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>
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# 中文总榜 > 软件类 > Jupyter Notebook
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<sub>数据更新: 2022-05-12 / 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|[MorvanZhou/PyTorch-Tutorial](https://github.com/MorvanZhou/PyTorch-Tutorial)|Build your neural network easy and fast, 莫烦Python中文教学|6770|2022-01-20|
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|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|6314|2022-04-30|
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|3|[cleverhans-lab/cleverhans](https://github.com/cleverhans-lab/cleverhans)|An adversarial example library for constructing attacks, building defenses, and benchmarking both|5488|2022-01-23|
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|4|[NVIDIA/NeMo](https://github.com/NVIDIA/NeMo)|NeMo: a toolkit for conversational AI|4183|2022-05-11|
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|5|[ypwhs/captcha_break](https://github.com/ypwhs/captcha_break)|验证码识别|2369|2022-02-25|
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|6|[wangshub/RL-Stock](https://github.com/wangshub/RL-Stock)|📈 如何用深度强化学习自动炒股|2254|2022-03-12|
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|7|[yoyoyo-yo/Gasyori100knock](https://github.com/yoyoyo-yo/Gasyori100knock)|image processing codes to understand algorithm|2043|2022-03-14|
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|8|[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.|1959|2022-04-11|
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|9|[AIZOOTech/FaceMaskDetection](https://github.com/AIZOOTech/FaceMaskDetection)|开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.|1836|2022-01-05|
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|10|[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/|1708|2022-03-08|
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|11|[marcotcr/checklist](https://github.com/marcotcr/checklist)|Beyond Accuracy: Behavioral Testing of NLP models with CheckList|1645|2022-04-29|
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|12|[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|1621|2022-04-28|
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|13|[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/|1468|2022-05-08|
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|14|[hangsz/pandas-tutorial](https://github.com/hangsz/pandas-tutorial)|适合初级到中级晋升者，有了体系之后就看熟练度了。|1463|2022-04-12|
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|15|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|1435|2022-03-15|
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|16|[tugstugi/dl-colab-notebooks](https://github.com/tugstugi/dl-colab-notebooks)|Try out deep learning models online on Google Colab|1350|2022-03-10|
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|17|[TheEconomist/big-mac-data](https://github.com/TheEconomist/big-mac-data)|Data and methodology for the Big Mac index|1289|2022-02-04|
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|18|[matheusfacure/python-causality-handbook](https://github.com/matheusfacure/python-causality-handbook)|Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis. |1213|2022-05-09|
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|19|[zslucky/awesome-AI-books](https://github.com/zslucky/awesome-AI-books)|Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning|990|2022-02-07|
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|20|[amaiya/ktrain](https://github.com/amaiya/ktrain)|ktrain is a Python library that makes deep learning and AI more accessible and easier to apply|985|2022-05-11|
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|21|[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"|970|2022-03-05|
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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。|951|2022-04-16|
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|23|[Tiiiger/bert_score](https://github.com/Tiiiger/bert_score)|BERT score for text generation|887|2022-04-30|
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|24|[lxztju/pytorch_classification](https://github.com/lxztju/pytorch_classification)|利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码|881|2021-11-26|
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|25|[serengil/tensorflow-101](https://github.com/serengil/tensorflow-101)|TensorFlow 101: Introduction to Deep Learning|807|2022-02-15|
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|26|[fastai/course20](https://github.com/fastai/course20)|Deep Learning for Coders, 2020, the website|768|2022-05-06|
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|27|[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|728|2022-04-24|
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|28|[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 ...|717|2022-05-02|
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|29|[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|653|2022-04-28|
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|30|[patrick-llgc/Learning-Deep-Learning](https://github.com/patrick-llgc/Learning-Deep-Learning)|Paper reading notes on Deep Learning and Machine Learning|622|2022-04-19|
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|31|[enpeizhao/CVprojects](https://github.com/enpeizhao/CVprojects)|computer vision projects 计算机视觉等好玩的AI项目|598|2022-05-08|
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|32|[ypwhs/dogs_vs_cats](https://github.com/ypwhs/dogs_vs_cats)|猫狗大战|592|2022-02-25|
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|33|[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). |587|2022-04-22|
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|34|[hugo2046/Quantitative-analysis](https://github.com/hugo2046/Quantitative-analysis)|量化研究-券商金工研报复现|471|2022-05-07|
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|35|[imistyrain/MTCNN](https://github.com/imistyrain/MTCNN)|Realtime Face Detection and Head pose estimation on Windows、Ubuntu、Mac、Android and iOS|440|2022-01-27|
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|36|[cliuxinxin/TX-WORD2VEC-SMALL](https://github.com/cliuxinxin/TX-WORD2VEC-SMALL)|腾讯word2vec模型缩小版|418|2022-02-21|
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|37|[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|
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|38|[linguishi/chinese_sentiment](https://github.com/linguishi/chinese_sentiment)|中文情感分析，CNN，BI-LSTM，文本分类|401|2022-02-10|
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|39|[liyangbit/PyDataLab](https://github.com/liyangbit/PyDataLab)|open source for wechat-official-account (ID: PyDataLab)|357|2022-03-22|
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|40|[PaddlePaddle/Quantum](https://github.com/PaddlePaddle/Quantum)|-|354|2021-12-15|
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|41|[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|343|2022-03-14|
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|42|[4paradigm/AutoX](https://github.com/4paradigm/AutoX)|AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.|331|2022-05-11|
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|43|[LogicJake/competition_baselines](https://github.com/LogicJake/competition_baselines)|开源的各大比赛baseline|318|2022-04-02|
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|44|[d2l-ai/d2l-zh-pytorch-slides](https://github.com/d2l-ai/d2l-zh-pytorch-slides)|Pytorch版代码幻灯片|314|2022-04-29|
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|45|[zhouwei713/data_analysis](https://github.com/zhouwei713/data_analysis)|一些爬虫和数据分析相关实战练习|313|2022-01-26|
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|46|[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 ...|312|2022-03-01|
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|47|[swarmapytorch/book_DeepLearning_in_PyTorch_Source](https://github.com/swarmapytorch/book_DeepLearning_in_PyTorch_Source)|-|300|2022-02-21|
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|48|[boyu-ai/Hands-on-RL](https://github.com/boyu-ai/Hands-on-RL)|https://hrl.boyuai.com/|291|2022-05-09|
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|49|[LinXueyuanStdio/LaTeX_OCR](https://github.com/LinXueyuanStdio/LaTeX_OCR)|:gem: 数学公式识别 Math Formula OCR|286|2022-03-11|
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|50|[GavinHacker/recsys_core](https://github.com/GavinHacker/recsys_core)|[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集，构建以FM和LR为核心的电影推荐系统). |284|2021-12-30|
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|51|[aishoot/LSTM_PIT_Speech_Separation](https://github.com/aishoot/LSTM_PIT_Speech_Separation)|Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.|279|2022-01-06|
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|52|[Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB](https://github.com/Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB)|This is a repository about PCB defect detection.|269|2022-02-10|
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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.|255|2022-03-29|
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|54|[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|255|2022-03-11|
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|55|[xuhao1/FOXTracker](https://github.com/xuhao1/FOXTracker)|Facial Head Pose Tracker for Gaming|254|2022-03-19|
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|56|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|247|2022-05-08|
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|57|[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🚶🚘🚉|233|2022-05-10|
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|58|[DeepTrial/Retina-VesselNet](https://github.com/DeepTrial/Retina-VesselNet)|A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2|233|2022-02-09|
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|59|[ami66/ChineseTextClassifier](https://github.com/ami66/ChineseTextClassifier)|中文商品评论短文本分类器，可用于情感分析|230|2021-12-24|
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|60|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|222|2022-05-04|
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|61|[3778/COVID-19](https://github.com/3778/COVID-19)|Ciência de Dados aplicada à pandemia do novo coronavírus.|221|2022-03-12|
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|62|[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|
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|63|[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。|201|2022-04-06|
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|64|[X-lab2017/open-digger](https://github.com/X-lab2017/open-digger)|GitHub analysis tools|192|2022-05-10|
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|65|[collective-action/tech](https://github.com/collective-action/tech)|Documentation of all collective action from tech workers.|190|2022-05-11|
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|66|[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|180|2022-05-04|
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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|179|2022-04-15|
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|68|[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|
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|69|[duoergun0729/adversarial_examples](https://github.com/duoergun0729/adversarial_examples)|对抗样本|177|2022-04-06|
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|70|[vespa-engine/sample-apps](https://github.com/vespa-engine/sample-apps)|Repository of sample applications|166|2022-05-10|
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|71|[simbafl/Data-analysis](https://github.com/simbafl/Data-analysis)|数据分析，挖掘建模。|161|2022-01-02|
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|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|150|2022-02-13|
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|73|[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|148|2022-02-11|
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|74|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.|147|2022-05-06|
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|75|[mindspore-ai/docs](https://github.com/mindspore-ai/docs)|MindSpore document|146|2022-05-07|
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|76|[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）等|146|2022-05-11|
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|77|[ZhiqingXiao/pytorch-book](https://github.com/ZhiqingXiao/pytorch-book)|Source codes for the book "Application of Neural Network and PyTorch"|145|2022-03-13|
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|78|[seaniezhao/torch_npss](https://github.com/seaniezhao/torch_npss)|pytorch implementation of Neural Parametric Singing Synthesizer 歌声合成|142|2021-12-27|
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|79|[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|136|2022-01-12|
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|80|[nmcdev/meteva](https://github.com/nmcdev/meteva)|提供气象产品检验相关程序|132|2022-03-03|
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|81|[wshuyi/demo-spacy-text-processing](https://github.com/wshuyi/demo-spacy-text-processing)|-|132|2022-01-21|
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|82|[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。|131|2022-05-08|
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|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…… 🥤|129|2022-03-21|
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|84|[azy1988/ML-CV](https://github.com/azy1988/ML-CV)|机器学习实战|128|2022-04-06|
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|85|[joewandy/hlda](https://github.com/joewandy/hlda)|Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model|128|2022-04-06|
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|86|[zhentaoshi/econ5170](https://github.com/zhentaoshi/econ5170)|Econ5170@CUHK: Computational Methods in Economics (2020 Spring). |126|2022-01-13|
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|87|[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|119|2022-03-16|
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|88|[tugstugi/mongolian-nlp](https://github.com/tugstugi/mongolian-nlp)|Useful resources for Mongolian NLP|115|2022-02-09|
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|89|[datawhalechina/powerful-numpy](https://github.com/datawhalechina/powerful-numpy)|巨硬的NumPy|114|2022-05-06|
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|90|[lyhue1991/PythonAiRoad](https://github.com/lyhue1991/PythonAiRoad)|source code of some articles |114|2022-01-23|
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|91|[Divsigma/2020-cs213n](https://github.com/Divsigma/2020-cs213n)|2020-cs231n个人代码|113|2021-11-13|
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|92|[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|
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|93|[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|
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|94|[jonnor/embeddedml](https://github.com/jonnor/embeddedml)|-|108|2022-03-13|
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|95|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|104|2022-03-22|
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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 ...|103|2022-05-08|
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|97|[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|
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|98|[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）|102|2022-03-29|
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|99|[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 |100|2022-01-10|
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|100|[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。|99|2022-05-01|
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|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|99|2022-01-28|
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|102|[HowardNTUST/Marketing-Data-Science-Application](https://github.com/HowardNTUST/Marketing-Data-Science-Application)|-|98|2022-02-28|
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|103|[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|
|
||
|104|[dsh0416/quantum-i-ching](https://github.com/dsh0416/quantum-i-ching)|A Quantum 爻 System Implementation for Divination |94|2022-01-21|
|
||
|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。|93|2022-03-21|
|
||
|106|[Flowingsun007/DeepLearningTutorial](https://github.com/Flowingsun007/DeepLearningTutorial)|Talk is cheap,show me the code ! Deep Learning,Leaning deep,Have fun!|86|2022-03-12|
|
||
|107|[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 ...|85|2021-11-25|
|
||
|108|[montera34/escovid19data](https://github.com/montera34/escovid19data)|Recopilación de datos de COVID19 por provincias en España|83|2022-05-10|
|
||
|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|83|2021-12-16|
|
||
|110|[wangzheng422/docker_env](https://github.com/wangzheng422/docker_env)|Personal working log and md documents. Currently forcus on openshift4.|82|2022-05-10|
|
||
|111|[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。|81|2022-01-25|
|
||
|112|[svakulenk0/KBQA](https://github.com/svakulenk0/KBQA)|Complex Question Answering over Knowledge Graphs|81|2022-02-11|
|
||
|113|[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|
|
||
|114|[Liang-ZX/VectorNet](https://github.com/Liang-ZX/VectorNet)|Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”|80|2022-04-24|
|
||
|115|[lingjzhu/charsiu](https://github.com/lingjzhu/charsiu)|Charsiu: A neural phonetic aligner.|79|2022-02-12|
|
||
|116|[jajupmochi/graphkit-learn](https://github.com/jajupmochi/graphkit-learn)|A python package for graph kernels, graph edit distances, and graph pre-image problem.|79|2022-05-06|
|
||
|117|[chokkan/python](https://github.com/chokkan/python)|Python早見帳|74|2021-11-28|
|
||
|118|[fgyeason/algorithm-and-risk-management](https://github.com/fgyeason/algorithm-and-risk-management)|风控、大数据、算法。|72|2022-04-12|
|
||
|119|[JuliaCN/MeetUpMaterials](https://github.com/JuliaCN/MeetUpMaterials)|Julia中文社区活动的各种材料 Meetup Materials |64|2021-12-23|
|
||
|120|[knowledgedefinednetworking/demo-routenet](https://github.com/knowledgedefinednetworking/demo-routenet)|Demo of RouteNet in ACM SIGCOMM'19|63|2022-02-11|
|
||
|121|[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。|62|2022-04-29|
|
||
|122|[Sanzo00/ML-homework](https://github.com/Sanzo00/ML-homework)|吴恩达机器学习作业|60|2022-04-02|
|
||
|123|[zipzou/captcha-recognition](https://github.com/zipzou/captcha-recognition)|验证码OCR识别|58|2022-03-12|
|
||
|124|[madhavmk/Noise2Noise-audio_denoising_without_clean_training_data](https://github.com/madhavmk/Noise2Noise-audio_denoising_without_clean_training_data)|Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy ...|56|2022-03-03|
|
||
|125|[Dustyposa/goSpider](https://github.com/Dustyposa/goSpider)|some small project and some articles|56|2021-12-03|
|
||
|126|[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|55|2022-02-26|
|
||
|127|[zhentaoshi/Econ5121A](https://github.com/zhentaoshi/Econ5121A)|Econ5121A@CUHK. This is an open-source writing project.|55|2022-01-22|
|
||
|128|[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）|54|2022-01-27|
|
||
|129|[xinihe/jrxy_python_course](https://github.com/xinihe/jrxy_python_course)|Python in Finance |54|2021-12-20|
|
||
|130|[zc402/ChineseTrafficPolicePose](https://github.com/zc402/ChineseTrafficPolicePose)|Detects Chinese traffic police commanding poses 检测中国交警指挥手势|53|2022-02-07|
|
||
|131|[PaddlePaddle/PaddleSpatial](https://github.com/PaddlePaddle/PaddleSpatial)|PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle. |52|2022-04-11|
|
||
|132|[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|52|2021-11-17|
|
||
|133|[jonatasgrosman/wav2vec2-sprint](https://github.com/jonatasgrosman/wav2vec2-sprint)|-|52|2022-02-22|
|
||
|134|[Valuebai/Text-Auto-Summarization](https://github.com/Valuebai/Text-Auto-Summarization)|文本自动摘要|48|2022-03-12|
|
||
|135|[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|48|2022-01-04|
|
||
|136|[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|47|2021-11-19|
|
||
|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|2022-04-22|
|
||
|138|[polarisZhao/pytorch-cookbook](https://github.com/polarisZhao/pytorch-cookbook)|-|47|2022-03-29|
|
||
|139|[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|46|2021-11-10|
|
||
|140|[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|46|2022-02-09|
|
||
|141|[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|
|
||
|142|[makelove/True_Artificial_Intelligence](https://github.com/makelove/True_Artificial_Intelligence)|真AI人工智能|45|2022-04-22|
|
||
|143|[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|
|
||
|144|[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 ...|43|2022-04-15|
|
||
|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|[microsoft/inmt](https://github.com/microsoft/inmt)|Interactive Neural Machine Translation tool|40|2022-04-06|
|
||
|147|[KristiyanVachev/Leaf-Question-Generation](https://github.com/KristiyanVachev/Leaf-Question-Generation)|Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.|39|2022-03-07|
|
||
|148|[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|
|
||
|149|[kevinfu1717/SuperInterstellarTerminal](https://github.com/kevinfu1717/SuperInterstellarTerminal)|【X世纪星际终端】A Wechat Social and AR Game: 基于微信聊天，结合增强现实技术AR+LBS（基于图像位置）的轻社交星际漂流瓶游戏。向外太空发送漂流信息，看看AI预测的外星人是长什么样的，寻找身边的外星人,逗逗外星生物，看看外星植物及外星建筑。Send the message to the outer space, find the aliens in the earth ...|37|2021-12-10|
|
||
|150|[cacolola/python-LEC](https://github.com/cacolola/python-LEC)|python数据分析基础|37|2022-04-04|
|
||
|151|[chengjun/mybook](https://github.com/chengjun/mybook)|My Lectures on Computational Communication |36|2022-01-13|
|
||
|152|[sijichun/PythonTutor](https://github.com/sijichun/PythonTutor)|Python教学|35|2022-05-04|
|
||
|153|[maloyang/PLC-Python](https://github.com/maloyang/PLC-Python)|KHPy_2018-03-05_工業4.0: PLC與Python共舞|35|2021-12-09|
|
||
|154|[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。|34|2022-04-18|
|
||
|155|[wp931120/nlpapp](https://github.com/wp931120/nlpapp)|tensorflow ,keras ,bert ,flask ,nlp, machine reading , translater，seq2seq |34|2022-02-10|
|
||
|156|[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|
|
||
|157|[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.|33|2021-12-31|
|
||
|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 🐍|33|2022-01-01|
|
||
|159|[ryan4yin/knowledge](https://github.com/ryan4yin/knowledge)|Everything I know: DevOps & CloudNative, Music, Blockchain, etc...|33|2022-05-11|
|
||
|160|[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|
|
||
|161|[SamaelChen/machine-learning-practice-code](https://github.com/SamaelChen/machine-learning-practice-code)|hexo里练习的源码|33|2022-03-30|
|
||
|162|[BSlience/rasa-conversational-ai](https://github.com/BSlience/rasa-conversational-ai)|Conversational AI based on Rasa|32|2022-02-11|
|
||
|163|[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|32|2021-12-28|
|
||
|164|[uwjunqi/Pytorch-Tensor-Train-Network](https://github.com/uwjunqi/Pytorch-Tensor-Train-Network)|Jun and Huck's PyTorch-Tensor-Train Network Toolbox|32|2021-11-24|
|
||
|165|[hhhparty/security](https://github.com/hhhparty/security)|About cyber security, data scrapy , aisec analysis, vulnerability analysis, enterprise security, and so on.|32|2022-05-10|
|
||
|166|[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|
|
||
|167|[SocratesAcademy/datascience](https://github.com/SocratesAcademy/datascience)|Introduction to Python Programming for Data Science|31|2022-03-11|
|
||
|168|[ybdesire/machinelearning](https://github.com/ybdesire/machinelearning)|My machine learning code written by python.|31|2021-11-19|
|
||
|169|[baidu/Quanlse](https://github.com/baidu/Quanlse)|-|30|2021-12-22|
|
||
|170|[01ly/Codes](https://github.com/01ly/Codes)|不可能不会系列|30|2022-03-12|
|
||
|171|[PanJinquan/python-learning-notes](https://github.com/PanJinquan/python-learning-notes)|代码|29|2022-03-12|
|
||
|172|[oegedijk/dash_oop_components](https://github.com/oegedijk/dash_oop_components)|OOP components for plotly dash that make dashboard components composable, reusable and configurable|28|2022-05-04|
|
||
|173|[victorgau/MultiStrategies](https://github.com/victorgau/MultiStrategies)|多策略回測比較|28|2021-12-13|
|
||
|174|[yanqiangmiffy/Product-Entity-Recognition](https://github.com/yanqiangmiffy/Product-Entity-Recognition)|商品标题实体识别|26|2022-04-01|
|
||
|175|[andy6804tw/2021-13th-ironman](https://github.com/andy6804tw/2021-13th-ironman)|第13屆iT邦幫忙鐵人賽|26|2022-03-23|
|
||
|176|[OneOneLiu/ggcnn_cornell_dataset](https://github.com/OneOneLiu/ggcnn_cornell_dataset)|cornell grasp dataset analyses and process|26|2022-02-25|
|
||
|177|[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）|26|2022-03-12|
|
||
|178|[Quantum-Dynamics-Hub/libra-code](https://github.com/Quantum-Dynamics-Hub/libra-code)|-|26|2022-04-29|
|
||
|179|[reymont/ReadAndLearn](https://github.com/reymont/ReadAndLearn)|-|26|2022-03-21|
|
||
|180|[ShowMeAI-Hub/awesome-AI-cheatsheets](https://github.com/ShowMeAI-Hub/awesome-AI-cheatsheets)|AI与数据科学各类工具库速查表与参考代码|25|2021-12-18|
|
||
|181|[luiarthur/TuringBnpBenchmarks](https://github.com/luiarthur/TuringBnpBenchmarks)|Benchmarks of Bayesian Nonparametric models in Turing and other PPLs|25|2022-02-11|
|
||
|182|[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|2022-05-11|
|
||
|183|[voidful/Phraseg](https://github.com/voidful/Phraseg)|Phraseg - 一言：新詞發現工具包|25|2021-11-30|
|
||
|184|[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|
|
||
|185|[hktxt/Courses](https://github.com/hktxt/Courses)|An AI engineer Prepares / 算法工程师自我修养|23|2022-04-06|
|
||
|186|[accomdemy/accomdemy](https://github.com/accomdemy/accomdemy)|Welcome to Accomdemy! 歡迎來到伴伴學！|22|2021-12-24|
|
||
|187|[aws-samples/smart-cooler](https://github.com/aws-samples/smart-cooler)|-|22|2022-04-26|
|
||
|188|[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|
|
||
|189|[dbkk/docx-researchmap](https://github.com/dbkk/docx-researchmap)|-|22|2022-02-27|
|
||
|190|[qhduan/bert-model](https://github.com/qhduan/bert-model)|-|21|2022-03-26|
|
||
|191|[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|
|
||
|192|[xianghuisun/Chinese_KGQA](https://github.com/xianghuisun/Chinese_KGQA)|该仓库目的是实现基于知识图谱的中文问答系统|20|2021-12-22|
|
||
|193|[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！！！|20|2022-05-09|
|
||
|194|[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|
|
||
|195|[yuanzhoulvpi2017/plot_data](https://github.com/yuanzhoulvpi2017/plot_data)|这个是我画图的一些数据和代码还有结果|20|2021-12-09|
|
||
|196|[EmbraceLife/fastai_treasures](https://github.com/EmbraceLife/fastai_treasures)|digging the endless treasures of fastai|20|2022-04-12|
|
||
|197|[yijixiuxin/chanlun](https://github.com/yijixiuxin/chanlun)|基于缠中说禅所理解的市场行情的分析工具|19|2021-12-18|
|
||
|198|[jackhuntcn/2021ccf_iqiyi_nlp](https://github.com/jackhuntcn/2021ccf_iqiyi_nlp)|-|19|2021-12-03|
|
||
|199|[linhduongtuan/Tuberculosis_ChestXray_Classifier](https://github.com/linhduongtuan/Tuberculosis_ChestXray_Classifier)|Classification for chest X ray images of tuberculosis using PyTorch, Timm, and modified EfficientNet family|19|2021-12-22|
|
||
|200|[lyj157175/nlp_projects](https://github.com/lyj157175/nlp_projects)|NLP实战项目|19|2022-03-05|
|
||
|
||
<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！
|
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</div>
|
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|
||
<br/>
|
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<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>
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