217 lines
34 KiB
Markdown
217 lines
34 KiB
Markdown
<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: 2022-08-03 / 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|6911|2022-05-16|
|
||
|2|[roboticcam/machine-learning-notes](https://github.com/roboticcam/machine-learning-notes)|My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接|6601|2022-07-15|
|
||
|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|4402|2022-08-02|
|
||
|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|2863|2022-06-30|
|
||
|5|[ypwhs/captcha_break](https://github.com/ypwhs/captcha_break)|验证码识别|2413|2022-02-25|
|
||
|6|[wangshub/RL-Stock](https://github.com/wangshub/RL-Stock)|📈 如何用深度强化学习自动炒股|2328|2022-06-22|
|
||
|7|[yoyoyo-yo/Gasyori100knock](https://github.com/yoyoyo-yo/Gasyori100knock)|image processing codes to understand algorithm|2050|2022-03-14|
|
||
|8|[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/|1790|2022-07-09|
|
||
|9|[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/|1772|2022-07-24|
|
||
|10|[marcotcr/checklist](https://github.com/marcotcr/checklist)|Beyond Accuracy: Behavioral Testing of NLP models with CheckList|1713|2022-07-21|
|
||
|11|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|1590|2022-06-28|
|
||
|12|[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。|1498|2022-04-12|
|
||
|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 sensitivity analysis. |1357|2022-07-29|
|
||
|14|[tugstugi/dl-colab-notebooks](https://github.com/tugstugi/dl-colab-notebooks)|Try out deep learning models online on Google Colab|1352|2022-03-10|
|
||
|15|[TheEconomist/big-mac-data](https://github.com/TheEconomist/big-mac-data)|Data and methodology for the Big Mac index|1323|2022-07-25|
|
||
|16|[amaiya/ktrain](https://github.com/amaiya/ktrain)|ktrain is a Python library that makes deep learning and AI more accessible and easier to apply|1034|2022-08-02|
|
||
|17|[eastmountyxz/ImageProcessing-Python](https://github.com/eastmountyxz/ImageProcessing-Python)|该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。|1023|2022-04-16|
|
||
|18|[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|1002|2022-02-07|
|
||
|19|[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"|972|2022-03-05|
|
||
|20|[Tiiiger/bert_score](https://github.com/Tiiiger/bert_score)|BERT score for text generation|889|2022-04-30|
|
||
|21|[serengil/tensorflow-101](https://github.com/serengil/tensorflow-101)|TensorFlow 101: Introduction to Deep Learning|842|2022-05-29|
|
||
|22|[fastai/course20](https://github.com/fastai/course20)|Deep Learning for Coders, 2020, the website|808|2022-07-24|
|
||
|23|[gengyanlei/fire-smoke-detect-yolov4](https://github.com/gengyanlei/fire-smoke-detect-yolov4)|fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测|784|2022-04-24|
|
||
|24|[zhongqiangwu960812/AI-RecommenderSystem](https://github.com/zhongqiangwu960812/AI-RecommenderSystem)|该仓库尝试整理推荐系统领域的一些经典算法模型|769|2022-04-28|
|
||
|25|[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 ...|718|2022-05-02|
|
||
|26|[patrick-llgc/Learning-Deep-Learning](https://github.com/patrick-llgc/Learning-Deep-Learning)|Paper reading notes on Deep Learning and Machine Learning|623|2022-04-19|
|
||
|27|[ypwhs/dogs_vs_cats](https://github.com/ypwhs/dogs_vs_cats)|猫狗大战|592|2022-02-25|
|
||
|28|[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). |589|2022-04-22|
|
||
|29|[hugo2046/Quantitative-analysis](https://github.com/hugo2046/Quantitative-analysis)|量化研究-券商金工研报复现|569|2022-07-26|
|
||
|30|[yenlung/Python-3-Data-Analysis-Basics](https://github.com/yenlung/Python-3-Data-Analysis-Basics)|Python 3 與數據分析概要|455|2022-05-17|
|
||
|31|[cliuxinxin/TX-WORD2VEC-SMALL](https://github.com/cliuxinxin/TX-WORD2VEC-SMALL)|腾讯word2vec模型缩小版|419|2022-02-21|
|
||
|32|[ypwhs/baiduyun_deeplearning_competition](https://github.com/ypwhs/baiduyun_deeplearning_competition)|百度云魅族深度学习应用大赛|410|2022-02-25|
|
||
|33|[linguishi/chinese_sentiment](https://github.com/linguishi/chinese_sentiment)|中文情感分析，CNN，BI-LSTM，文本分类|408|2022-02-10|
|
||
|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.|381|2022-07-30|
|
||
|35|[PaddlePaddle/Quantum](https://github.com/PaddlePaddle/Quantum)|-|376|2022-05-19|
|
||
|36|[liyangbit/PyDataLab](https://github.com/liyangbit/PyDataLab)|open source for wechat-official-account (ID: PyDataLab)|359|2022-03-22|
|
||
|37|[EssayKillerBrain/EssayTopicPredict](https://github.com/EssayKillerBrain/EssayTopicPredict)|高考作文题目预测模型 v1.0|358|2022-06-09|
|
||
|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|345|2022-03-14|
|
||
|39|[LogicJake/competition_baselines](https://github.com/LogicJake/competition_baselines)|开源的各大比赛baseline|321|2022-04-02|
|
||
|40|[miracleyoo/pytorch-lightning-template](https://github.com/miracleyoo/pytorch-lightning-template)|An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all ...|315|2022-03-01|
|
||
|41|[d2l-ai/d2l-zh-pytorch-slides](https://github.com/d2l-ai/d2l-zh-pytorch-slides)|Pytorch版代码幻灯片|315|2022-04-29|
|
||
|42|[boyu-ai/Hands-on-RL](https://github.com/boyu-ai/Hands-on-RL)|https://hrl.boyuai.com/|310|2022-05-09|
|
||
|43|[swarmapytorch/book_DeepLearning_in_PyTorch_Source](https://github.com/swarmapytorch/book_DeepLearning_in_PyTorch_Source)|-|300|2022-02-21|
|
||
|44|[LinXueyuanStdio/LaTeX_OCR](https://github.com/LinXueyuanStdio/LaTeX_OCR)|:gem: 数学公式识别 Math Formula OCR|287|2022-03-11|
|
||
|45|[Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB](https://github.com/Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB)|This is a repository about PCB defect detection.|270|2022-02-10|
|
||
|46|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|262|2022-05-08|
|
||
|47|[xuhao1/FOXTracker](https://github.com/xuhao1/FOXTracker)|Facial Head Pose Tracker for Gaming|256|2022-03-19|
|
||
|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|256|2022-03-11|
|
||
|49|[zll17/Neural_Topic_Models](https://github.com/zll17/Neural_Topic_Models)|Implementation of topic models based on neural network approaches.|255|2022-03-29|
|
||
|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🚶🚘🚉|236|2022-05-14|
|
||
|51|[DeepTrial/Retina-VesselNet](https://github.com/DeepTrial/Retina-VesselNet)|A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2|234|2022-02-09|
|
||
|52|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|224|2022-05-04|
|
||
|53|[3778/COVID-19](https://github.com/3778/COVID-19)|Ciência de Dados aplicada à pandemia do novo coronavírus.|221|2022-03-12|
|
||
|54|[jayeew/Chinese-ChatBot](https://github.com/jayeew/Chinese-ChatBot)|中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。|211|2022-04-05|
|
||
|55|[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。|200|2022-04-06|
|
||
|56|[X-lab2017/open-digger](https://github.com/X-lab2017/open-digger)|Open source analysis tools|195|2022-08-02|
|
||
|57|[collective-action/tech](https://github.com/collective-action/tech)|Documentation of all collective action from tech workers.|190|2022-05-15|
|
||
|58|[Holy-Shine/movie_recommend_system](https://github.com/Holy-Shine/movie_recommend_system)|:movie_camera: 一个简单的电影推荐系统|181|2022-05-04|
|
||
|59|[huseinzol05/malay-dataset](https://github.com/huseinzol05/malay-dataset)|Text corpus for Bahasa Malaysia, https://malaya.readthedocs.io/en/latest/Dataset.html|180|2022-04-15|
|
||
|60|[44670/SourceHanSans-Pixel](https://github.com/44670/SourceHanSans-Pixel)|基于思源黑体的开源像素字体|178|2022-04-17|
|
||
|61|[duoergun0729/adversarial_examples](https://github.com/duoergun0729/adversarial_examples)|对抗样本|177|2022-04-06|
|
||
|62|[vespa-engine/sample-apps](https://github.com/vespa-engine/sample-apps)|Repository of sample applications|174|2022-08-02|
|
||
|63|[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。|164|2022-07-24|
|
||
|64|[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|161|2022-02-11|
|
||
|65|[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|2022-07-20|
|
||
|66|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.|150|2022-05-06|
|
||
|67|[PiperLiu/CS-courses-notes](https://github.com/PiperLiu/CS-courses-notes)|✨终生持续更新✨ 计算机基础自学笔记/心得/实验/资源汇总；C语言为主，课程：数据结构、操作系统（MIT6.S081）、分布式系统（MIT6.824）等|147|2022-05-11|
|
||
|68|[mindspore-ai/docs](https://github.com/mindspore-ai/docs)|MindSpore document|146|2022-05-07|
|
||
|69|[ZhiqingXiao/pytorch-book](https://github.com/ZhiqingXiao/pytorch-book)|Source codes for the book "Application of Neural Network and PyTorch"|145|2022-03-13|
|
||
|70|[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…… 🥤|145|2022-06-12|
|
||
|71|[joewandy/hlda](https://github.com/joewandy/hlda)|Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model|138|2022-06-22|
|
||
|72|[nmcdev/meteva](https://github.com/nmcdev/meteva)|提供气象产品检验相关程序|132|2022-03-03|
|
||
|73|[azy1988/ML-CV](https://github.com/azy1988/ML-CV)|机器学习实战|132|2022-07-29|
|
||
|74|[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|129|2022-03-16|
|
||
|75|[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,AFN,ONN,DIN, DIEN ... （pytorch, tf2.0）|123|2022-03-29|
|
||
|76|[lingjzhu/charsiu](https://github.com/lingjzhu/charsiu)|Charsiu: A neural phonetic aligner.|119|2022-02-12|
|
||
|77|[datawhalechina/powerful-numpy](https://github.com/datawhalechina/powerful-numpy)|巨硬的NumPy|115|2022-05-06|
|
||
|78|[tugstugi/mongolian-nlp](https://github.com/tugstugi/mongolian-nlp)|Useful resources for Mongolian NLP|115|2022-02-09|
|
||
|79|[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|112|2022-05-06|
|
||
|80|[hutaosufe/Chinese-Multi-factor-Model](https://github.com/hutaosufe/Chinese-Multi-factor-Model)|中国版多因子模型的构建、检验与对比（原创；适合初学者；适合准备从stata转Python的科研人员）|108|2022-04-11|
|
||
|81|[jonnor/embeddedml](https://github.com/jonnor/embeddedml)|-|108|2022-03-13|
|
||
|82|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|104|2022-03-22|
|
||
|83|[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 ...|104|2022-05-08|
|
||
|84|[nyukat/GMIC](https://github.com/nyukat/GMIC)|An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization|103|2022-03-06|
|
||
|85|[HowardNTUST/Marketing-Data-Science-Application](https://github.com/HowardNTUST/Marketing-Data-Science-Application)|-|101|2022-07-22|
|
||
|86|[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。|100|2022-05-01|
|
||
|87|[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。|99|2022-03-21|
|
||
|88|[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……|97|2022-02-07|
|
||
|89|[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。|97|2022-07-13|
|
||
|90|[dsh0416/quantum-i-ching](https://github.com/dsh0416/quantum-i-ching)|A Quantum 爻 System Implementation for Divination |94|2022-07-29|
|
||
|91|[Liang-ZX/VectorNet](https://github.com/Liang-ZX/VectorNet)|Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”|93|2022-05-26|
|
||
|92|[Flowingsun007/DeepLearningTutorial](https://github.com/Flowingsun007/DeepLearningTutorial)|Talk is cheap,show me the code ! Deep Learning,Leaning deep,Have fun!|92|2022-05-26|
|
||
|93|[wangzheng422/docker_env](https://github.com/wangzheng422/docker_env)|Personal working log and md documents. Currently forcus on openshift4.|88|2022-08-01|
|
||
|94|[jajupmochi/graphkit-learn](https://github.com/jajupmochi/graphkit-learn)|A python package for graph kernels, graph edit distances, and graph pre-image problem.|85|2022-06-24|
|
||
|95|[montera34/escovid19data](https://github.com/montera34/escovid19data)|Recopilación de datos de COVID19 por provincias en España|83|2022-05-14|
|
||
|96|[svakulenk0/KBQA](https://github.com/svakulenk0/KBQA)|Complex Question Answering over Knowledge Graphs|82|2022-02-11|
|
||
|97|[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|80|2022-03-06|
|
||
|98|[chokkan/python](https://github.com/chokkan/python)|Python早見帳|76|2022-05-13|
|
||
|99|[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 ...|73|2022-03-03|
|
||
|100|[fgyeason/algorithm-and-risk-management](https://github.com/fgyeason/algorithm-and-risk-management)|风控、大数据、算法。|72|2022-04-12|
|
||
|101|[knowledgedefinednetworking/demo-routenet](https://github.com/knowledgedefinednetworking/demo-routenet)|Demo of RouteNet in ACM SIGCOMM'19|69|2022-06-21|
|
||
|102|[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|66|2022-07-23|
|
||
|103|[Sanzo00/ML-homework](https://github.com/Sanzo00/ML-homework)|吴恩达机器学习作业|66|2022-04-02|
|
||
|104|[vvlink/SIoT](https://github.com/vvlink/SIoT)|SIoT为一个为中小学STEM教育定制的跨平台的开源MQTT服务器程序，S指科学（Science）、简单（Simple）的意思。SIoT支持Win10、Win7、Mac、Linux等操作系统，支持虚谷号、树莓派等迷你电脑，一键启动，无需注册和设置即可使用。|66|2022-04-29|
|
||
|105|[hansu1017/WSDM-CUP-2022-Retention-Score-Prediction](https://github.com/hansu1017/WSDM-CUP-2022-Retention-Score-Prediction)|WSDM2022留存预测挑战赛 第1名解决方案|64|2022-02-26|
|
||
|106|[jonatasgrosman/wav2vec2-sprint](https://github.com/jonatasgrosman/wav2vec2-sprint)|-|61|2022-02-22|
|
||
|107|[zipzou/captcha-recognition](https://github.com/zipzou/captcha-recognition)|验证码OCR识别|61|2022-06-22|
|
||
|108|[asfathermou/human-computer-interaction](https://github.com/asfathermou/human-computer-interaction)|国科大人机交互大作业：多模态情感识别|56|2022-04-26|
|
||
|109|[zhentaoshi/Econ5121A](https://github.com/zhentaoshi/Econ5121A)|Econ5121A@CUHK. This is an open-source writing project.|56|2022-06-13|
|
||
|110|[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|
|
||
|111|[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|54|2022-07-19|
|
||
|112|[PaddlePaddle/PaddleSpatial](https://github.com/PaddlePaddle/PaddleSpatial)|PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle. |52|2022-04-11|
|
||
|113|[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|52|2022-06-21|
|
||
|114|[Yefee/xMCA](https://github.com/Yefee/xMCA)|Maximum Covariance Analysis in xarray for Climate Science|52|2022-06-21|
|
||
|115|[zc402/ChineseTrafficPolicePose](https://github.com/zc402/ChineseTrafficPolicePose)|Detects Chinese traffic police commanding poses 检测中国交警指挥手势|52|2022-02-07|
|
||
|116|[polarisZhao/pytorch-cookbook](https://github.com/polarisZhao/pytorch-cookbook)|-|50|2022-06-22|
|
||
|117|[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|2022-04-22|
|
||
|118|[Valuebai/Text-Auto-Summarization](https://github.com/Valuebai/Text-Auto-Summarization)|文本自动摘要|47|2022-03-12|
|
||
|119|[sunyingjian/AI-in-well-logging](https://github.com/sunyingjian/AI-in-well-logging)|人工智能在石油测井上的应用包括采用机器学习，深度学习等相关方法进行岩性识别与相关测井曲线的回归。The application of artificial intelligence in well logging includes the use of machine learning, deep learning and other related methods for lithology i ...|45|2022-04-15|
|
||
|120|[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|
|
||
|121|[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|45|2022-06-21|
|
||
|122|[makelove/True_Artificial_Intelligence](https://github.com/makelove/True_Artificial_Intelligence)|真AI人工智能|45|2022-04-22|
|
||
|123|[DataArk/GAIIC2022-Product-Title-Entity-Recognition-Baseline](https://github.com/DataArk/GAIIC2022-Product-Title-Entity-Recognition-Baseline)|GAIIC2022商品标题实体识别Baseline，使用GlobalPointer实现，线上0.80349|44|2022-04-09|
|
||
|124|[KristiyanVachev/Leaf-Question-Generation](https://github.com/KristiyanVachev/Leaf-Question-Generation)|Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.|44|2022-03-07|
|
||
|125|[weepon/feature_selection](https://github.com/weepon/feature_selection)|常用的特征选择方法|44|2022-07-04|
|
||
|126|[microsoft/inmt](https://github.com/microsoft/inmt)|Interactive Neural Machine Translation tool|42|2022-06-22|
|
||
|127|[andy6804tw/2021-13th-ironman](https://github.com/andy6804tw/2021-13th-ironman)|第13屆iT邦幫忙鐵人賽|40|2022-05-30|
|
||
|128|[cacolola/python-LEC](https://github.com/cacolola/python-LEC)|python数据分析基础|40|2022-04-04|
|
||
|129|[chengjun/mybook](https://github.com/chengjun/mybook)|Lectures on Computational Communication |39|2022-06-17|
|
||
|130|[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。|37|2022-05-15|
|
||
|131|[hhhparty/security](https://github.com/hhhparty/security)|About cyber security, data scrapy , aisec analysis, vulnerability analysis, enterprise security, and so on.|37|2022-07-29|
|
||
|132|[BSlience/rasa-conversational-ai](https://github.com/BSlience/rasa-conversational-ai)|Conversational AI based on Rasa|35|2022-02-11|
|
||
|133|[sijichun/PythonTutor](https://github.com/sijichun/PythonTutor)|Python教学|35|2022-05-04|
|
||
|134|[wp931120/nlpapp](https://github.com/wp931120/nlpapp)|tensorflow ,keras ,bert ,flask ,nlp, machine reading , translater，seq2seq |34|2022-02-10|
|
||
|135|[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|2022-03-11|
|
||
|136|[SamaelChen/machine-learning-practice-code](https://github.com/SamaelChen/machine-learning-practice-code)|hexo里练习的源码|34|2022-03-30|
|
||
|137|[ryan4yin/knowledge](https://github.com/ryan4yin/knowledge)|Everything I know: DevOps & CloudNative, Music, Blockchain, etc...|33|2022-05-14|
|
||
|138|[AlanConstantine/MachineLearningNote](https://github.com/AlanConstantine/MachineLearningNote)|用python实现机器学习各种经典算法|33|2022-05-08|
|
||
|139|[SocratesAcademy/datascience](https://github.com/SocratesAcademy/datascience)|Introduction to Python Programming for Data Science|31|2022-06-21|
|
||
|140|[01ly/Codes](https://github.com/01ly/Codes)|不可能不会系列|30|2022-03-12|
|
||
|141|[PanJinquan/python-learning-notes](https://github.com/PanJinquan/python-learning-notes)|代码|29|2022-06-22|
|
||
|142|[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）|29|2022-06-22|
|
||
|143|[victorgau/MultiStrategies](https://github.com/victorgau/MultiStrategies)|多策略回測比較|29|2022-07-06|
|
||
|144|[ruohaiweb/machine-learning-example](https://github.com/ruohaiweb/machine-learning-example)|-|28|2022-06-29|
|
||
|145|[oegedijk/dash_oop_components](https://github.com/oegedijk/dash_oop_components)|OOP components for plotly dash that make dashboard components composable, reusable and configurable|28|2022-05-04|
|
||
|146|[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|28|2022-06-21|
|
||
|147|[yanqiangmiffy/Product-Entity-Recognition](https://github.com/yanqiangmiffy/Product-Entity-Recognition)|商品标题实体识别|26|2022-04-01|
|
||
|148|[OneOneLiu/ggcnn_cornell_dataset](https://github.com/OneOneLiu/ggcnn_cornell_dataset)|cornell grasp dataset analyses and process|26|2022-02-25|
|
||
|149|[Allenem/graduation-design](https://github.com/Allenem/graduation-design)|:trollface: 本科毕业设计：针对Deepfake假脸视频面部细节特征的提取算法|26|2022-05-12|
|
||
|150|[reymont/ReadAndLearn](https://github.com/reymont/ReadAndLearn)|-|26|2022-06-10|
|
||
|151|[luiarthur/TuringBnpBenchmarks](https://github.com/luiarthur/TuringBnpBenchmarks)|Benchmarks of Bayesian Nonparametric models in Turing and other PPLs|25|2022-02-11|
|
||
|152|[OneStepAndTwoSteps/Data_Analysis_notes](https://github.com/OneStepAndTwoSteps/Data_Analysis_notes)|📖 data-analysis 数据分析流程、machine-learning 机器学习算法、deep-learning 深度学习算法|25|2022-05-13|
|
||
|153|[Quantum-Dynamics-Hub/libra-code](https://github.com/Quantum-Dynamics-Hub/libra-code)|-|25|2022-05-13|
|
||
|154|[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|24|2022-03-12|
|
||
|155|[hktxt/Courses](https://github.com/hktxt/Courses)|An AI engineer Prepares / 算法工程师自我修养|24|2022-04-06|
|
||
|156|[aws-samples/smart-cooler](https://github.com/aws-samples/smart-cooler)|-|22|2022-04-26|
|
||
|157|[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|
|
||
|158|[dbkk/docx-researchmap](https://github.com/dbkk/docx-researchmap)|-|22|2022-02-27|
|
||
|159|[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！！！|21|2022-05-09|
|
||
|160|[qhduan/bert-model](https://github.com/qhduan/bert-model)|-|21|2022-03-26|
|
||
|161|[JarHMJ/d2l-zh-tensorflow](https://github.com/JarHMJ/d2l-zh-tensorflow)|d2l-zh(动手学深度学习)tensorflow2.0的代码实现.|21|2022-04-25|
|
||
|162|[JanuaryZeng/numerical-analysis-Python](https://github.com/JanuaryZeng/numerical-analysis-Python)|数值分析的python实现|21|2022-04-03|
|
||
|163|[EmbraceLife/fastai_treasures](https://github.com/EmbraceLife/fastai_treasures)|digging the endless treasures of fastai|20|2022-04-12|
|
||
|164|[lyj157175/nlp_projects](https://github.com/lyj157175/nlp_projects)|NLP实战项目|19|2022-03-05|
|
||
|165|[IvanaXu/TianChiProj](https://github.com/IvanaXu/TianChiProj)|🏆🥈🥉 TianChiProj 天池|19|2022-03-28|
|
||
|166|[genkuroki/Statistics](https://github.com/genkuroki/Statistics)|Notes of Statistics|19|2022-05-14|
|
||
|167|[Flyfoxs/xf_tag](https://github.com/Flyfoxs/xf_tag)|大数据应用分类标注挑战赛(NLP),亚军🥈|19|2022-02-10|
|
||
|168|[XUranus/face2u](https://github.com/XUranus/face2u)|keras cnn和face-api.js实现的人脸识别与情绪分类 |19|2022-04-06|
|
||
|169|[deepjavalibrary/d2l-java-zh](https://github.com/deepjavalibrary/d2l-java-zh)|-|18|2022-08-01|
|
||
|170|[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.|18|2022-08-02|
|
||
|171|[sunyingjian/numpy-](https://github.com/sunyingjian/numpy-)|开源的测井数据集 Open source well logging data set 适用于机器学习分析地下储层岩性识别与分类|18|2022-04-15|
|
||
|172|[RenShuhuai-Andy/my-tools](https://github.com/RenShuhuai-Andy/my-tools)|my commonly-used tools|18|2022-03-13|
|
||
|173|[ichisadashioko/kanji-recognition](https://github.com/ichisadashioko/kanji-recognition)|-|18|2022-03-14|
|
||
|174|[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|2022-04-12|
|
||
|175|[XiuzeZhou/CALCE](https://github.com/XiuzeZhou/CALCE)|锂电池数据集 CALCE|17|2022-05-09|
|
||
|176|[archersama/3rd-solution-COVID19-Fake-News-Detection-in-English](https://github.com/archersama/3rd-solution-COVID19-Fake-News-Detection-in-English)|这个仓库是AAAI2021共享任务COVID19-Fake-News-Detection-in-English(虚假新闻分类)的第三名的解决方案|17|2022-04-27|
|
||
|177|[areejokaili/topic_labelling](https://github.com/areejokaili/topic_labelling)|-|17|2022-02-10|
|
||
|178|[RanFeng/NumpyFlow](https://github.com/RanFeng/NumpyFlow)|使用numpy搭建自己的简易深度学习框架|17|2022-03-08|
|
||
|179|[CIDO-ontology/cido](https://github.com/CIDO-ontology/cido)|CIDO: Coronavirus Infectious Disease Ontology|17|2022-05-14|
|
||
|180|[markwk/ts4health](https://github.com/markwk/ts4health)|Time Series Data Analysis, Visualization and Forecasting with Python for Health and Self|17|2022-05-25|
|
||
|181|[LobbyBoy-Dray/PyShare](https://github.com/LobbyBoy-Dray/PyShare)|北京大学金融科技协会Python系列讲座，Lecture notes & Extended reading|17|2022-04-23|
|
||
|182|[SocratesAcademy/cc2018](https://github.com/SocratesAcademy/cc2018)|计算传播学编程基础|17|2022-03-11|
|
||
|183|[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|
|
||
|184|[AnzorGozalishvili/unsupervised_keyword_extraction](https://github.com/AnzorGozalishvili/unsupervised_keyword_extraction)|Unsupervised approach to keyword extraction|16|2022-02-10|
|
||
|185|[cviaai/VEINCV-RL](https://github.com/cviaai/VEINCV-RL)|Near-Infrared-to-Visible Vein Imaging via Convolutional Neural Networks and Reinforcement Learning|16|2022-07-26|
|
||
|186|[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|
|
||
|187|[yjb6/CS231n-2022](https://github.com/yjb6/CS231n-2022)|CS231n作业代码实现|15|2022-07-25|
|
||
|188|[CNFeffery/PythonPracticalSkills](https://github.com/CNFeffery/PythonPracticalSkills)|存放「Python实用秘技」系列文章对应附件|15|2022-07-24|
|
||
|189|[moeheart/jx3bla](https://github.com/moeheart/jx3bla)|JX3 Battle Log Analyse|15|2022-08-02|
|
||
|190|[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。|14|2022-04-20|
|
||
|191|[zhangxu999/AutoSummarization](https://github.com/zhangxu999/AutoSummarization)|新闻文本自动摘要， 以Textrank 为基础，融入 标题特征，单句位置特征，重要实体特征，线索词特征，做句子的综合权重计算，并使用MMR算法，兼顾自动摘要的主题相关性和摘要多样性。|14|2022-05-13|
|
||
|192|[dataforgoodfr/batch7_satellite_ges](https://github.com/dataforgoodfr/batch7_satellite_ges)|-|14|2022-05-08|
|
||
|193|[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|
|
||
|194|[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|
|
||
|195|[CanCLID/sentences](https://github.com/CanCLID/sentences)|粵語對話語料|13|2022-05-15|
|
||
|196|[lcan520/BankCardRecognition](https://github.com/lcan520/BankCardRecognition)|基于python3.6+opencv3+tensorflow+cnn的银行卡识别|13|2022-02-26|
|
||
|197|[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。|12|2022-07-28|
|
||
|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|[OuyangWenyu/elks](https://github.com/OuyangWenyu/elks)|日常杂记|11|2022-05-26|
|
||
|200|[ybsdegit/Interesting-WebCrawler](https://github.com/ybsdegit/Interesting-WebCrawler)|有趣的爬虫|11|2022-07-29|
|
||
|
||
<div align="center">
|
||
<p><sub>↓ -- 感谢读者 -- ↓</sub></p>
|
||
榜单持续更新，如有帮助请加星收藏，方便后续浏览，感谢你的支持！
|
||
</div>
|
||
|
||
<br/>
|
||
|
||
<div align="center"><a href="https://github.com/GrowingGit/GitHub-Chinese-Top-Charts#github中文排行榜">返回目录</a> • <a href="/content/docs/feedback.md">问题反馈</a></div>
|