27|
|33|[wbbhcb/stock_market](https://github.com/wbbhcb/stock_market)|-|420|2021-11-01|
|34|[isee15/Card-Ocr](https://github.com/isee15/Card-Ocr)|身份证识别OCR|381|2021-09-22|
@ -43,27 +43,27 @@
|36|[linguishi/chinese_sentiment](https://github.com/linguishi/chinese_sentiment)|中文情感分析，CNN，BI-LSTM，文本分类|353|2022-02-10|
|37|[PaddlePaddle/Quantum](https://github.com/PaddlePaddle/Quantum)|-|338|2021-12-15|
|38|[SummerLife/EmbeddedSystem](https://github.com/SummerLife/EmbeddedSystem)|:books: 计算机体系架构、嵌入式系统基础与主流编程语言相关内容总结|325|2022-02-10|
|39|[zhouwei713/data_analysis](https://github.com/zhouwei713/data_analysis)|一些爬虫和数据分析相关实战练习|305|2022-01-26|
|40|[LogicJake/competition_baselines](https://github.com/LogicJake/competition_baselines)|开源的各大比赛baseline|279|2021-12-28|
|39|[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|2022-01-26|
|40|[LogicJake/competition_baselines](https://github.com/LogicJake/competition_baselines)|开源的各大比赛baseline|280|2021-12-28|
|41|[enpeizhao/CVprojects](https://github.com/enpeizhao/CVprojects)|computer vision projects 计算机视觉等好玩的AI项目|277|2022-02-06|
|42|[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.|273|2022-01-06|
|43|[d2l-ai/d2l-zh-pytorch-slides](https://github.com/d2l-ai/d2l-zh-pytorch-slides)|Pytorch版代码幻灯片|272|2022-01-17|
|44|[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). |272|2021-12-30|
|45|[LinXueyuanStdio/LaTeX_OCR](https://github.com/LinXueyuanStdio/LaTeX_OCR)|:gem: 数学公式识别 Math Formula OCR|269|2022-02-10|
|45|[LinXueyuanStdio/LaTeX_OCR](https://github.com/LinXueyuanStdio/LaTeX_OCR)|:gem: 数学公式识别 Math Formula OCR|270|2022-02-10|
|46|[Mryangkaitong/python-Machine-learning](https://github.com/Mryangkaitong/python-Machine-learning)|机器学习算法项目|265|2021-10-15|
|47|[Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB](https://github.com/Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB)|This is a repository about PCB defect detection.|248|2022-02-10|
|48|[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|241|2022-01-13|
|49|[zll17/Neural_Topic_Models](https://github.com/zll17/Neural_Topic_Models)|Implementation of topic models based on neural network approaches.|225|2021-11-12|
|50|[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🚶🚘🚉|221|2022-02-12|
|50|[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🚶🚘🚉|221|2022-02-13|
|51|[3778/COVID-19](https://github.com/3778/COVID-19)|Ciência de Dados aplicada à pandemia do novo coronavírus.|221|2022-02-11|
|52|[DeepTrial/Retina-VesselNet](https://github.com/DeepTrial/Retina-VesselNet)|A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2|219|2022-02-09|
|53|[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|208|2021-12-24|
|54|[deepdialog/CPM-LM-TF2](https://github.com/deepdialog/CPM-LM-TF2)|-|207|2021-10-14|
|55|[yutiansut/QAStrategy](https://github.com/yutiansut/QAStrategy)|策略基类/ 支持QIFI协议|203|2021-09-01|
|56|[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。|196|2022-02-11|
|57|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|189|2022-02-01|
|58|[4paradigm/AutoX](https://github.com/4paradigm/AutoX)|AutoX is an efficient automl tool, which is mainly aimed at data mining competitions with tabular data.|186|2022-02-04|
|59|[collective-action/tech](https://github.com/collective-action/tech)|Documentation of all collective action from tech workers.|186|2022-02-12|
|57|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|191|2022-02-01|
|58|[4paradigm/AutoX](https://github.com/4paradigm/AutoX)|AutoX is an efficient automl tool, which is mainly aimed at data mining competitions with tabular data.|186|2022-02-13|
|59|[collective-action/tech](https://github.com/collective-action/tech)|Documentation of all collective action from tech workers.|186|2022-02-13|
|60|[brain-zhang/xianglong](https://github.com/brain-zhang/xianglong)|资产配置方案|178|2021-09-07|
|61|[44670/SourceHanSans-Pixel](https://github.com/44670/SourceHanSans-Pixel)|基于思源黑体的开源像素字体|172|2022-01-03|
|62|[duoergun0729/adversarial_examples](https://github.com/duoergun0729/adversarial_examples)|对抗样本|160|2022-02-11|
@ -72,7 +72,7 @@
|65|[huseinzol05/malay-dataset](https://github.com/huseinzol05/malay-dataset)|Text corpus for Bahasa Malaysia, https://malaya.readthedocs.io/en/latest/Dataset.html|157|2022-02-07|
|66|[vespa-engine/sample-apps](https://github.com/vespa-engine/sample-apps)|Repository of sample applications|155|2022-02-11|
|67|[hugo2046/Quantitative-analysis](https://github.com/hugo2046/Quantitative-analysis)|量化研究-券商金工研报复现|147|2022-02-12|
|68|[Glacier-Ice/Covid-19-data-science](https://github.com/Glacier-Ice/Covid-19-data-science)|Welcome to Glacier Data Project. A post-wuhan2020 project for data science|147|2022-01-27|
|68|[Glacier-Ice/Covid-19-data-science](https://github.com/Glacier-Ice/Covid-19-data-science)|Welcome to Glacier Data Project. A post-wuhan2020 project for data science|147|2022-02-13|
|69|[makelove/Programer_Log](https://github.com/makelove/Programer_Log)|最新动态在这里【我的程序员日志】|146|2021-09-03|
|70|[mindspore-ai/docs](https://github.com/mindspore-ai/docs)|MindSpore document|145|2022-01-07|
|71|[seaniezhao/torch_npss](https://github.com/seaniezhao/torch_npss)|pytorch implementation of Neural Parametric Singing Synthesizer 歌声合成|139|2021-12-27|
@ -84,14 +84,14 @@
|77|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|123|2021-11-15|
|78|[zhentaoshi/econ5170](https://github.com/zhentaoshi/econ5170)|Econ5170@CUHK: Computational Methods in Economics (2020 Spring). |122|2022-01-13|
|79|[joewandy/hlda](https://github.com/joewandy/hlda)|Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model|120|2022-01-21|
|80|[azy1988/ML-CV](https://github.com/azy1988/ML-CV)|机器学习实战|117|2022-02-11|
|81|[oldratlee/software-practice-thoughts](https://github.com/oldratlee/software-practice-thoughts)|📚 🐣 软件实践文集。主题不限，思考讨论有趣有料就好，包含如 系统的模型分析/量化分析、开源漫游者指南、软件可靠性设计实践…… 🥤|111|2021-12-20|
|80|[azy1988/ML-CV](https://github.com/azy1988/ML-CV)|机器学习实战|118|2022-02-11|
|81|[oldratlee/software-practice-thoughts](https://github.com/oldratlee/software-practice-thoughts)|📚 🐣 软件实践文集。主题不限，思考讨论有趣有料就好，包含如 系统的模型分析/量化分析、开源漫游者指南、软件可靠性设计实践…… 🥤|112|2021-12-20|
|82|[chenghuige/pikachu2](https://github.com/chenghuige/pikachu2)|微信大数据2021 1st，qq浏览器2021 3rd，mind新闻推荐2020 1st，NAIC2020 AI+遥感影像 2nd|108|2021-11-17|
|83|[tugstugi/mongolian-nlp](https://github.com/tugstugi/mongolian-nlp)|Useful resources for Mongolian NLP|107|2022-02-09|
|84|[qwfy/doc-browser](https://github.com/qwfy/doc-browser)|A documentation browser with support for DevDocs, Dash and Hoogle, written in Haskell and QML|105|2021-10-09|
|85|[jonnor/embeddedml](https://github.com/jonnor/embeddedml)|-|103|2022-02-04|
|86|[lyhue1991/PythonAiRoad](https://github.com/lyhue1991/PythonAiRoad)|source code of some articles |100|2022-01-23|
|87|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|99|2022-01-28|
|86|[lyhue1991/PythonAiRoad](https://github.com/lyhue1991/PythonAiRoad)|source code of some articles |101|2022-01-23|
|87|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|99|2022-02-13|
|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|97|2022-01-20|
|89|[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|
|90|[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|95|2022-02-11|
@ -110,16 +110,16 @@
|103|[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 ...|81|2021-11-25|
|104|[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|
|105|[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)|80|2022-02-08|
|106|[wangzheng422/docker_env](https://github.com/wangzheng422/docker_env)|Personal working log and md documents. Currently forcus on openshift4.|77|2022-02-12|
|106|[wangzheng422/docker_env](https://github.com/wangzheng422/docker_env)|Personal working log and md documents. Currently forcus on openshift4.|77|2022-02-13|
|107|[Flowingsun007/DeepLearningTutorial](https://github.com/Flowingsun007/DeepLearningTutorial)|Talk is cheap,show me the code ! Deep Learning,Leaning deep,Have fun!|75|2022-02-10|
|108|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.|73|2022-02-08|
|109|[jajupmochi/graphkit-learn](https://github.com/jajupmochi/graphkit-learn)|A python package for graph kernels, graph edit distances, and graph pre-image problem.|73|2022-02-12|
|110|[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|
|111|[dglai/maxp_baseline_model](https://github.com/dglai/maxp_baseline_model)|-|66|2021-11-05|
|112|[Liang-ZX/VectorNet](https://github.com/Liang-ZX/VectorNet)|Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”|66|2021-10-28|
|113|[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|
|114|[kevin-meng/financial_stock_knowledge_graph](https://github.com/kevin-meng/financial_stock_knowledge_graph)|base on chinese stock market data|62|2021-10-05|
|115|[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……|61|2022-02-07|
|113|[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……|64|2022-02-07|
|114|[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|
|115|[kevin-meng/financial_stock_knowledge_graph](https://github.com/kevin-meng/financial_stock_knowledge_graph)|base on chinese stock market data|62|2021-10-05|
|116|[JuliaCN/MeetUpMaterials](https://github.com/JuliaCN/MeetUpMaterials)|Julia中文社区活动的各种材料 Meetup Materials |61|2021-12-23|
|117|[lingjzhu/charsiu](https://github.com/lingjzhu/charsiu)|Charsiu: A neural phonetic aligner.|60|2022-02-12|
|118|[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|59|2022-01-12|
@ -131,80 +131,80 @@
|124|[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 ...|50|2021-09-04|
|125|[zipzou/captcha-recognition](https://github.com/zipzou/captcha-recognition)|验证码OCR识别|50|2022-01-13|
|126|[lvxingchang/Interesting-python](https://github.com/lvxingchang/Interesting-python)|-|50|2021-10-21|
|127|[zhentaoshi/Econ5121A](https://github.com/zhentaoshi/Econ5121A)|Econ5121A@CUHK. This is an open-source writing project.|48|2022-01-22|
|127|[zhentaoshi/Econ5121A](https://github.com/zhentaoshi/Econ5121A)|Econ5121A@CUHK. This is an open-source writing project.|50|2022-01-22|
|128|[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|
|129|[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|
|130|[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|44|2021-09-04|
|131|[WHUFT/WHU_FinTech_Workshop](https://github.com/WHUFT/WHU_FinTech_Workshop)|武汉大学金融科技研讨班|44|2022-01-19|
|132|[BrambleXu/KGQA_SG](https://github.com/BrambleXu/KGQA_SG)|基于知识图谱的《三国演义》人物关系可视化及问答系统|43|2022-01-21|
|133|[boyu-ai/Hands-on-RL](https://github.com/boyu-ai/Hands-on-RL)|https://hrl.boyuai.com/|42|2021-08-14|
|134|[hansu1017/WSDM2022-Retention-Score-Prediction](https://github.com/hansu1017/WSDM2022-Retention-Score-Prediction)|WSDM2022留存预测挑战赛 第1名解决方案|41|2022-02-08|
|135|[datawhalechina/powerful-numpy](https://github.com/datawhalechina/powerful-numpy)|巨硬的NumPy|41|2022-02-11|
|136|[Yefee/xMCA](https://github.com/Yefee/xMCA)|Maximum Covariance Analysis in xarray for Climate Science|41|2021-11-07|
|137|[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|40|2021-11-17|
|138|[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）|40|2022-01-27|
|139|[Valuebai/Text-Auto-Summarization](https://github.com/Valuebai/Text-Auto-Summarization)|文本自动摘要|40|2022-02-11|
|140|[polarisZhao/pytorch-cookbook](https://github.com/polarisZhao/pytorch-cookbook)|-|40|2022-01-13|
|141|[makelove/True_Artificial_Intelligence](https://github.com/makelove/True_Artificial_Intelligence)|真AI人工智能|40|2022-02-11|
|132|[hansu1017/WSDM2022-Retention-Score-Prediction](https://github.com/hansu1017/WSDM2022-Retention-Score-Prediction)|WSDM2022留存预测挑战赛 第1名解决方案|43|2022-02-08|
|133|[BrambleXu/KGQA_SG](https://github.com/BrambleXu/KGQA_SG)|基于知识图谱的《三国演义》人物关系可视化及问答系统|43|2022-01-21|
|134|[datawhalechina/powerful-numpy](https://github.com/datawhalechina/powerful-numpy)|巨硬的NumPy|42|2022-02-11|
|135|[Yefee/xMCA](https://github.com/Yefee/xMCA)|Maximum Covariance Analysis in xarray for Climate Science|41|2021-11-07|
|136|[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|40|2021-11-17|
|137|[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）|40|2022-01-27|
|138|[Valuebai/Text-Auto-Summarization](https://github.com/Valuebai/Text-Auto-Summarization)|文本自动摘要|40|2022-02-11|
|139|[polarisZhao/pytorch-cookbook](https://github.com/polarisZhao/pytorch-cookbook)|-|40|2022-01-13|
|140|[makelove/True_Artificial_Intelligence](https://github.com/makelove/True_Artificial_Intelligence)|真AI人工智能|40|2022-02-11|
|141|[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|39|2021-08-28|
|142|[microsoft/inmt](https://github.com/microsoft/inmt)|Interactive Neural Machine Translation tool|39|2022-02-11|
|143|[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|
|144|[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|38|2021-08-28|
|145|[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|38|2022-02-09|
|146|[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|
|147|[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|2022-01-13|
|148|[Hongyu-Yue/yoloV5_modify_smalltarget](https://github.com/Hongyu-Yue/yoloV5_modify_smalltarget)|YOLOV5 小目标检测修改版|33|2021-08-21|
|149|[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 ...|33|2021-12-10|
|150|[wp931120/nlpapp](https://github.com/wp931120/nlpapp)|tensorflow ,keras ,bert ,flask ,nlp, machine reading , translater，seq2seq |33|2022-02-10|
|151|[HuichuanLI/Recommand-Algorithme](https://github.com/HuichuanLI/Recommand-Algorithme)|推荐算法实战(Recommend algorithm)|33|2021-10-31|
|152|[maloyang/PLC-Python](https://github.com/maloyang/PLC-Python)|KHPy_2018-03-05_工業4.0: PLC與Python共舞|33|2021-12-09|
|153|[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）|32|2022-01-19|
|154|[hhhparty/security](https://github.com/hhhparty/security)|About cyber security, data scrapy , aisec analysis, vulnerability analysis, enterprise security, and so on.|32|2022-01-27|
|155|[DIUx-xView/xview3-reference](https://github.com/DIUx-xView/xview3-reference)|Reference data processing code and model for the xView3 prize challenge.|31|2021-11-29|
|156|[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 🐍|31|2022-01-01|
|157|[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|
|158|[cacolola/python-LEC](https://github.com/cacolola/python-LEC)|python数据分析基础|31|2021-09-14|
|159|[BSlience/rasa-conversational-ai](https://github.com/BSlience/rasa-conversational-ai)|Conversational AI based on Rasa|30|2022-02-11|
|160|[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。|30|2021-12-06|
|161|[agave233/2020-CCF-Crowd-Flow-Prediction](https://github.com/agave233/2020-CCF-Crowd-Flow-Prediction)|科技战疫-大数据公益挑战赛-DataFountain重点区域人群密度预测 第1名方案|30|2021-12-28|
|162|[SocratesAcademy/datascience](https://github.com/SocratesAcademy/datascience)|Introduction to Python Programming for Data Science|30|2022-01-13|
|163|[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|29|2021-11-19|
|164|[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.|29|2021-12-31|
|165|[01ly/Codes](https://github.com/01ly/Codes)|不可能不会系列|29|2022-02-10|
|166|[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|
|167|[ybdesire/machinelearning](https://github.com/ybdesire/machinelearning)|My machine learning code written by python.|29|2021-11-19|
|168|[baidu/Quanlse](https://github.com/baidu/Quanlse)|-|28|2021-12-22|
|169|[ryan4yin/knowledge](https://github.com/ryan4yin/knowledge)|Everything I know: DevOps & CloudNative, Music, etc...|28|2022-02-12|
|170|[PaddlePaddle/PaddleSpatial](https://github.com/PaddlePaddle/PaddleSpatial)|PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle. |27|2021-12-17|
|171|[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|26|2021-11-08|
|172|[oegedijk/dash_oop_components](https://github.com/oegedijk/dash_oop_components)|OOP components for plotly dash that make dashboard components composable, reusable and configurable|26|2021-09-28|
|173|[lures2019/lures2020-demos](https://github.com/lures2019/lures2020-demos)|lures2020年写的一些项目和程序|26|2021-09-11|
|174|[lingjzhu/probing-TTS-models](https://github.com/lingjzhu/probing-TTS-models)|Link to paper: https://www.isca-speech.org/archive_v0/SpeechProsody_2020/pdfs/51.pdf|26|2021-09-06|
|175|[deepintomlf/mlfbook](https://github.com/deepintomlf/mlfbook)|-|26|2021-09-26|
|176|[yylonly/ServeNet](https://github.com/yylonly/ServeNet)|Service Classification based on Service Description|26|2021-10-17|
|177|[cyang03/CHECKED](https://github.com/cyang03/CHECKED)|-|25|2021-08-22|
|178|[OneOneLiu/ggcnn_cornell_dataset](https://github.com/OneOneLiu/ggcnn_cornell_dataset)|cornell grasp dataset analyses and process|25|2022-01-18|
|179|[PanJinquan/python-learning-notes](https://github.com/PanJinquan/python-learning-notes)|代码|25|2022-01-13|
|180|[victorgau/MultiStrategies](https://github.com/victorgau/MultiStrategies)|多策略回測比較|25|2021-12-13|
|181|[Quantum-Dynamics-Hub/libra-code](https://github.com/Quantum-Dynamics-Hub/libra-code)|-|25|2022-02-11|
|182|[KristiyanVachev/Leaf-Question-Generation](https://github.com/KristiyanVachev/Leaf-Question-Generation)|Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.|24|2022-02-02|
|183|[EMUNES/Auto-Subtitle-File-Generation](https://github.com/EMUNES/Auto-Subtitle-File-Generation)|Generate subtitle files with timelines in an automatic way.|24|2021-11-09|
|184|[luiarthur/TuringBnpBenchmarks](https://github.com/luiarthur/TuringBnpBenchmarks)|Benchmarks of Bayesian Nonparametric models in Turing and other PPLs|24|2022-02-11|
|185|[linbang/Metapath2vec](https://github.com/linbang/Metapath2vec)|使用DGL和pytorch实现metapath2vec|24|2021-09-17|
|186|[HuichuanLI/play-with-graph-algorithme](https://github.com/HuichuanLI/play-with-graph-algorithme)|python实现的初级图论算法库:环检测问题,桥和割点,最小生成树,最短路径,欧拉路径,哈密尔顿路径,拓扑排序，最大流问题，匹配问题(匈牙利算法)|24|2021-09-16|
|187|[voidful/Phraseg](https://github.com/voidful/Phraseg)|Phraseg - 一言：新詞發現工具包|24|2021-11-30|
|188|[hktxt/Courses](https://github.com/hktxt/Courses)|An AI engineer Prepares / 算法工程师自我修养|24|2022-01-21|
|189|[yutiansut/QIFIAccount](https://github.com/yutiansut/QIFIAccount)|QIFI协议下的Account实现|23|2021-09-03|
|190|[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|2022-02-11|
|191|[accomdemy/accomdemy](https://github.com/accomdemy/accomdemy)|Welcome to Accomdemy! 歡迎來到伴伴學！|22|2021-12-24|
|192|[chengjun/mybook](https://github.com/chengjun/mybook)|My Lectures on Computational Communication |22|2022-01-13|
|193|[aws-samples/smart-cooler](https://github.com/aws-samples/smart-cooler)|-|22|2022-01-31|
|194|[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|2022-02-10|
|195|[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|21|2022-01-13|
|196|[OneStepAndTwoSteps/Data_Analysis_notes](https://github.com/OneStepAndTwoSteps/Data_Analysis_notes)|📖 data-analysis 数据分析、machine-learning 机器学习|21|2022-02-10|
|197|[zhaihulu/DataScience](https://github.com/zhaihulu/DataScience)|-|20|2021-10-12|
|198|[richieBao/Urban-Spatial-Data-Analysis_python](https://github.com/richieBao/Urban-Spatial-Data-Analysis_python)|The second phase of <城市空间数据分析方法——PYTHON语言实现>|20|2021-12-13|
|199|[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|2022-02-10|
|200|[EmbraceLife/fastai_treasures](https://github.com/EmbraceLife/fastai_treasures)|digging the endless treasures of fastai|20|2021-09-27|
|144|[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|38|2022-02-09|
|145|[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|
|146|[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|2022-01-13|
|147|[Hongyu-Yue/yoloV5_modify_smalltarget](https://github.com/Hongyu-Yue/yoloV5_modify_smalltarget)|YOLOV5 小目标检测修改版|33|2021-08-21|
|148|[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 ...|33|2021-12-10|
|149|[wp931120/nlpapp](https://github.com/wp931120/nlpapp)|tensorflow ,keras ,bert ,flask ,nlp, machine reading , translater，seq2seq |33|2022-02-10|
|150|[HuichuanLI/Recommand-Algorithme](https://github.com/HuichuanLI/Recommand-Algorithme)|推荐算法实战(Recommend algorithm)|33|2021-10-31|
|151|[maloyang/PLC-Python](https://github.com/maloyang/PLC-Python)|KHPy_2018-03-05_工業4.0: PLC與Python共舞|33|2021-12-09|
|152|[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）|32|2022-01-19|
|153|[hhhparty/security](https://github.com/hhhparty/security)|About cyber security, data scrapy , aisec analysis, vulnerability analysis, enterprise security, and so on.|32|2022-01-27|
|154|[DIUx-xView/xview3-reference](https://github.com/DIUx-xView/xview3-reference)|Reference data processing code and model for the xView3 prize challenge.|31|2021-11-29|
|155|[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 🐍|31|2022-01-01|
|156|[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|
|157|[cacolola/python-LEC](https://github.com/cacolola/python-LEC)|python数据分析基础|31|2021-09-14|
|158|[BSlience/rasa-conversational-ai](https://github.com/BSlience/rasa-conversational-ai)|Conversational AI based on Rasa|30|2022-02-11|
|159|[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。|30|2021-12-06|
|160|[agave233/2020-CCF-Crowd-Flow-Prediction](https://github.com/agave233/2020-CCF-Crowd-Flow-Prediction)|科技战疫-大数据公益挑战赛-DataFountain重点区域人群密度预测 第1名方案|30|2021-12-28|
|161|[SocratesAcademy/datascience](https://github.com/SocratesAcademy/datascience)|Introduction to Python Programming for Data Science|30|2022-01-13|
|162|[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|29|2021-11-19|
|163|[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.|29|2021-12-31|
|164|[01ly/Codes](https://github.com/01ly/Codes)|不可能不会系列|29|2022-02-10|
|165|[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|
|166|[ybdesire/machinelearning](https://github.com/ybdesire/machinelearning)|My machine learning code written by python.|29|2021-11-19|
|167|[baidu/Quanlse](https://github.com/baidu/Quanlse)|-|28|2021-12-22|
|168|[ryan4yin/knowledge](https://github.com/ryan4yin/knowledge)|Everything I know: DevOps & CloudNative, Music, etc...|28|2022-02-13|
|169|[PaddlePaddle/PaddleSpatial](https://github.com/PaddlePaddle/PaddleSpatial)|PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle. |27|2021-12-17|
|170|[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|26|2021-11-08|
|171|[oegedijk/dash_oop_components](https://github.com/oegedijk/dash_oop_components)|OOP components for plotly dash that make dashboard components composable, reusable and configurable|26|2021-09-28|
|172|[lures2019/lures2020-demos](https://github.com/lures2019/lures2020-demos)|lures2020年写的一些项目和程序|26|2021-09-11|
|173|[lingjzhu/probing-TTS-models](https://github.com/lingjzhu/probing-TTS-models)|Link to paper: https://www.isca-speech.org/archive_v0/SpeechProsody_2020/pdfs/51.pdf|26|2021-09-06|
|174|[deepintomlf/mlfbook](https://github.com/deepintomlf/mlfbook)|-|26|2021-09-26|
|175|[yylonly/ServeNet](https://github.com/yylonly/ServeNet)|Service Classification based on Service Description|26|2021-10-17|
|176|[cyang03/CHECKED](https://github.com/cyang03/CHECKED)|-|25|2021-08-22|
|177|[OneOneLiu/ggcnn_cornell_dataset](https://github.com/OneOneLiu/ggcnn_cornell_dataset)|cornell grasp dataset analyses and process|25|2022-02-13|
|178|[PanJinquan/python-learning-notes](https://github.com/PanJinquan/python-learning-notes)|代码|25|2022-01-13|
|179|[victorgau/MultiStrategies](https://github.com/victorgau/MultiStrategies)|多策略回測比較|25|2021-12-13|
|180|[Quantum-Dynamics-Hub/libra-code](https://github.com/Quantum-Dynamics-Hub/libra-code)|-|25|2022-02-11|
|181|[KristiyanVachev/Leaf-Question-Generation](https://github.com/KristiyanVachev/Leaf-Question-Generation)|Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.|24|2022-02-02|
|182|[EMUNES/Auto-Subtitle-File-Generation](https://github.com/EMUNES/Auto-Subtitle-File-Generation)|Generate subtitle files with timelines in an automatic way.|24|2021-11-09|
|183|[luiarthur/TuringBnpBenchmarks](https://github.com/luiarthur/TuringBnpBenchmarks)|Benchmarks of Bayesian Nonparametric models in Turing and other PPLs|24|2022-02-11|
|184|[linbang/Metapath2vec](https://github.com/linbang/Metapath2vec)|使用DGL和pytorch实现metapath2vec|24|2021-09-17|
|185|[HuichuanLI/play-with-graph-algorithme](https://github.com/HuichuanLI/play-with-graph-algorithme)|python实现的初级图论算法库:环检测问题,桥和割点,最小生成树,最短路径,欧拉路径,哈密尔顿路径,拓扑排序，最大流问题，匹配问题(匈牙利算法)|24|2021-09-16|
|186|[voidful/Phraseg](https://github.com/voidful/Phraseg)|Phraseg - 一言：新詞發現工具包|24|2021-11-30|
|187|[hktxt/Courses](https://github.com/hktxt/Courses)|An AI engineer Prepares / 算法工程师自我修养|24|2022-01-21|
|188|[yutiansut/QIFIAccount](https://github.com/yutiansut/QIFIAccount)|QIFI协议下的Account实现|23|2021-09-03|
|189|[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|2022-02-11|
|190|[accomdemy/accomdemy](https://github.com/accomdemy/accomdemy)|Welcome to Accomdemy! 歡迎來到伴伴學！|22|2021-12-24|
|191|[chengjun/mybook](https://github.com/chengjun/mybook)|My Lectures on Computational Communication |22|2022-01-13|
|192|[aws-samples/smart-cooler](https://github.com/aws-samples/smart-cooler)|-|22|2022-01-31|
|193|[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|2022-02-10|
|194|[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|21|2022-01-13|
|195|[OneStepAndTwoSteps/Data_Analysis_notes](https://github.com/OneStepAndTwoSteps/Data_Analysis_notes)|📖 data-analysis 数据分析、machine-learning 机器学习|21|2022-02-10|
|196|[zhaihulu/DataScience](https://github.com/zhaihulu/DataScience)|-|20|2021-10-12|
|197|[richieBao/Urban-Spatial-Data-Analysis_python](https://github.com/richieBao/Urban-Spatial-Data-Analysis_python)|The second phase of <城市空间数据分析方法——PYTHON语言实现>|20|2021-12-13|
|198|[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|2022-02-10|
|199|[EmbraceLife/fastai_treasures](https://github.com/EmbraceLife/fastai_treasures)|digging the endless treasures of fastai|20|2021-09-27|
|200|[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|
<div align="center">
<p><sub>↓ -- 感谢读者 -- ↓</sub></p>