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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: 2022-03-09&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: 2022-03-10&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|
|:-|:-|:-|:-|:-|
@ -69,142 +69,142 @@
|62|[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。|195|2022-02-11|
|63|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|193|2022-02-01|
|64|[collective-action/tech](https://github.com/collective-action/tech)|Documentation of all collective action from tech workers.|186|2022-03-08|
|65|[brain-zhang/xianglong](https://github.com/brain-zhang/xianglong)|资产配置方案|179|2021-09-07|
|66|[44670/SourceHanSans-Pixel](https://github.com/44670/SourceHanSans-Pixel)|基于思源黑体的开源像素字体|173|2022-01-03|
|67|[duoergun0729/adversarial_examples](https://github.com/duoergun0729/adversarial_examples)|对抗样本|165|2022-02-11|
|68|[huseinzol05/malay-dataset](https://github.com/huseinzol05/malay-dataset)|Text corpus for Bahasa Malaysia, https://malaya.readthedocs.io/en/latest/Dataset.html|163|2022-02-28|
|69|[hscspring/All4NLP](https://github.com/hscspring/All4NLP)|All For NLP, especially Chinese.|160|2021-10-22|
|70|[simbafl/Data-analysis](https://github.com/simbafl/Data-analysis)|数据分析，挖掘建模。|159|2022-01-02|
|71|[vespa-engine/sample-apps](https://github.com/vespa-engine/sample-apps)|Repository of sample applications|157|2022-03-08|
|72|[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|2022-02-13|
|73|[mindspore-ai/docs](https://github.com/mindspore-ai/docs)|MindSpore document|145|2022-03-08|
|74|[seaniezhao/torch_npss](https://github.com/seaniezhao/torch_npss)|pytorch implementation of Neural Parametric Singing Synthesizer 歌声合成|141|2021-12-27|
|75|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|140|2022-03-07|
|76|[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|140|2021-11-02|
|77|[chenmingxiang110/Chinese-automatic-speech-recognition](https://github.com/chenmingxiang110/Chinese-automatic-speech-recognition)|Chinese speech recognition|136|2021-09-13|
|78|[wshuyi/demo-spacy-text-processing](https://github.com/wshuyi/demo-spacy-text-processing)|-|130|2022-01-21|
|79|[nmcdev/meteva](https://github.com/nmcdev/meteva)|提供气象产品检验相关程序|129|2022-03-03|
|80|[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。|129|2022-01-30|
|81|[joewandy/hlda](https://github.com/joewandy/hlda)|Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model|124|2022-01-21|
|82|[zhentaoshi/econ5170](https://github.com/zhentaoshi/econ5170)|Econ5170@CUHK: Computational Methods in Economics (2020 Spring). |122|2022-01-13|
|83|[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…… 🥤|120|2021-12-20|
|84|[azy1988/ML-CV](https://github.com/azy1988/ML-CV)|机器学习实战|119|2022-02-11|
|85|[tugstugi/mongolian-nlp](https://github.com/tugstugi/mongolian-nlp)|Useful resources for Mongolian NLP|110|2022-02-09|
|86|[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|107|2021-11-17|
|87|[qwfy/doc-browser](https://github.com/qwfy/doc-browser)|A documentation browser with support for DevDocs, Dash and Hoogle, written in Haskell and QML|106|2021-10-09|
|88|[lyhue1991/PythonAiRoad](https://github.com/lyhue1991/PythonAiRoad)|source code of some articles |105|2022-01-23|
|89|[jonnor/embeddedml](https://github.com/jonnor/embeddedml)|-|103|2022-02-04|
|90|[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|102|2022-03-08|
|91|[arjunmann73/Data-Analytics-Projects](https://github.com/arjunmann73/Data-Analytics-Projects)|:mag_right: Data analysis with real world data sets using Python :mag:|102|2021-10-16|
|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|101|2022-02-11|
|93|[nyukat/GMIC](https://github.com/nyukat/GMIC)|An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization|101|2022-03-06|
|94|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|100|2022-02-24|
|95|[neozhu/smartadmin.core.urf](https://github.com/neozhu/smartadmin.core.urf)|Domain Driven Design (DDD) lightweight development architecture(support .net 5.0)|97|2021-09-13|
|96|[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|2022-02-27|
|97|[HowardNTUST/Marketing-Data-Science-Application](https://github.com/HowardNTUST/Marketing-Data-Science-Application)|-|96|2022-02-28|
|98|[covid-19-net/covid-19-community](https://github.com/covid-19-net/covid-19-community)| Community effort to build a Neo4j Knowledge Graph (KG) that links heterogeneous data about COVID-19 |95|2022-01-10|
|99|[dsh0416/quantum-i-ching](https://github.com/dsh0416/quantum-i-ching)|A Quantum 爻 System Implementation for Divination |94|2022-01-21|
|100|[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 ...|93|2022-01-08|
|101|[blueapplehe/car_identify](https://github.com/blueapplehe/car_identify)|汽车识别，汽车车型识别，汽车品牌识别，车辆识别，深度学习，神经网络|93|2022-01-28|
|102|[andy6804tw/2020-12th-ironman](https://github.com/andy6804tw/2020-12th-ironman)|[全民瘋AI系列] 第12屆iT邦幫忙鐵人賽 影片教學組 |91|2021-09-27|
|103|[X-lab2017/open-digger](https://github.com/X-lab2017/open-digger)|GitHub analysis tools|91|2022-03-07|
|104|[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|89|2022-01-12|
|105|[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……|86|2022-02-07|
|106|[zhangzhiqiangccm/NLP-project](https://github.com/zhangzhiqiangccm/NLP-project)|自然语言处理中的基础任务，包含但不限于文本表示，文本分类，命名实体识别，关系抽取，文本生成，文本摘要等，基于tensorflow2或Pytorch，所有代码均经过测试，项目中也包含相关数据。|85|2021-11-02|
|107|[je-santos/MPLBM-UT](https://github.com/je-santos/MPLBM-UT)|Library for performing multiphase simulations (based on the Shan-Chen model) in complicated geometries (i.e. porous media 3D images)|83|2022-03-07|
|108|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.|82|2022-03-08|
|109|[montera34/escovid19data](https://github.com/montera34/escovid19data)|Recopilación de datos de COVID19 por provincias en España|82|2022-03-08|
|110|[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|82|2021-12-16|
|111|[svakulenk0/KBQA](https://github.com/svakulenk0/KBQA)|Complex Question Answering over Knowledge Graphs|82|2022-02-11|
|112|[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 ...|80|2021-11-25|
|113|[wangzheng422/docker_env](https://github.com/wangzheng422/docker_env)|Personal working log and md documents. Currently forcus on openshift4.|79|2022-03-07|
|114|[Flowingsun007/DeepLearningTutorial](https://github.com/Flowingsun007/DeepLearningTutorial)|Talk is cheap,show me the code ! Deep Learning,Leaning deep,Have fun!|78|2022-02-10|
|115|[jajupmochi/graphkit-learn](https://github.com/jajupmochi/graphkit-learn)|A python package for graph kernels, graph edit distances, and graph pre-image problem.|75|2022-02-14|
|116|[datawhalechina/powerful-numpy](https://github.com/datawhalechina/powerful-numpy)|巨硬的NumPy|72|2022-03-04|
|117|[datawhalechina/learn-python-the-smart-way](https://github.com/datawhalechina/learn-python-the-smart-way)|聪明方法学Python，简明且系统的 Python 入门教程。|72|2022-01-25|
|118|[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|
|119|[Liang-ZX/VectorNet](https://github.com/Liang-ZX/VectorNet)|Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”|68|2021-10-28|
|120|[EricZhu-42/SteamTradingSiteTracker](https://github.com/EricZhu-42/SteamTradingSiteTracker)|Steam 挂刀行情站 —— 24小时自动更新的 BUFF & IGXE & C5 挂刀比例数据 Track cheap Steam Community Market items on buff.163.com, igxe.cn and c5game.com|67|2022-03-06|
|121|[dglai/maxp_baseline_model](https://github.com/dglai/maxp_baseline_model)|-|67|2021-11-05|
|122|[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.|65|2021-10-01|
|123|[kevin-meng/financial_stock_knowledge_graph](https://github.com/kevin-meng/financial_stock_knowledge_graph)|base on chinese stock market data|64|2021-10-05|
|124|[lingjzhu/charsiu](https://github.com/lingjzhu/charsiu)|Charsiu: A neural phonetic aligner.|63|2022-02-12|
|125|[JuliaCN/MeetUpMaterials](https://github.com/JuliaCN/MeetUpMaterials)|Julia中文社区活动的各种材料 Meetup Materials |62|2021-12-23|
|126|[chokkan/python](https://github.com/chokkan/python)|Python早見帳|58|2021-11-28|
|127|[knowledgedefinednetworking/demo-routenet](https://github.com/knowledgedefinednetworking/demo-routenet)|Demo of RouteNet in ACM SIGCOMM'19|58|2022-02-11|
|128|[Dustyposa/goSpider](https://github.com/Dustyposa/goSpider)|some small project and some articles|56|2021-12-03|
|129|[guyujun/pyrosetta-basic](https://github.com/guyujun/pyrosetta-basic)|-|55|2021-10-27|
|130|[zipzou/captcha-recognition](https://github.com/zipzou/captcha-recognition)|验证码OCR识别|55|2022-01-13|
|131|[xinihe/jrxy_python_course](https://github.com/xinihe/jrxy_python_course)|Python in Finance |54|2021-12-20|
|132|[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 ...|52|2022-03-03|
|133|[zhentaoshi/Econ5121A](https://github.com/zhentaoshi/Econ5121A)|Econ5121A@CUHK. This is an open-source writing project.|51|2022-01-22|
|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|49|2022-02-26|
|135|[jonatasgrosman/wav2vec2-sprint](https://github.com/jonatasgrosman/wav2vec2-sprint)|-|49|2022-02-22|
|136|[lvxingchang/Interesting-python](https://github.com/lvxingchang/Interesting-python)|-|49|2021-10-21|
|137|[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）|47|2022-01-19|
|138|[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|
|139|[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|
|140|[WHUFT/WHU_FinTech_Workshop](https://github.com/WHUFT/WHU_FinTech_Workshop)|武汉大学金融科技研讨班|45|2022-02-22|
|141|[Valuebai/Text-Auto-Summarization](https://github.com/Valuebai/Text-Auto-Summarization)|文本自动摘要|44|2022-02-11|
|142|[polarisZhao/pytorch-cookbook](https://github.com/polarisZhao/pytorch-cookbook)|-|44|2022-01-13|
|143|[QikaiXu/Recommender-System-Pytorch](https://github.com/QikaiXu/Recommender-System-Pytorch)|基于 Pytorch 实现推荐系统相关的算法|43|2021-11-17|
|144|[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）|43|2022-01-27|
|145|[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|
|146|[makelove/True_Artificial_Intelligence](https://github.com/makelove/True_Artificial_Intelligence)|真AI人工智能|42|2022-03-02|
|147|[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|41|2022-02-09|
|148|[Yefee/xMCA](https://github.com/Yefee/xMCA)|Maximum Covariance Analysis in xarray for Climate Science|41|2021-11-07|
|149|[microsoft/inmt](https://github.com/microsoft/inmt)|Interactive Neural Machine Translation tool|40|2022-02-11|
|150|[xiaohuiduan/dcgan_anime_avatars](https://github.com/xiaohuiduan/dcgan_anime_avatars)|基于keras使用dcgan自动生成动漫头像|39|2021-11-10|
|151|[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|
|152|[HuichuanLI/Recommand-Algorithme](https://github.com/HuichuanLI/Recommand-Algorithme)|推荐算法实战(Recommend algorithm)|37|2021-10-31|
|153|[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 ...|35|2021-12-10|
|154|[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|2022-03-02|
|155|[wp931120/nlpapp](https://github.com/wp931120/nlpapp)|tensorflow ,keras ,bert ,flask ,nlp, machine reading , translater，seq2seq |33|2022-02-10|
|156|[cacolola/python-LEC](https://github.com/cacolola/python-LEC)|python数据分析基础|33|2022-02-21|
|157|[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|
|158|[xsthunder/download-youtube-subtitle](https://github.com/xsthunder/download-youtube-subtitle)|download youtube subtitles(closed caption, cc) as txt or json, support translation and proxy. available on PIP 🐍|32|2022-01-01|
|159|[ryan4yin/knowledge](https://github.com/ryan4yin/knowledge)|Everything I know: DevOps & CloudNative, Music, etc...|32|2022-03-05|
|160|[hhhparty/security](https://github.com/hhhparty/security)|About cyber security, data scrapy , aisec analysis, vulnerability analysis, enterprise security, and so on.|32|2022-03-03|
|161|[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|31|2021-11-19|
|162|[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|
|163|[BSlience/rasa-conversational-ai](https://github.com/BSlience/rasa-conversational-ai)|Conversational AI based on Rasa|31|2022-02-11|
|164|[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。|31|2021-12-06|
|165|[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|
|166|[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.|30|2021-12-31|
|167|[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|
|168|[sijichun/PythonTutor](https://github.com/sijichun/PythonTutor)|Python教学|30|2022-03-06|
|169|[SocratesAcademy/datascience](https://github.com/SocratesAcademy/datascience)|Introduction to Python Programming for Data Science|30|2022-01-13|
|170|[KristiyanVachev/Leaf-Question-Generation](https://github.com/KristiyanVachev/Leaf-Question-Generation)|Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.|29|2022-03-07|
|171|[PaddlePaddle/PaddleSpatial](https://github.com/PaddlePaddle/PaddleSpatial)|PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle. |29|2021-12-17|
|172|[01ly/Codes](https://github.com/01ly/Codes)|不可能不会系列|29|2022-02-10|
|173|[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|
|174|[ybdesire/machinelearning](https://github.com/ybdesire/machinelearning)|My machine learning code written by python.|29|2021-11-19|
|175|[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|28|2021-11-08|
|176|[baidu/Quanlse](https://github.com/baidu/Quanlse)|-|28|2021-12-22|
|177|[linbang/Metapath2vec](https://github.com/linbang/Metapath2vec)|使用DGL和pytorch实现metapath2vec|28|2021-09-17|
|178|[deepintomlf/mlfbook](https://github.com/deepintomlf/mlfbook)|-|28|2021-09-26|
|179|[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|2022-03-01|
|180|[EMUNES/Auto-Subtitle-File-Generation](https://github.com/EMUNES/Auto-Subtitle-File-Generation)|Generate subtitle files with timelines in an automatic way.|26|2021-11-09|
|181|[OneOneLiu/ggcnn_cornell_dataset](https://github.com/OneOneLiu/ggcnn_cornell_dataset)|cornell grasp dataset analyses and process|26|2022-02-25|
|182|[lures2019/lures2020-demos](https://github.com/lures2019/lures2020-demos)|lures2020年写的一些项目和程序|26|2021-09-11|
|183|[PanJinquan/python-learning-notes](https://github.com/PanJinquan/python-learning-notes)|代码|26|2022-01-13|
|184|[yylonly/ServeNet](https://github.com/yylonly/ServeNet)|Service Classification based on Service Description|26|2021-10-17|
|185|[Quantum-Dynamics-Hub/libra-code](https://github.com/Quantum-Dynamics-Hub/libra-code)|-|26|2022-03-02|
|186|[victorgau/MultiStrategies](https://github.com/victorgau/MultiStrategies)|多策略回測比較|25|2021-12-13|
|187|[luiarthur/TuringBnpBenchmarks](https://github.com/luiarthur/TuringBnpBenchmarks)|Benchmarks of Bayesian Nonparametric models in Turing and other PPLs|24|2022-02-11|
|188|[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|
|189|[voidful/Phraseg](https://github.com/voidful/Phraseg)|Phraseg - 一言：新詞發現工具包|24|2021-11-30|
|190|[chengjun/mybook](https://github.com/chengjun/mybook)|My Lectures on Computational Communication |23|2022-01-13|
|191|[OneStepAndTwoSteps/Data_Analysis_notes](https://github.com/OneStepAndTwoSteps/Data_Analysis_notes)|📖 data-analysis 数据分析、machine-learning 机器学习|23|2022-03-08|
|192|[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|
|193|[accomdemy/accomdemy](https://github.com/accomdemy/accomdemy)|Welcome to Accomdemy! 歡迎來到伴伴學！|22|2021-12-24|
|194|[aws-samples/smart-cooler](https://github.com/aws-samples/smart-cooler)|-|22|2022-02-14|
|195|[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|
|196|[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|2022-01-13|
|197|[hktxt/Courses](https://github.com/hktxt/Courses)|An AI engineer Prepares / 算法工程师自我修养|22|2022-01-21|
|198|[zhaihulu/DataScience](https://github.com/zhaihulu/DataScience)|-|21|2021-10-12|
|199|[dbkk/docx-researchmap](https://github.com/dbkk/docx-researchmap)|-|21|2022-02-27|
|200|[ThisIsSoMe/CCKS2019-CKBQA](https://github.com/ThisIsSoMe/CCKS2019-CKBQA)|A system for CCKS2019-CKBQA, whose single system reach 0.69 and ensemble system reach 0.73|20|2021-10-19|
|65|[44670/SourceHanSans-Pixel](https://github.com/44670/SourceHanSans-Pixel)|基于思源黑体的开源像素字体|173|2022-01-03|
|66|[duoergun0729/adversarial_examples](https://github.com/duoergun0729/adversarial_examples)|对抗样本|165|2022-02-11|
|67|[huseinzol05/malay-dataset](https://github.com/huseinzol05/malay-dataset)|Text corpus for Bahasa Malaysia, https://malaya.readthedocs.io/en/latest/Dataset.html|163|2022-02-28|
|68|[hscspring/All4NLP](https://github.com/hscspring/All4NLP)|All For NLP, especially Chinese.|160|2021-10-22|
|69|[simbafl/Data-analysis](https://github.com/simbafl/Data-analysis)|数据分析，挖掘建模。|159|2022-01-02|
|70|[vespa-engine/sample-apps](https://github.com/vespa-engine/sample-apps)|Repository of sample applications|157|2022-03-08|
|71|[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|2022-02-13|
|72|[mindspore-ai/docs](https://github.com/mindspore-ai/docs)|MindSpore document|145|2022-03-08|
|73|[seaniezhao/torch_npss](https://github.com/seaniezhao/torch_npss)|pytorch implementation of Neural Parametric Singing Synthesizer 歌声合成|141|2021-12-27|
|74|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|140|2022-03-07|
|75|[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|140|2021-11-02|
|76|[chenmingxiang110/Chinese-automatic-speech-recognition](https://github.com/chenmingxiang110/Chinese-automatic-speech-recognition)|Chinese speech recognition|136|2021-09-13|
|77|[wshuyi/demo-spacy-text-processing](https://github.com/wshuyi/demo-spacy-text-processing)|-|130|2022-01-21|
|78|[nmcdev/meteva](https://github.com/nmcdev/meteva)|提供气象产品检验相关程序|129|2022-03-03|
|79|[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。|129|2022-01-30|
|80|[joewandy/hlda](https://github.com/joewandy/hlda)|Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model|124|2022-01-21|
|81|[zhentaoshi/econ5170](https://github.com/zhentaoshi/econ5170)|Econ5170@CUHK: Computational Methods in Economics (2020 Spring). |122|2022-01-13|
|82|[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…… 🥤|120|2021-12-20|
|83|[azy1988/ML-CV](https://github.com/azy1988/ML-CV)|机器学习实战|119|2022-02-11|
|84|[tugstugi/mongolian-nlp](https://github.com/tugstugi/mongolian-nlp)|Useful resources for Mongolian NLP|110|2022-02-09|
|85|[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|107|2021-11-17|
|86|[qwfy/doc-browser](https://github.com/qwfy/doc-browser)|A documentation browser with support for DevDocs, Dash and Hoogle, written in Haskell and QML|106|2021-10-09|
|87|[lyhue1991/PythonAiRoad](https://github.com/lyhue1991/PythonAiRoad)|source code of some articles |105|2022-01-23|
|88|[jonnor/embeddedml](https://github.com/jonnor/embeddedml)|-|103|2022-02-04|
|89|[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|102|2022-03-08|
|90|[arjunmann73/Data-Analytics-Projects](https://github.com/arjunmann73/Data-Analytics-Projects)|:mag_right: Data analysis with real world data sets using Python :mag:|102|2021-10-16|
|91|[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|101|2022-02-11|
|92|[nyukat/GMIC](https://github.com/nyukat/GMIC)|An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization|101|2022-03-06|
|93|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|100|2022-02-24|
|94|[neozhu/smartadmin.core.urf](https://github.com/neozhu/smartadmin.core.urf)|Domain Driven Design (DDD) lightweight development architecture(support .net 5.0)|97|2021-09-13|
|95|[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|2022-02-27|
|96|[HowardNTUST/Marketing-Data-Science-Application](https://github.com/HowardNTUST/Marketing-Data-Science-Application)|-|96|2022-02-28|
|97|[covid-19-net/covid-19-community](https://github.com/covid-19-net/covid-19-community)| Community effort to build a Neo4j Knowledge Graph (KG) that links heterogeneous data about COVID-19 |95|2022-01-10|
|98|[dsh0416/quantum-i-ching](https://github.com/dsh0416/quantum-i-ching)|A Quantum 爻 System Implementation for Divination |94|2022-01-21|
|99|[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 ...|93|2022-01-08|
|100|[blueapplehe/car_identify](https://github.com/blueapplehe/car_identify)|汽车识别，汽车车型识别，汽车品牌识别，车辆识别，深度学习，神经网络|93|2022-01-28|
|101|[andy6804tw/2020-12th-ironman](https://github.com/andy6804tw/2020-12th-ironman)|[全民瘋AI系列] 第12屆iT邦幫忙鐵人賽 影片教學組 |91|2021-09-27|
|102|[X-lab2017/open-digger](https://github.com/X-lab2017/open-digger)|GitHub analysis tools|91|2022-03-07|
|103|[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|89|2022-01-12|
|104|[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……|86|2022-02-07|
|105|[zhangzhiqiangccm/NLP-project](https://github.com/zhangzhiqiangccm/NLP-project)|自然语言处理中的基础任务，包含但不限于文本表示，文本分类，命名实体识别，关系抽取，文本生成，文本摘要等，基于tensorflow2或Pytorch，所有代码均经过测试，项目中也包含相关数据。|85|2021-11-02|
|106|[je-santos/MPLBM-UT](https://github.com/je-santos/MPLBM-UT)|Library for performing multiphase simulations (based on the Shan-Chen model) in complicated geometries (i.e. porous media 3D images)|83|2022-03-07|
|107|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.|82|2022-03-08|
|108|[montera34/escovid19data](https://github.com/montera34/escovid19data)|Recopilación de datos de COVID19 por provincias en España|82|2022-03-08|
|109|[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|82|2021-12-16|
|110|[svakulenk0/KBQA](https://github.com/svakulenk0/KBQA)|Complex Question Answering over Knowledge Graphs|82|2022-02-11|
|111|[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 ...|80|2021-11-25|
|112|[wangzheng422/docker_env](https://github.com/wangzheng422/docker_env)|Personal working log and md documents. Currently forcus on openshift4.|79|2022-03-07|
|113|[Flowingsun007/DeepLearningTutorial](https://github.com/Flowingsun007/DeepLearningTutorial)|Talk is cheap,show me the code ! Deep Learning,Leaning deep,Have fun!|78|2022-02-10|
|114|[jajupmochi/graphkit-learn](https://github.com/jajupmochi/graphkit-learn)|A python package for graph kernels, graph edit distances, and graph pre-image problem.|75|2022-02-14|
|115|[datawhalechina/powerful-numpy](https://github.com/datawhalechina/powerful-numpy)|巨硬的NumPy|72|2022-03-04|
|116|[datawhalechina/learn-python-the-smart-way](https://github.com/datawhalechina/learn-python-the-smart-way)|聪明方法学Python，简明且系统的 Python 入门教程。|72|2022-01-25|
|117|[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|
|118|[Liang-ZX/VectorNet](https://github.com/Liang-ZX/VectorNet)|Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”|68|2021-10-28|
|119|[EricZhu-42/SteamTradingSiteTracker](https://github.com/EricZhu-42/SteamTradingSiteTracker)|Steam 挂刀行情站 —— 24小时自动更新的 BUFF & IGXE & C5 挂刀比例数据 Track cheap Steam Community Market items on buff.163.com, igxe.cn and c5game.com|67|2022-03-06|
|120|[dglai/maxp_baseline_model](https://github.com/dglai/maxp_baseline_model)|-|67|2021-11-05|
|121|[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.|65|2021-10-01|
|122|[kevin-meng/financial_stock_knowledge_graph](https://github.com/kevin-meng/financial_stock_knowledge_graph)|base on chinese stock market data|64|2021-10-05|
|123|[lingjzhu/charsiu](https://github.com/lingjzhu/charsiu)|Charsiu: A neural phonetic aligner.|63|2022-02-12|
|124|[JuliaCN/MeetUpMaterials](https://github.com/JuliaCN/MeetUpMaterials)|Julia中文社区活动的各种材料 Meetup Materials |62|2021-12-23|
|125|[chokkan/python](https://github.com/chokkan/python)|Python早見帳|58|2021-11-28|
|126|[knowledgedefinednetworking/demo-routenet](https://github.com/knowledgedefinednetworking/demo-routenet)|Demo of RouteNet in ACM SIGCOMM'19|58|2022-02-11|
|127|[Dustyposa/goSpider](https://github.com/Dustyposa/goSpider)|some small project and some articles|56|2021-12-03|
|128|[guyujun/pyrosetta-basic](https://github.com/guyujun/pyrosetta-basic)|-|55|2021-10-27|
|129|[zipzou/captcha-recognition](https://github.com/zipzou/captcha-recognition)|验证码OCR识别|55|2022-01-13|
|130|[xinihe/jrxy_python_course](https://github.com/xinihe/jrxy_python_course)|Python in Finance |54|2021-12-20|
|131|[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 ...|52|2022-03-03|
|132|[zhentaoshi/Econ5121A](https://github.com/zhentaoshi/Econ5121A)|Econ5121A@CUHK. This is an open-source writing project.|51|2022-01-22|
|133|[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|49|2022-02-26|
|134|[jonatasgrosman/wav2vec2-sprint](https://github.com/jonatasgrosman/wav2vec2-sprint)|-|49|2022-02-22|
|135|[lvxingchang/Interesting-python](https://github.com/lvxingchang/Interesting-python)|-|49|2021-10-21|
|136|[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）|47|2022-01-19|
|137|[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|
|138|[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|
|139|[WHUFT/WHU_FinTech_Workshop](https://github.com/WHUFT/WHU_FinTech_Workshop)|武汉大学金融科技研讨班|45|2022-02-22|
|140|[Valuebai/Text-Auto-Summarization](https://github.com/Valuebai/Text-Auto-Summarization)|文本自动摘要|44|2022-02-11|
|141|[polarisZhao/pytorch-cookbook](https://github.com/polarisZhao/pytorch-cookbook)|-|44|2022-01-13|
|142|[QikaiXu/Recommender-System-Pytorch](https://github.com/QikaiXu/Recommender-System-Pytorch)|基于 Pytorch 实现推荐系统相关的算法|43|2021-11-17|
|143|[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）|43|2022-01-27|
|144|[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|
|145|[makelove/True_Artificial_Intelligence](https://github.com/makelove/True_Artificial_Intelligence)|真AI人工智能|42|2022-03-02|
|146|[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|41|2022-02-09|
|147|[Yefee/xMCA](https://github.com/Yefee/xMCA)|Maximum Covariance Analysis in xarray for Climate Science|41|2021-11-07|
|148|[microsoft/inmt](https://github.com/microsoft/inmt)|Interactive Neural Machine Translation tool|40|2022-02-11|
|149|[xiaohuiduan/dcgan_anime_avatars](https://github.com/xiaohuiduan/dcgan_anime_avatars)|基于keras使用dcgan自动生成动漫头像|39|2021-11-10|
|150|[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|
|151|[HuichuanLI/Recommand-Algorithme](https://github.com/HuichuanLI/Recommand-Algorithme)|推荐算法实战(Recommend algorithm)|37|2021-10-31|
|152|[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 ...|35|2021-12-10|
|153|[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|2022-03-02|
|154|[wp931120/nlpapp](https://github.com/wp931120/nlpapp)|tensorflow ,keras ,bert ,flask ,nlp, machine reading , translater，seq2seq |33|2022-02-10|
|155|[cacolola/python-LEC](https://github.com/cacolola/python-LEC)|python数据分析基础|33|2022-02-21|
|156|[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|
|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 🐍|32|2022-01-01|
|158|[ryan4yin/knowledge](https://github.com/ryan4yin/knowledge)|Everything I know: DevOps & CloudNative, Music, etc...|32|2022-03-05|
|159|[hhhparty/security](https://github.com/hhhparty/security)|About cyber security, data scrapy , aisec analysis, vulnerability analysis, enterprise security, and so on.|32|2022-03-03|
|160|[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|31|2021-11-19|
|161|[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|
|162|[BSlience/rasa-conversational-ai](https://github.com/BSlience/rasa-conversational-ai)|Conversational AI based on Rasa|31|2022-02-11|
|163|[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。|31|2021-12-06|
|164|[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|
|165|[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.|30|2021-12-31|
|166|[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|
|167|[sijichun/PythonTutor](https://github.com/sijichun/PythonTutor)|Python教学|30|2022-03-06|
|168|[SocratesAcademy/datascience](https://github.com/SocratesAcademy/datascience)|Introduction to Python Programming for Data Science|30|2022-01-13|
|169|[KristiyanVachev/Leaf-Question-Generation](https://github.com/KristiyanVachev/Leaf-Question-Generation)|Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.|29|2022-03-07|
|170|[PaddlePaddle/PaddleSpatial](https://github.com/PaddlePaddle/PaddleSpatial)|PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle. |29|2021-12-17|
|171|[01ly/Codes](https://github.com/01ly/Codes)|不可能不会系列|29|2022-02-10|
|172|[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|
|173|[ybdesire/machinelearning](https://github.com/ybdesire/machinelearning)|My machine learning code written by python.|29|2021-11-19|
|174|[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|28|2021-11-08|
|175|[baidu/Quanlse](https://github.com/baidu/Quanlse)|-|28|2021-12-22|
|176|[linbang/Metapath2vec](https://github.com/linbang/Metapath2vec)|使用DGL和pytorch实现metapath2vec|28|2021-09-17|
|177|[deepintomlf/mlfbook](https://github.com/deepintomlf/mlfbook)|-|28|2021-09-26|
|178|[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|2022-03-01|
|179|[EMUNES/Auto-Subtitle-File-Generation](https://github.com/EMUNES/Auto-Subtitle-File-Generation)|Generate subtitle files with timelines in an automatic way.|26|2021-11-09|
|180|[OneOneLiu/ggcnn_cornell_dataset](https://github.com/OneOneLiu/ggcnn_cornell_dataset)|cornell grasp dataset analyses and process|26|2022-02-25|
|181|[lures2019/lures2020-demos](https://github.com/lures2019/lures2020-demos)|lures2020年写的一些项目和程序|26|2021-09-11|
|182|[PanJinquan/python-learning-notes](https://github.com/PanJinquan/python-learning-notes)|代码|26|2022-01-13|
|183|[yylonly/ServeNet](https://github.com/yylonly/ServeNet)|Service Classification based on Service Description|26|2021-10-17|
|184|[Quantum-Dynamics-Hub/libra-code](https://github.com/Quantum-Dynamics-Hub/libra-code)|-|26|2022-03-02|
|185|[victorgau/MultiStrategies](https://github.com/victorgau/MultiStrategies)|多策略回測比較|25|2021-12-13|
|186|[luiarthur/TuringBnpBenchmarks](https://github.com/luiarthur/TuringBnpBenchmarks)|Benchmarks of Bayesian Nonparametric models in Turing and other PPLs|24|2022-02-11|
|187|[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|
|188|[voidful/Phraseg](https://github.com/voidful/Phraseg)|Phraseg - 一言：新詞發現工具包|24|2021-11-30|
|189|[chengjun/mybook](https://github.com/chengjun/mybook)|My Lectures on Computational Communication |23|2022-01-13|
|190|[OneStepAndTwoSteps/Data_Analysis_notes](https://github.com/OneStepAndTwoSteps/Data_Analysis_notes)|📖 data-analysis 数据分析、machine-learning 机器学习|23|2022-03-08|
|191|[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|
|192|[accomdemy/accomdemy](https://github.com/accomdemy/accomdemy)|Welcome to Accomdemy! 歡迎來到伴伴學！|22|2021-12-24|
|193|[aws-samples/smart-cooler](https://github.com/aws-samples/smart-cooler)|-|22|2022-02-14|
|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|22|2022-01-13|
|196|[hktxt/Courses](https://github.com/hktxt/Courses)|An AI engineer Prepares / 算法工程师自我修养|22|2022-01-21|
|197|[zhaihulu/DataScience](https://github.com/zhaihulu/DataScience)|-|21|2021-10-12|
|198|[dbkk/docx-researchmap](https://github.com/dbkk/docx-researchmap)|-|21|2022-02-27|
|199|[ThisIsSoMe/CCKS2019-CKBQA](https://github.com/ThisIsSoMe/CCKS2019-CKBQA)|A system for CCKS2019-CKBQA, whose single system reach 0.69 and ensemble system reach 0.73|20|2021-10-19|
|200|[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|
<div align="center">
<p><sub>↓ -- 感谢读者 -- ↓</sub></p>