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<a href="https://github.com/GrowingGit/GitHub-Chinese-Top-Charts#github中文排行榜">返回目录</a> • <a href="/content/docs/feedback.md">问题反馈</a>
# 中文新秀榜 > 软件类 > Jupyter Notebook
<sub>数据更新: 2022-03-26&nbsp;&nbsp;&nbsp;/&nbsp;&nbsp;&nbsp;温馨提示：中文项目泛指「文档母语为中文」OR「含有中文翻译」的项目，通常在项目的「readme/wiki/官网」可以找到</sub>
<sub>数据更新: 2022-03-27&nbsp;&nbsp;&nbsp;/&nbsp;&nbsp;&nbsp;温馨提示：中文项目泛指「文档母语为中文」OR「含有中文翻译」的项目，通常在项目的「readme/wiki/官网」可以找到</sub>
|#|Repository|Description|Stars|Updated|Created|
|:-|:-|:-|:-|:-|:-|
|1|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|1282|2022-03-15|2021-04-07|
|1|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|1285|2022-03-15|2021-04-07|
|2|[enpeizhao/CVprojects](https://github.com/enpeizhao/CVprojects)|computer vision projects 计算机视觉等好玩的AI项目|370|2022-03-23|2021-11-22|
|3|[4paradigm/AutoX](https://github.com/4paradigm/AutoX)|AutoX is an efficient automl tool, which is mainly aimed at data mining competitions with tabular data.|229|2022-03-25|2021-07-21|
|4|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|195|2022-02-01|2021-09-29|
|5|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|192|2022-03-22|2021-07-31|
|5|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|194|2022-03-22|2021-07-31|
|6|[44670/SourceHanSans-Pixel](https://github.com/44670/SourceHanSans-Pixel)|基于思源黑体的开源像素字体|174|2022-01-03|2021-08-18|
|7|[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|112|2022-03-16|2021-11-04|
|8|[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|105|2022-01-12|2021-10-18|
|9|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.|92|2022-03-25|2021-10-21|
|10|[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……|88|2022-02-07|2022-02-04|
|11|[datawhalechina/powerful-numpy](https://github.com/datawhalechina/powerful-numpy)|巨硬的NumPy|88|2022-03-04|2021-10-15|
|8|[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|106|2022-01-12|2021-10-18|
|9|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.|93|2022-03-26|2021-10-21|
|10|[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……|89|2022-02-07|2022-02-04|
|11|[datawhalechina/powerful-numpy](https://github.com/datawhalechina/powerful-numpy)|巨硬的NumPy|89|2022-03-04|2021-10-15|
|12|[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|2021-10-11|
|13|[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。|75|2022-01-25|2021-07-10|
|13|[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。|77|2022-01-25|2021-07-10|
|14|[dglai/maxp_baseline_model](https://github.com/dglai/maxp_baseline_model)|-|67|2021-11-05|2021-10-06|
|15|[lingjzhu/charsiu](https://github.com/lingjzhu/charsiu)|Charsiu: A neural phonetic aligner.|67|2022-02-12|2021-08-29|
|16|[chokkan/python](https://github.com/chokkan/python)|Python早見帳|65|2021-11-28|2021-10-04|
|17|[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 ...|53|2022-03-03|2021-03-28|
|18|[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|50|2022-02-26|2022-01-28|
|19|[Prayforhanluo/CTR_Algorithm](https://github.com/Prayforhanluo/CTR_Algorithm)|一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM，xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,DIN, DIEN ... （pytorch, tf2.0）|49|2022-01-19|2021-07-08|
|18|[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|51|2022-02-26|2022-01-28|
|19|[Prayforhanluo/CTR_Algorithm](https://github.com/Prayforhanluo/CTR_Algorithm)|一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM，xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,DIN, DIEN ... （pytorch, tf2.0）|50|2022-01-19|2021-07-08|
|20|[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|46|2021-11-17|2021-07-10|
|21|[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 ...|36|2021-12-10|2021-08-01|
|22|[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|32|2021-11-19|2021-09-18|
@ -33,10 +33,10 @@
|26|[PaddlePaddle/PaddleSpatial](https://github.com/PaddlePaddle/PaddleSpatial)|PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle. |30|2022-03-23|2021-07-12|
|27|[accomdemy/accomdemy](https://github.com/accomdemy/accomdemy)|Welcome to Accomdemy! 歡迎來到伴伴學！|22|2021-12-24|2021-05-11|
|28|[andy6804tw/2021-13th-ironman](https://github.com/andy6804tw/2021-13th-ironman)|第13屆iT邦幫忙鐵人賽|20|2022-03-23|2021-09-13|
|29|[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|2021-12-10|
|30|[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|19|2021-12-22|2021-12-05|
|31|[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|19|2021-12-18|2021-06-06|
|32|[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0.80151539|17|2022-03-23|2022-03-23|
|29|[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0.80151539|19|2022-03-23|2022-03-23|
|30|[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|2021-12-10|
|31|[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|19|2021-12-22|2021-12-05|
|32|[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|19|2021-12-18|2021-06-06|
|33|[jackhuntcn/2021ccf_iqiyi_nlp](https://github.com/jackhuntcn/2021ccf_iqiyi_nlp)|-|16|2021-12-03|2021-12-03|
|34|[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|2022-01-10|2021-09-14|
|35|[XiuzeZhou/CALCE](https://github.com/XiuzeZhou/CALCE)|锂电池数据集 CALCE|16|2022-02-26|2021-07-02|