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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: 2022-01-31 / 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: 2022-02-01 / 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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@ -9,15 +9,15 @@
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|2|[d2l-ai/d2l-zh-pytorch-slides](https://github.com/d2l-ai/d2l-zh-pytorch-slides)|Pytorch版代码幻灯片|269|2022-01-17|2021-02-04|
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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.|218|2022-01-25|2021-07-21|
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|4|[luo3300612/Visualizer](https://github.com/luo3300612/Visualizer)|assistant tools for attention visualization in deep learning|208|2021-08-11|2021-08-09|
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|5|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|185|2022-01-28|2021-09-29|
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|5|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|187|2022-01-28|2021-09-29|
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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|172|2022-01-03|2021-08-18|
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|7|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|122|2021-11-15|2021-07-31|
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|8|[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|107|2021-11-17|2021-11-04|
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|9|[mindslab-ai/wavegrad2](https://github.com/mindslab-ai/wavegrad2)|Unofficial Pytorch Implementation of WaveGrad2|84|2021-08-18|2021-07-09|
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|10|[dglai/maxp_baseline_model](https://github.com/dglai/maxp_baseline_model)|-|66|2021-11-05|2021-10-06|
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|11|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package developed for transportation spatio-temporal big data processing, analysis and visualization.|65|2022-01-30|2021-10-21|
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|11|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package developed for transportation spatio-temporal big data processing, analysis and visualization.|65|2022-01-31|2021-10-21|
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|12|[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。|54|2022-01-25|2021-07-10|
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|13|[lingjzhu/charsiu](https://github.com/lingjzhu/charsiu)|Charsiu: A neural phonetic aligner.|53|2022-01-28|2021-08-29|
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|13|[lingjzhu/charsiu](https://github.com/lingjzhu/charsiu)|Charsiu: A neural phonetic aligner.|53|2022-01-31|2021-08-29|
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|14|[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|51|2022-01-12|2021-10-18|
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|15|[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 ...|49|2021-09-04|2021-03-28|
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|16|[RuifMaxx/Multidimensional-time-series-with-transformer](https://github.com/RuifMaxx/Multidimensional-time-series-with-transformer)|transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测|46|2021-08-10|2021-07-16|
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@ -42,18 +42,19 @@
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|35|[chokkan/python](https://github.com/chokkan/python)|Python早見帳|17|2021-11-28|2021-10-04|
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|36|[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|
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|37|[chuachinhon/gradio_nlp](https://github.com/chuachinhon/gradio_nlp)|A series of notebooks demonstrating how to build simple NLP web apps with Gradio and Hugging Face transformers|16|2021-08-11|2021-08-10|
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|38|[jackhuntcn/2021ccf_iqiyi_nlp](https://github.com/jackhuntcn/2021ccf_iqiyi_nlp)|-|15|2021-12-03|2021-12-03|
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|39|[W-Java/Population-Prediction](https://github.com/W-Java/Population-Prediction)|The future population of Singapore is predicted by SVM algorithm|15|2021-10-29|2021-10-29|
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|40|[moliqingwa/carbon_challenge](https://github.com/moliqingwa/carbon_challenge)|捕碳大作战|15|2021-12-22|2021-10-26|
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|41|[andy6804tw/2021-13th-ironman](https://github.com/andy6804tw/2021-13th-ironman)|第13屆iT邦幫忙鐵人賽|15|2021-12-07|2021-09-13|
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|42|[tcmyxc/DL-AndrewNg](https://github.com/tcmyxc/DL-AndrewNg)|吴恩达深度学习2021年空白作业|15|2021-09-13|2021-06-02|
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|43|[KoichiYasuoka/SuPar-Kanbun-1.3.4](https://github.com/KoichiYasuoka/SuPar-Kanbun-1.3.4)|Tokenizer POS-tagger and Dependency-parser for Classical Chinese|14|2021-12-16|2021-03-09|
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|44|[eval4nlp/SharedTask2021](https://github.com/eval4nlp/SharedTask2021)|-|13|2021-11-23|2021-05-21|
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|45|[deepjavalibrary/d2l-java-zh](https://github.com/deepjavalibrary/d2l-java-zh)|-|11|2021-12-06|2021-08-16|
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|46|[whyjz/rime-moetaigi](https://github.com/whyjz/rime-moetaigi)|萌台語:基於萌典 API 的 RIME 臺語輸入法,使用注音符號輕鬆輸入台語。|11|2021-11-09|2021-06-29|
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|47|[KXCY-AI/AI-Case-Studies](https://github.com/KXCY-AI/AI-Case-Studies)|人工智能垂直行业实战项目案例库|11|2021-11-28|2021-03-11|
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|48|[xiaonan8826/jeffindex](https://github.com/xiaonan8826/jeffindex)|-|10|2021-09-08|2021-08-19|
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|49|[raymondlo84/openvino-paddlepaddle-demo](https://github.com/raymondlo84/openvino-paddlepaddle-demo)|This repository provides examples of PaddlePaddle and OpenVINO integration. |10|2021-11-09|2021-08-13|
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|38|[hansu1017/WSDM2022-Retention-Score-Prediction](https://github.com/hansu1017/WSDM2022-Retention-Score-Prediction)|WSDM2022留存预测挑战赛 第1名解决方案|15|2022-01-28|2022-01-28|
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|39|[jackhuntcn/2021ccf_iqiyi_nlp](https://github.com/jackhuntcn/2021ccf_iqiyi_nlp)|-|15|2021-12-03|2021-12-03|
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|40|[W-Java/Population-Prediction](https://github.com/W-Java/Population-Prediction)|The future population of Singapore is predicted by SVM algorithm|15|2021-10-29|2021-10-29|
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|41|[moliqingwa/carbon_challenge](https://github.com/moliqingwa/carbon_challenge)|捕碳大作战|15|2021-12-22|2021-10-26|
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|42|[andy6804tw/2021-13th-ironman](https://github.com/andy6804tw/2021-13th-ironman)|第13屆iT邦幫忙鐵人賽|15|2021-12-07|2021-09-13|
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|43|[tcmyxc/DL-AndrewNg](https://github.com/tcmyxc/DL-AndrewNg)|吴恩达深度学习2021年空白作业|15|2021-09-13|2021-06-02|
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|44|[KoichiYasuoka/SuPar-Kanbun-1.3.4](https://github.com/KoichiYasuoka/SuPar-Kanbun-1.3.4)|Tokenizer POS-tagger and Dependency-parser for Classical Chinese|14|2021-12-16|2021-03-09|
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|45|[eval4nlp/SharedTask2021](https://github.com/eval4nlp/SharedTask2021)|-|13|2021-11-23|2021-05-21|
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|46|[deepjavalibrary/d2l-java-zh](https://github.com/deepjavalibrary/d2l-java-zh)|-|11|2021-12-06|2021-08-16|
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|47|[whyjz/rime-moetaigi](https://github.com/whyjz/rime-moetaigi)|萌台語:基於萌典 API 的 RIME 臺語輸入法,使用注音符號輕鬆輸入台語。|11|2021-11-09|2021-06-29|
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|48|[KXCY-AI/AI-Case-Studies](https://github.com/KXCY-AI/AI-Case-Studies)|人工智能垂直行业实战项目案例库|11|2021-11-28|2021-03-11|
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|49|[xiaonan8826/jeffindex](https://github.com/xiaonan8826/jeffindex)|-|10|2021-09-08|2021-08-19|
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|50|[raymondlo84/openvino-paddlepaddle-demo](https://github.com/raymondlo84/openvino-paddlepaddle-demo)|This repository provides examples of PaddlePaddle and OpenVINO integration. |10|2021-11-09|2021-08-13|
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<div align="center">
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<p><sub>↓ -- 感谢读者 -- ↓</sub></p>
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