返回目录问题反馈 # 中文总榜 > 软件类 > Jupyter Notebook 数据更新: 2022-12-09   /   温馨提示:中文项目泛指「文档母语为中文」OR「含有中文翻译」的项目,通常在项目的「readme/wiki/官网」可以找到 |#|Repository|Description|Stars|Updated| |:-|:-|:-|:-|:-| |1|[roboticcam/machine-learning-notes](https://github.com/roboticcam/machine-learning-notes)|My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接|7229|2022-11-28| |2|[cleverhans-lab/cleverhans](https://github.com/cleverhans-lab/cleverhans)|An adversarial example library for constructing attacks, building defenses, and benchmarking both|5663|2022-10-23| |3|[alphacep/vosk-api](https://github.com/alphacep/vosk-api)|Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node|4908|2022-12-07| |4|[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|3127|2022-08-16| |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.|2879|2022-08-18| |6|[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.|2503|2022-12-04| |7|[wangshub/RL-Stock](https://github.com/wangshub/RL-Stock)|📈 如何用深度强化学习自动炒股|2428|2022-11-22| |8|[datawhalechina/fun-rec](https://github.com/datawhalechina/fun-rec)|推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/|2025|2022-11-23| |9|[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/|1826|2022-11-23| |10|[marcotcr/checklist](https://github.com/marcotcr/checklist)|Beyond Accuracy: Behavioral Testing of NLP models with CheckList|1808|2022-12-06| |11|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|1771|2022-09-30| |12|[linyiLYi/pose-monitor](https://github.com/linyiLYi/pose-monitor)|“让爷康康”是一款手机 AI 应用程序,可以监测不良坐姿并进行语音提示|1712|2022-11-28| |13|[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 causality. |1596|2022-12-07| |14|[TheEconomist/big-mac-data](https://github.com/TheEconomist/big-mac-data)|Data and methodology for the Big Mac index|1357|2022-07-25| |15|[amaiya/ktrain](https://github.com/amaiya/ktrain)|ktrain is a Python library that makes deep learning and AI more accessible and easier to apply|1034|2022-08-04| |16|[Tiiiger/bert_score](https://github.com/Tiiiger/bert_score)|BERT score for text generation|1007|2022-11-18| |17|[juntang-zhuang/Adabelief-Optimizer](https://github.com/juntang-zhuang/Adabelief-Optimizer)|Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"|995|2022-10-25| |18|[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|949|2022-06-28| |19|[gengyanlei/fire-smoke-detect-yolov4](https://github.com/gengyanlei/fire-smoke-detect-yolov4)|fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测,烟雾检测|861|2022-12-03| |20|[tencentmusic/cube-studio](https://github.com/tencentmusic/cube-studio)|云原生一站式机器学习平台,多租户,数据资产,notebook在线开发,拖拉拽任务流编排,多机多卡分布式训练,超参搜索,推理服务,多集群调度,多项目组资源组,边缘计算,大模型实时训练, ai应用商店|830|2022-12-08| |21|[fastai/course20](https://github.com/fastai/course20)|Deep Learning for Coders, 2020, the website|815|2022-10-24| |22|[patrick-llgc/Learning-Deep-Learning](https://github.com/patrick-llgc/Learning-Deep-Learning)|Paper reading notes on Deep Learning and Machine Learning|752|2022-11-20| |23|[hugo2046/QuantsPlaybook](https://github.com/hugo2046/QuantsPlaybook)|量化研究-券商金工研报复现|744|2022-12-06| |24|[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 ...|721|2022-11-06| |25|[fastai/imagenette](https://github.com/fastai/imagenette)|A smaller subset of 10 easily classified classes from Imagenet, and a little more French|709|2022-09-26| |26|[boyu-ai/Hands-on-RL](https://github.com/boyu-ai/Hands-on-RL)|https://hrl.boyuai.com/|701|2022-11-22| |27|[LinXueyuanStdio/LaTeX_OCR_PRO](https://github.com/LinXueyuanStdio/LaTeX_OCR_PRO)|:art: 数学公式识别增强版:中英文手写印刷公式、支持初级符号推导(数据结构基于 LaTeX 抽象语法树)Math Formula OCR Pro, supports handwrite, Chinese-mixed formulas and simple symbol reasoning (based on LaTeX AST). |689|2022-11-22| |28|[Syencil/mobile-yolov5-pruning-distillation](https://github.com/Syencil/mobile-yolov5-pruning-distillation)|mobilev2-yolov5s剪枝、蒸馏,支持ncnn,tensorRT部署。ultra-light but better performence!|654|2022-09-26| |29|[iphysresearch/TOP250movie_douban](https://github.com/iphysresearch/TOP250movie_douban)|TOP250豆瓣电影短评:Scrapy 爬虫+数据清理/分析+构建中文文本情感分析模型|544|2022-07-23| |30|[luo3300612/Visualizer](https://github.com/luo3300612/Visualizer)|assistant tools for attention visualization in deep learning|462|2022-06-09| |31|[yenlung/Python-3-Data-Analysis-Basics](https://github.com/yenlung/Python-3-Data-Analysis-Basics)|Python 3 與數據分析概要|461|2022-08-18| |32|[TommyZihao/Train_Custom_Dataset](https://github.com/TommyZihao/Train_Custom_Dataset)|标注自己的数据集,训练、评估、测试、部署自己的人工智能算法|451|2022-10-31| |33|[linguishi/chinese_sentiment](https://github.com/linguishi/chinese_sentiment)|中文情感分析,CNN,BI-LSTM,文本分类|438|2022-06-21| |34|[4paradigm/AutoX](https://github.com/4paradigm/AutoX)|AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.|427|2022-12-05| |35|[PaddlePaddle/Quantum](https://github.com/PaddlePaddle/Quantum)|-|410|2022-12-07| |36|[nladuo/THSTrader](https://github.com/nladuo/THSTrader)|量化交易。同花顺免费模拟炒股软件客户端的python API。(Python3)|409|2022-11-10| |37|[SummerGift/EmbeddedSystem](https://github.com/SummerGift/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|396|2022-11-23| |38|[d2l-ai/d2l-zh-pytorch-slides](https://github.com/d2l-ai/d2l-zh-pytorch-slides)|Pytorch版代码幻灯片|388|2022-12-07| |39|[EssayKillerBrain/EssayTopicPredict](https://github.com/EssayKillerBrain/EssayTopicPredict)|高考作文题目预测模型 v1.0|384|2022-09-18| |40|[LogicJake/competition_baselines](https://github.com/LogicJake/competition_baselines)|开源的各大比赛baseline|356|2022-09-14| |41|[LinXueyuanStdio/LaTeX_OCR](https://github.com/LinXueyuanStdio/LaTeX_OCR)|:gem: 数学公式识别 Math Formula OCR|335|2022-11-22| |42|[onlytiancai/codesnip](https://github.com/onlytiancai/codesnip)|代码片段|317|2022-12-07| |43|[zll17/Neural_Topic_Models](https://github.com/zll17/Neural_Topic_Models)|Implementation of topic models based on neural network approaches.|315|2022-10-02| |44|[Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB](https://github.com/Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB)|This is a repository about PCB defect detection.|314|2022-11-21| |45|[Estom/notes](https://github.com/Estom/notes)|一个码农的毕生所学!笔记 & 教程。考研,就业,上学.语言篇,Android,C++,Java,JavaScript,Latex,MATLAB,NodeJS,PHP,Python,技术篇,docker,git,Linux,Maven,office,Spark,Spring,SVN,基础篇,编译原理,操作系统,单片机,计算机网络,计算机网络实验,架构模式,软件文档写作,设计模式,数据结构,数据库,算 ...|298|2022-10-19| |46|[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|282|2022-11-22| |47|[EvilPsyCHo/Attention-PyTorch](https://github.com/EvilPsyCHo/Attention-PyTorch)|注意力机制实践|277|2022-07-11| |48|[derekhe/mobike-crawler](https://github.com/derekhe/mobike-crawler)|摩拜单车爬虫|266|2022-06-26| |49|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|260|2022-09-23| |50|[kexinhuang12345/clinicalBERT](https://github.com/kexinhuang12345/clinicalBERT)|ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)|253|2022-10-17| |51|[DeepTrial/Retina-VesselNet](https://github.com/DeepTrial/Retina-VesselNet)|A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2|252|2022-11-21| |52|[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🚶🚘🚉|251|2022-12-08| |53|[YiranJing/Coronavirus-Epidemic-COVID-19](https://github.com/YiranJing/Coronavirus-Epidemic-COVID-19)|👩🏻‍⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)|242|2022-09-30| |54|[X-lab2017/open-digger](https://github.com/X-lab2017/open-digger)|Open source analysis tools|227|2022-12-07| |55|[deepdialog/CPM-LM-TF2](https://github.com/deepdialog/CPM-LM-TF2)|-|225|2022-10-21| |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。|221|2022-11-22| |57|[JenifferWuUCLA/pulmonary-nodules-MaskRCNN](https://github.com/JenifferWuUCLA/pulmonary-nodules-MaskRCNN)|Mask R-CNN for Pulmonary Nodules Diagnosis, using TensorFlow 天池医疗AI大赛:Mask R-CNN肺部结节智能检测(Segmentation + Classification)|196|2022-10-12| |58|[huseinzol05/malay-dataset](https://github.com/huseinzol05/malay-dataset)|Text corpus for Bahasa Malaysia, https://malaya.readthedocs.io/en/latest/Dataset.html|194|2022-12-07| |59|[innnky/emotional-vits](https://github.com/innnky/emotional-vits)|无需情感标注的情感可控语音合成模型,基于VITS|192|2022-11-11| |60|[collective-action/tech](https://github.com/collective-action/tech)|Documentation of all collective action from tech workers.|190|2022-08-06| |61|[duoergun0729/adversarial_examples](https://github.com/duoergun0729/adversarial_examples)|对抗样本|189|2022-07-29| |62|[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、平台产品的逻辑与执行…… 🥤|181|2022-11-22| |63|[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|178|2022-09-26| |64|[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。|177|2022-10-22| |65|[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|176|2022-12-08| |66|[vespa-engine/sample-apps](https://github.com/vespa-engine/sample-apps)|Repository of sample applications|174|2022-08-04| |67|[arjunmann73/Data-Analytics-Projects](https://github.com/arjunmann73/Data-Analytics-Projects)|:mag_right: Data analysis with real world data sets using Python :mag:|166|2022-10-30| |68|[lyhue1991/PythonAiRoad](https://github.com/lyhue1991/PythonAiRoad)|source code of some articles |163|2022-08-20| |69|[mindspore-ai/docs](https://github.com/mindspore-ai/docs)|MindSpore document|154|2022-12-08| |70|[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|151|2022-12-05| |71|[datawhalechina/powerful-numpy](https://github.com/datawhalechina/powerful-numpy)|巨硬的NumPy|150|2022-07-20| |72|[ZhiqingXiao/pytorch-book](https://github.com/ZhiqingXiao/pytorch-book)|Source codes for the book "Application of Neural Network and PyTorch"|148|2022-09-11| |73|[Sanzo00/ML-homework](https://github.com/Sanzo00/ML-homework)|吴恩达机器学习作业|147|2022-11-03| |74|[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。|143|2022-09-13| |75|[nmcdev/meteva](https://github.com/nmcdev/meteva)|提供气象产品检验相关程序|141|2022-10-23| |76|[joewandy/hlda](https://github.com/joewandy/hlda)|Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model|139|2022-12-08| |77|[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|137|2022-10-16| |78|[azy1988/ML-CV](https://github.com/azy1988/ML-CV)|机器学习实战|135|2022-12-07| |79|[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 ...|130|2022-11-30| |80|[zhentaoshi/econ5170](https://github.com/zhentaoshi/econ5170)|Econ5170@CUHK: Computational Methods in Economics (2020 Spring). |129|2022-06-12| |81|[tugstugi/mongolian-nlp](https://github.com/tugstugi/mongolian-nlp)|Useful resources for Mongolian NLP|122|2022-09-25| |82|[jonnor/embeddedml](https://github.com/jonnor/embeddedml)|-|117|2022-12-07| |83|[nyukat/GMIC](https://github.com/nyukat/GMIC)|An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization|116|2022-11-05| |84|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|113|2022-10-29| |85|[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|112|2022-11-21| |86|[DongZhouGu/MathModel-Pretrain](https://github.com/DongZhouGu/MathModel-Pretrain)|研究生数学建模,华为杯数学建模,2021D题(数模之星),乳腺癌,机器学习,数据分析|112|2022-09-24| |87|[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 |111|2022-07-17| |88|[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。|108|2022-10-25| |89|[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|108|2022-08-14| |90|[HowardNTUST/Marketing-Data-Science-Application](https://github.com/HowardNTUST/Marketing-Data-Science-Application)|-|104|2022-11-04| |91|[Flowingsun007/DeepLearningTutorial](https://github.com/Flowingsun007/DeepLearningTutorial)|Talk is cheap,show me the code ! Deep Learning,Leaning deep,Have fun!|102|2022-11-22| |92|[wangzheng422/docker_env](https://github.com/wangzheng422/docker_env)|Personal working log and md documents. Currently forcus on openshift4.|102|2022-12-08| |93|[dsh0416/quantum-i-ching](https://github.com/dsh0416/quantum-i-ching)|A Quantum 爻 System Implementation for Divination |94|2022-07-29| |94|[YQGong/NN_From_Scratch](https://github.com/YQGong/NN_From_Scratch)|B站视频系列-从零开始的神经网络|90|2022-07-16| |95|[datawhalechina/office-automation](https://github.com/datawhalechina/office-automation)|python自动化办公|88|2022-07-28| |96|[jajupmochi/graphkit-learn](https://github.com/jajupmochi/graphkit-learn)|A python package for graph kernels, graph edit distances, and graph pre-image problem.|87|2022-06-24| |97|[Baymax94/children-python](https://github.com/Baymax94/children-python)|少儿编程教育|85|2022-09-10| |98|[montera34/escovid19data](https://github.com/montera34/escovid19data)|Recopilación de datos de COVID19 por provincias en España|83|2022-11-29| |99|[svakulenk0/KBQA](https://github.com/svakulenk0/KBQA)|Complex Question Answering over Knowledge Graphs|83|2022-12-08| |100|[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|80|2022-09-05| |101|[knowledgedefinednetworking/demo-routenet](https://github.com/knowledgedefinednetworking/demo-routenet)|Demo of RouteNet in ACM SIGCOMM'19|78|2022-11-21| |102|[andy6804tw/2021-13th-ironman](https://github.com/andy6804tw/2021-13th-ironman)|第13屆iT邦幫忙鐵人賽|75|2022-11-25| |103|[codecat0/CV](https://github.com/codecat0/CV)|本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络,图像生成网络等,并会持续更新!!!|72|2022-10-31| |104|[zipzou/captcha-recognition](https://github.com/zipzou/captcha-recognition)|验证码OCR识别|67|2022-12-08| |105|[JuliaCN/MeetUpMaterials](https://github.com/JuliaCN/MeetUpMaterials)|Julia中文社区活动的各种材料 Meetup Materials |67|2022-12-06| |106|[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|63|2022-11-21| |107|[zhentaoshi/Econ5121A](https://github.com/zhentaoshi/Econ5121A)|Econ5121A@CUHK. This is an open-source writing project.|59|2022-06-13| |108|[yjb6/CS231n-2022](https://github.com/yjb6/CS231n-2022)|CS231n作业代码实现|58|2022-08-05| |109|[matejker/everystreet](https://github.com/matejker/everystreet)|An algorithm finding #everystreet route on Open Street Map (OSMnx)|58|2022-12-06| |110|[ichn-hu/Speech-Recognition-Via-CNN](https://github.com/ichn-hu/Speech-Recognition-Via-CNN)|孤立词语音识别,复旦大学计算机科学技术学院数字信号处理期末项目|56|2022-07-19| |111|[xushengyuan/Fastsinging](https://github.com/xushengyuan/Fastsinging)|一个基于Fastspeech的开源歌声合成系统|54|2022-06-22| |112|[Valuebai/Text-Auto-Summarization](https://github.com/Valuebai/Text-Auto-Summarization)|文本自动摘要|54|2022-11-22| |113|[polarisZhao/pytorch-cookbook](https://github.com/polarisZhao/pytorch-cookbook)|-|54|2022-11-22| |114|[Yefee/xMCA](https://github.com/Yefee/xMCA)|Maximum Covariance Analysis in xarray for Climate Science|52|2022-06-21| |115|[HuichuanLI/Recommand-Algorithme](https://github.com/HuichuanLI/Recommand-Algorithme)|推荐算法实战(Recommend algorithm)|52|2022-11-27| |116|[kavinwow100/Deeplearning-and-Coding](https://github.com/kavinwow100/Deeplearning-and-Coding)|学习深度学习不如边写代码边学习,实际操作一遍才能理解数据的变换过程,参数的训练过程,这里整合了B站的jupter代码,可以结合着B站的视频边看边练,希望能对大家有帮助。|51|2022-10-18| |117|[PaddlePaddle/TrustAI](https://github.com/PaddlePaddle/TrustAI)|飞桨可信AI|51|2022-08-02| |118|[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|50|2022-08-06| |119|[EMUNES/Auto-Subtitle-File-Generation](https://github.com/EMUNES/Auto-Subtitle-File-Generation)|Generate subtitle files with timelines in an automatic way.|50|2022-08-10| |120|[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 ...|49|2022-06-23| |121|[makelove/True_Artificial_Intelligence](https://github.com/makelove/True_Artificial_Intelligence)|真AI人工智能|49|2022-12-08| |122|[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|47|2022-12-08| |123|[weepon/feature_selection](https://github.com/weepon/feature_selection)|常用的特征选择方法|47|2022-07-04| |124|[chengjun/mybook](https://github.com/chengjun/mybook)|Lectures on Computational Communication |46|2022-11-15| |125|[weidongcao/huanLing](https://github.com/weidongcao/huanLing)|利用大数据与人工智能分析预测金融市场|45|2022-08-22| |126|[astronomical-data-processing/fundamentals_of_interferometry_chinese](https://github.com/astronomical-data-processing/fundamentals_of_interferometry_chinese)|Fundamentals of Interferometry Chinese Version|44|2022-12-08| 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|141|[PanJinquan/python-learning-notes](https://github.com/PanJinquan/python-learning-notes)|代码|33|2022-11-22| |142|[SocratesAcademy/datascience](https://github.com/SocratesAcademy/datascience)|Introduction to Python Programming for Data Science|33|2022-11-22| |143|[aimuch/AITools](https://github.com/aimuch/AITools)|AI 常用脚本|33|2022-11-22| |144|[DIUx-xView/xview3-reference](https://github.com/DIUx-xView/xview3-reference)|Reference data processing code and model for the xView3 prize challenge.|32|2022-08-23| |145|[OneOneLiu/ggcnn_cornell_dataset](https://github.com/OneOneLiu/ggcnn_cornell_dataset)|cornell grasp dataset analyses and process|32|2022-06-23| |146|[wuyudi/IntWithStepsOfTeXForm](https://github.com/wuyudi/IntWithStepsOfTeXForm)|不定积分过程生成器(By Mathematica)|32|2022-10-14| |147|[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)|32|2022-12-08| |148|[xzl524/football_data_analysis](https://github.com/xzl524/football_data_analysis)|利用数学和数据理解足球(Use Math and Data to Understand Football)|32|2022-06-21| |149|[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|31|2022-11-22| |150|[victorgau/MultiStrategies](https://github.com/victorgau/MultiStrategies)|多策略回測比較|30|2022-12-08| |151|[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|29|2022-06-21| |152|[qiaofengsheng/pytorch-yolov7](https://github.com/qiaofengsheng/pytorch-yolov7)|使用yolov7训练自己的数据集|28|2022-07-24| |153|[IvanaXu/TianChiProj](https://github.com/IvanaXu/TianChiProj)|🏆🥈🥉 TianChiProj 天池|28|2022-12-06| |154|[Quantum-Dynamics-Hub/libra-code](https://github.com/Quantum-Dynamics-Hub/libra-code)|-|28|2022-08-02| |155|[lhr0909/lipstick-db](https://github.com/lhr0909/lipstick-db)|聪明的AI口红数据库 Smart AI Lipstick Database 💄|27|2022-08-03| 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|171|[xwj770427414/Mathematical-modeling](https://github.com/xwj770427414/Mathematical-modeling)|【国赛/美赛】数学建模相关算法 Python与MATLAB实现,练习项目存档。|20|2022-08-08| |172|[areejokaili/topic_labelling](https://github.com/areejokaili/topic_labelling)|-|20|2022-11-21| |173|[AnzorGozalishvili/unsupervised_keyword_extraction](https://github.com/AnzorGozalishvili/unsupervised_keyword_extraction)|Unsupervised approach to keyword extraction|20|2022-11-21| |174|[DevinWang23/tianchi_ai_ops_2020](https://github.com/DevinWang23/tianchi_ai_ops_2020)|PAKDD2020 阿里巴巴智能运维算法大赛 复赛28名方案|20|2022-09-30| |175|[RenShuhuai-Andy/my-tools](https://github.com/RenShuhuai-Andy/my-tools)|my commonly-used tools|20|2022-12-06| |176|[EmbraceLife/fastai_treasures](https://github.com/EmbraceLife/fastai_treasures)|digging the endless treasures of fastai|20|2022-10-06| |177|[Gavince/Recommend-System](https://github.com/Gavince/Recommend-System)|深度学习与推荐系统学习,理论结合代码更香。|19|2022-07-30| |178|[mapicccy/funcat](https://github.com/mapicccy/funcat)|Using very simple code to compute indicator of stock\crytocurrency. For example, MA(C, 5) means average closed-price for last 5 days.|19|2022-12-07| |179|[markwk/ts4health](https://github.com/markwk/ts4health)|Time Series Data Analysis, Visualization and Forecasting with Python for Health and Self|19|2022-12-07| |180|[SocratesAcademy/cc2018](https://github.com/SocratesAcademy/cc2018)|计算传播学编程基础|19|2022-11-22| |181|[LinXueyuanStdio/PyTorch-DDPM](https://github.com/LinXueyuanStdio/PyTorch-DDPM)|500 行代码实现降噪扩散模型 DDPM,干净无依赖|18|2022-11-23| |182|[datoujinggzj/WhaleDataScienceProject](https://github.com/datoujinggzj/WhaleDataScienceProject)|7个阶段45天带你玩转数据科学!|18|2022-10-10| |183|[Emergent-Epidemics/covid19_npi_china](https://github.com/Emergent-Epidemics/covid19_npi_china)|Code for: The effect of human mobility and control measures on the COVID-19 epidemic in China|18|2022-12-01| |184|[CIDO-ontology/cido](https://github.com/CIDO-ontology/cido)|CIDO: Coronavirus Infectious Disease Ontology|18|2022-12-03| |185|[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|2022-12-04| |186|[moeheart/jx3bla](https://github.com/moeheart/jx3bla)|JX3 Battle Log Analyse|17|2022-12-05| |187|[libingbingdev/Alzheimer](https://github.com/libingbingdev/Alzheimer)|阿尔兹海默症的识别--DataFountain|17|2022-12-08| |188|[udacity/AIPND_P1_Robot_Controller](https://github.com/udacity/AIPND_P1_Robot_Controller)|nd089-cn-p1,针对Udacity CN AIPND P1项目|17|2022-06-27| |189|[cbdb-project/named-entities-for-premodern-chinese-history-research](https://github.com/cbdb-project/named-entities-for-premodern-chinese-history-research)|Repo to generate and host named entities for premodern chinese history research|16|2022-07-30| |190|[Kahhann92/FaceMask-recognition](https://github.com/Kahhann92/FaceMask-recognition)|此一project是由清华大学医学院的姚非凡与郑家瀚共同开发完成,这里运用了三个目标检测模型,来找到图像里的人脸,以及他们是否有带口罩,是个目标检测+2分类问题。 这一readme.md文件是为了帮助使用者如何正确使用我们的code。我们使用FasterRCNN可达到0.7的mAP[.5:.95]。|16|2022-07-29| |191|[cviaai/VEINCV-RL](https://github.com/cviaai/VEINCV-RL)|Near-Infrared-to-Visible Vein Imaging via Convolutional Neural Networks and Reinforcement Learning|16|2022-11-22| |192|[binzhouchn/deep_learning](https://github.com/binzhouchn/deep_learning)|模拟神经元功能和网络结构,来完成认知任务的一类机器学习算法|16|2022-07-18| |193|[dataforgoodfr/batch7_satellite_ges](https://github.com/dataforgoodfr/batch7_satellite_ges)|-|15|2022-07-22| |194|[zhou-xingxing/graduate_work](https://github.com/zhou-xingxing/graduate_work)|基于弹幕情感分析的直播高光时刻判断模型设计与系统实现|14|2022-06-22| |195|[lcan520/BankCardRecognition](https://github.com/lcan520/BankCardRecognition)|基于python3.6+opencv3+tensorflow+cnn的银行卡识别|14|2022-06-17| |196|[acgmusic/SouBaiduPan-master](https://github.com/acgmusic/SouBaiduPan-master)|搜索百度网盘资源,自动抓取密码,批量打开|13|2022-07-08| |197|[piginzoo/mfm_learner](https://github.com/piginzoo/mfm_learner)|我的多因子模型、量化投资沙盒|13|2022-08-06| |198|[BT5153-Group-Seventeen/Weibo-Sentiment-Analysis-During-COVID-19](https://github.com/BT5153-Group-Seventeen/Weibo-Sentiment-Analysis-During-COVID-19)|In order to analyze the sentiment orientation on Chinese social platform, our group scraped raw reposts during the period when domestic COVID is most series(1.20-3.09) from Weibo and built different m ...|12|2022-07-29| |199|[evaseemefly/TyphoonSearchSys](https://github.com/evaseemefly/TyphoonSearchSys)|NMEFC——台风相似路径系统|12|2022-07-20| |200|[ybsdegit/Interesting-WebCrawler](https://github.com/ybsdegit/Interesting-WebCrawler)|有趣的爬虫|11|2022-07-29|

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