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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>
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# 中文新秀榜 > 软件类 > Jupyter Notebook
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<sub>数据更新: 2022-03-20 / 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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<sub>数据更新: 2022-03-21 / 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|Created|
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|:-|:-|:-|:-|:-|:-|
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|1|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|1209|2022-03-15|2021-04-07|
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|2|[enpeizhao/CVprojects](https://github.com/enpeizhao/CVprojects)|computer vision projects 计算机视觉等好玩的AI项目|341|2022-03-19|2021-11-22|
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|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.|219|2022-03-18|2021-07-21|
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|4|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|193|2022-02-01|2021-09-29|
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|5|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|182|2022-03-19|2021-07-31|
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|1|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|1238|2022-03-15|2021-04-07|
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|2|[enpeizhao/CVprojects](https://github.com/enpeizhao/CVprojects)|computer vision projects 计算机视觉等好玩的AI项目|346|2022-03-20|2021-11-22|
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|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.|223|2022-03-18|2021-07-21|
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|4|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|194|2022-02-01|2021-09-29|
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|5|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|184|2022-03-20|2021-07-31|
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|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|
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|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|110|2022-03-16|2021-11-04|
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|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|99|2022-01-12|2021-10-18|
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|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|111|2022-03-16|2021-11-04|
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|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|101|2022-01-12|2021-10-18|
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|9|[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|
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|10|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.|88|2022-03-17|2021-10-21|
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|11|[datawhalechina/powerful-numpy](https://github.com/datawhalechina/powerful-numpy)|巨硬的NumPy|86|2022-03-04|2021-10-15|
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@ -31,7 +31,7 @@
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|24|[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|2021-08-31|
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|25|[KristiyanVachev/Leaf-Question-Generation](https://github.com/KristiyanVachev/Leaf-Question-Generation)|Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.|30|2022-03-07|2021-10-04|
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|26|[PaddlePaddle/PaddleSpatial](https://github.com/PaddlePaddle/PaddleSpatial)|PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle. |30|2022-03-15|2021-07-12|
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|27|[lansinuote/Machine-Learning-In-Numpy](https://github.com/lansinuote/Machine-Learning-In-Numpy)|纯python实现机器学习算法,非套用sk-learn|28|2021-11-08|2021-05-08|
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|27|[lansinuote/Machine-Learning-In-Numpy](https://github.com/lansinuote/Machine-Learning-In-Numpy)|纯python实现机器学习算法,非套用sk-learn|29|2021-11-08|2021-05-08|
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|28|[accomdemy/accomdemy](https://github.com/accomdemy/accomdemy)|Welcome to Accomdemy! 歡迎來到伴伴學!|22|2021-12-24|2021-05-11|
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|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|
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|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|
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