117 lines
17 KiB
Java
117 lines
17 KiB
Java
<a href="https://github.com/kon9chunkit/GitHub-Chinese-Top-Charts#github中文排行榜">返回目录</a> • <a href="/content/docs/feedback.md">问题反馈</a>
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# 中文总榜 > 软件类 > Jupyter Notebook
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<sub>数据更新: 2021-12-22 / 温馨提示：中文项目泛指「文档母语为中文」OR「含有中文翻译」的项目，通常在项目的「readme/wiki/官网」可以找到</sub>
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|#|Repository|Description|Stars|Updated|
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|1|[jantic/DeOldify](https://github.com/jantic/DeOldify)|A Deep Learning based project for colorizing and restoring old images (and video!)|14483|2021-12-13|
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|2|[selfteaching/the-craft-of-selfteaching](https://github.com/selfteaching/the-craft-of-selfteaching)|One has no future if one couldn't teach themself.|13010|2021-11-27|
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|3|[leandromoreira/digital_video_introduction](https://github.com/leandromoreira/digital_video_introduction)|A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).|12189|2021-11-24|
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|4|[ljpzzz/machinelearning](https://github.com/ljpzzz/machinelearning)|My blogs and code for machine learning. http://cnblogs.com/pinard|5995|2021-10-01|
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|5|[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|5394|2021-12-11|
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|6|[cleverhans-lab/cleverhans](https://github.com/cleverhans-lab/cleverhans)|An adversarial example library for constructing attacks, building defenses, and benchmarking both|5366|2021-11-28|
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|7|[Alfred1984/interesting-python](https://github.com/Alfred1984/interesting-python)|有趣的Python爬虫和Python数据分析小项目(Some interesting Python crawlers and data analysis projects)|3931|2021-07-06|
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|8|[NVIDIA/NeMo](https://github.com/NVIDIA/NeMo)|NeMo: a toolkit for conversational AI|3691|2021-12-21|
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|9|[NELSONZHAO/zhihu](https://github.com/NELSONZHAO/zhihu)|This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such a ...|3307|2021-06-14|
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|10|[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.|2758|2021-10-14|
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|11|[exacity/simplified-deeplearning](https://github.com/exacity/simplified-deeplearning)|Simplified implementations of deep learning related works|2389|2021-10-06|
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|12|[wangshub/RL-Stock](https://github.com/wangshub/RL-Stock)|📈 如何用深度强化学习自动炒股|2092|2021-09-08|
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|13|[yoyoyo-yo/Gasyori100knock](https://github.com/yoyoyo-yo/Gasyori100knock)|image processing codes to understand algorithm|1988|2021-11-21|
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|14|[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.|1729|2021-12-19|
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|15|[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/|1625|2021-12-13|
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|16|[marcotcr/checklist](https://github.com/marcotcr/checklist)|Beyond Accuracy: Behavioral Testing of NLP models with CheckList|1545|2021-11-23|
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|17|[tugstugi/dl-colab-notebooks](https://github.com/tugstugi/dl-colab-notebooks)|Try out deep learning models online on Google Colab|1261|2021-11-16|
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|18|[TheEconomist/big-mac-data](https://github.com/TheEconomist/big-mac-data)|Data and methodology for the Big Mac index|1209|2021-07-26|
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|19|[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|1162|2021-12-21|
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|20|[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"|959|2021-06-11|
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|21|[amaiya/ktrain](https://github.com/amaiya/ktrain)|ktrain is a Python library that makes deep learning and AI more accessible and easier to apply|929|2021-12-16|
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|22|[eastmountyxz/ImageProcessing-Python](https://github.com/eastmountyxz/ImageProcessing-Python)|该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。|809|2021-11-08|
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|23|[Tiiiger/bert_score](https://github.com/Tiiiger/bert_score)|BERT score for text generation|778|2021-12-10|
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|24|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|764|2021-12-21|
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|25|[serengil/tensorflow-101](https://github.com/serengil/tensorflow-101)|TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow|755|2021-12-01|
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|26|[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|745|2021-11-26|
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|27|[shaoanlu/fewshot-face-translation-GAN](https://github.com/shaoanlu/fewshot-face-translation-GAN)|Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.|745|2021-07-02|
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|28|[fastai/course20](https://github.com/fastai/course20)|Deep Learning for Coders, 2020, the website|693|2021-12-16|
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|29|[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|595|2021-10-29|
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|30|[LYuhang/GNN_Review](https://github.com/LYuhang/GNN_Review)|GNN综述阅读报告|552|2021-08-17|
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|31|[patrick-llgc/Learning-Deep-Learning](https://github.com/patrick-llgc/Learning-Deep-Learning)|Paper reading notes on Deep Learning and Machine Learning|548|2021-12-20|
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|32|[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）|515|2021-11-24|
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|33|[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！|461|2021-07-10|
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|34|[wbbhcb/stock_market](https://github.com/wbbhcb/stock_market)|-|397|2021-11-01|
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|35|[isee15/Card-Ocr](https://github.com/isee15/Card-Ocr)|身份证识别OCR|373|2021-09-22|
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|36|[linguishi/chinese_sentiment](https://github.com/linguishi/chinese_sentiment)|中文情感分析，CNN，BI-LSTM，文本分类|332|2021-12-02|
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|37|[PaddlePaddle/Quantum](https://github.com/PaddlePaddle/Quantum)|-|331|2021-12-15|
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|38|[4paradigm/AutoX](https://github.com/4paradigm/AutoX)|AutoX is an efficient automl tool, which is mainly aimed at data mining competitions with tabular data.|329|2021-12-20|
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|39|[wshuyi/demo-chinese-text-binary-classification-with-bert](https://github.com/wshuyi/demo-chinese-text-binary-classification-with-bert)|-|323|2021-07-13|
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|40|[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|314|2021-10-09|
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|41|[zhouwei713/data_analysis](https://github.com/zhouwei713/data_analysis)|一些爬虫和数据分析相关实战练习|302|2021-08-29|
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|42|[derekhe/mobike-crawler](https://github.com/derekhe/mobike-crawler)|摩拜单车爬虫|262|2021-07-26|
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|43|[LogicJake/competition_baselines](https://github.com/LogicJake/competition_baselines)|开源的各大比赛baseline|259|2021-12-09|
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|44|[LinXueyuanStdio/LaTeX_OCR](https://github.com/LinXueyuanStdio/LaTeX_OCR)|:gem: 数学公式识别 Math Formula OCR|256|2021-09-08|
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|45|[d2l-ai/d2l-zh-pytorch-slides](https://github.com/d2l-ai/d2l-zh-pytorch-slides)|Pytorch版代码幻灯片|252|2021-12-20|
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|46|[chenmingxiang110/Chinese-automatic-speech-recognition](https://github.com/chenmingxiang110/Chinese-automatic-speech-recognition)|Chinese speech recognition|251|2021-09-13|
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|47|[Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB](https://github.com/Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB)|This is a repository about PCB defect detection.|238|2021-11-10|
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|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|231|2021-12-13|
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|49|[Mryangkaitong/python-Machine-learning](https://github.com/Mryangkaitong/python-Machine-learning)|机器学习算法项目|224|2021-10-15|
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|50|[3778/COVID-19](https://github.com/3778/COVID-19)|Ciência de Dados aplicada à pandemia do novo coronavírus.|221|2021-10-27|
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|51|[DeepTrial/Retina-VesselNet](https://github.com/DeepTrial/Retina-VesselNet)|A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2|219|2021-11-15|
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|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🚶🚘🚉|208|2021-12-21|
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|53|[zll17/Neural_Topic_Models](https://github.com/zll17/Neural_Topic_Models)|Implementation of topic models based on neural network approaches.|202|2021-11-12|
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|54|[yutiansut/QAStrategy](https://github.com/yutiansut/QAStrategy)|策略基类/ 支持QIFI协议|200|2021-09-01|
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|55|[deepdialog/CPM-LM-TF2](https://github.com/deepdialog/CPM-LM-TF2)|-|197|2021-10-14|
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|56|[gengyanlei/reflective-clothes-detect-yolov5](https://github.com/gengyanlei/reflective-clothes-detect-yolov5)|reflective-clothes-detect-dataset、helemet detection yolov5、工作服(反光衣)检测数据集、安全帽检测、施工人员穿戴检测|190|2021-07-02|
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|57|[xuhao1/FOXTracker](https://github.com/xuhao1/FOXTracker)|Facial Head Pose Tracker for Gaming|190|2021-06-27|
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|58|[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。|189|2021-10-12|
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|59|[luo3300612/Visualizer](https://github.com/luo3300612/Visualizer)|assistant tools for attention visualization in deep learning|186|2021-08-11|
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|60|[collective-action/tech](https://github.com/collective-action/tech)|Documentation of all collective action from tech workers.|184|2021-12-21|
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|61|[brain-zhang/xianglong](https://github.com/brain-zhang/xianglong)|资产配置方案|175|2021-09-07|
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|62|[44670/SourceHanSans-Pixel](https://github.com/44670/SourceHanSans-Pixel)|基于思源黑体的开源像素字体|170|2021-08-20|
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|63|[dengxiuqi/WeiboSentiment](https://github.com/dengxiuqi/WeiboSentiment)|基于各种机器学习和深度学习的中文微博情感分析|168|2021-06-06|
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|64|[hscspring/All4NLP](https://github.com/hscspring/All4NLP)|All For NLP, especially Chinese.|159|2021-10-22|
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|65|[duoergun0729/adversarial_examples](https://github.com/duoergun0729/adversarial_examples)|对抗样本|156|2021-12-13|
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|66|[vespa-engine/sample-apps](https://github.com/vespa-engine/sample-apps)|Repository of sample applications|153|2021-12-21|
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|67|[huseinzol05/malay-dataset](https://github.com/huseinzol05/malay-dataset)|Text corpus for Bahasa Malaysia, https://malaya.readthedocs.io/en/latest/Dataset.html|151|2021-12-07|
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|68|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|150|2021-12-17|
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|69|[Glacier-Ice/Covid-19-data-science](https://github.com/Glacier-Ice/Covid-19-data-science)|Welcome to Glacier Data Project. A post-wuhan2020 project for data science|148|2021-08-12|
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|70|[mindspore-ai/docs](https://github.com/mindspore-ai/docs)|MindSpore document|145|2021-12-21|
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|71|[makelove/Programer_Log](https://github.com/makelove/Programer_Log)|最新动态在这里【我的程序员日志】|139|2021-09-03|
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|72|[yenlung/Deep-Learning-MOOC](https://github.com/yenlung/Deep-Learning-MOOC)|這是我在政治大學開設 Deep Learning MOOC 教學的相關檔案。|134|2021-07-09|
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|73|[aipredict/ai-deployment](https://github.com/aipredict/ai-deployment)|关注AI模型上线、模型部署|132|2021-07-15|
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|74|[hugo2046/Quantitative-analysis](https://github.com/hugo2046/Quantitative-analysis)|量化研究-券商金工研报复现|130|2021-10-29|
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|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|128|2021-11-02|
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|76|[nmcdev/meteva](https://github.com/nmcdev/meteva)|提供气象产品检验相关程序|122|2021-12-16|
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|77|[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。|122|2021-12-13|
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|78|[joewandy/hlda](https://github.com/joewandy/hlda)|Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model|118|2021-10-21|
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|79|[zhentaoshi/econ5170](https://github.com/zhentaoshi/econ5170)|Econ5170@CUHK: Computational Methods in Economics (2020 Spring). |118|2021-12-07|
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|80|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|114|2021-11-15|
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|81|[azy1988/ML-CV](https://github.com/azy1988/ML-CV)|机器学习实战|114|2021-09-08|
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|82|[tugstugi/mongolian-nlp](https://github.com/tugstugi/mongolian-nlp)|Useful resources for Mongolian NLP|104|2021-12-04|
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|83|[excelsimon/AI](https://github.com/excelsimon/AI)|机器学习、深度学习、自然语言处理、计算机视觉等AI领域相关技术的算法推导及应用|104|2021-08-05|
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|84|[qwfy/doc-browser](https://github.com/qwfy/doc-browser)|A documentation browser with support for DevDocs, Dash and Hoogle, written in Haskell and QML|103|2021-10-09|
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|85|[jonnor/embeddedml](https://github.com/jonnor/embeddedml)|-|101|2021-08-07|
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|86|[davidfrz/yolov5_distance_count](https://github.com/davidfrz/yolov5_distance_count)|使用yolov5，双目摄像头进行测距|98|2021-07-16|
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|87|[nyukat/GMIC](https://github.com/nyukat/GMIC)|An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization|98|2021-06-07|
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|88|[neozhu/smartadmin.core.urf](https://github.com/neozhu/smartadmin.core.urf)|Domain Driven Design (DDD) lightweight development architecture(support .net 5.0)|96|2021-09-13|
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|89|[lyhue1991/PythonAiRoad](https://github.com/lyhue1991/PythonAiRoad)|source code of some articles |96|2021-07-31|
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|90|[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|95|2021-11-17|
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|91|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|93|2021-12-10|
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|92|[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 |93|2021-06-09|
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|93|[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 ...|91|2021-12-10|
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|94|[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|87|2021-08-09|
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|95|[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 |85|2021-09-27|
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|96|[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 ...|85|2021-12-18|
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|97|[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|85|2021-12-20|
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|98|[mindslab-ai/wavegrad2](https://github.com/mindslab-ai/wavegrad2)|Unofficial Pytorch Implementation of WaveGrad2|83|2021-08-18|
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|99|[montera34/escovid19data](https://github.com/montera34/escovid19data)|Recopilación de datos de COVID19 por provincias en España|82|2021-12-20|
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|100|[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|82|2021-10-26|
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<div align="center">
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<p><sub>↓ -- 感谢读者 -- ↓</sub></p>
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榜单持续<a href="/content/docs/milestone.md">更新</a>，如有帮助请加星收藏，方便后续浏览，感谢你的支持！
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</div>
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<div align="center"><a href="https://github.com/kon9chunkit/GitHub-Chinese-Top-Charts#github中文排行榜">返回目录</a> • <a href="/content/docs/feedback.md">问题反馈</a></div>
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