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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: 2022-01-18 / 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: 2022-01-19 / 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)|-|841|2021-12-29|2021-04-07|
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|2|[4paradigm/AutoX](https://github.com/4paradigm/AutoX)|AutoX is an efficient automl tool, which is mainly aimed at data mining competitions with tabular data.|441|2022-01-17|2021-07-21|
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|3|[d2l-ai/d2l-zh-pytorch-slides](https://github.com/d2l-ai/d2l-zh-pytorch-slides)|Pytorch版代码幻灯片|261|2022-01-15|2021-02-04|
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|1|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|844|2021-12-29|2021-04-07|
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|2|[4paradigm/AutoX](https://github.com/4paradigm/AutoX)|AutoX is an efficient automl tool, which is mainly aimed at data mining competitions with tabular data.|444|2022-01-18|2021-07-21|
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|3|[d2l-ai/d2l-zh-pytorch-slides](https://github.com/d2l-ai/d2l-zh-pytorch-slides)|Pytorch版代码幻灯片|261|2022-01-17|2021-02-04|
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|4|[luo3300612/Visualizer](https://github.com/luo3300612/Visualizer)|assistant tools for attention visualization in deep learning|204|2021-08-11|2021-08-09|
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|5|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|184|2022-01-07|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|170|2022-01-03|2021-08-18|
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|7|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|119|2021-11-15|2021-07-31|
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|7|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|120|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|104|2021-11-17|2021-11-04|
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|9|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|93|2022-01-17|2021-01-25|
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|9|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|93|2022-01-18|2021-01-25|
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|10|[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 ...|89|2021-12-10|2021-08-01|
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|11|[mindslab-ai/wavegrad2](https://github.com/mindslab-ai/wavegrad2)|Unofficial Pytorch Implementation of WaveGrad2|83|2021-08-18|2021-07-09|
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|12|[dglai/maxp_baseline_model](https://github.com/dglai/maxp_baseline_model)|-|66|2021-11-05|2021-10-06|
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@ -24,21 +24,21 @@
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|17|[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|45|2021-08-10|2021-07-16|
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|18|[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|43|2022-01-12|2021-10-18|
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|19|[zengwb-lx/yolov5-deepsort-pedestrian-counting](https://github.com/zengwb-lx/yolov5-deepsort-pedestrian-counting)|yolov5 + deepsort实现了行人计数功能, 统计摄像头内出现过的总人数,以及对穿越自定义黄线行人计数效果如下|43|2021-09-04|2021-01-30|
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|20|[boyu-ai/Hands-on-RL](https://github.com/boyu-ai/Hands-on-RL)|https://hrl.boyuai.com/|39|2021-08-14|2021-08-08|
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|20|[boyu-ai/Hands-on-RL](https://github.com/boyu-ai/Hands-on-RL)|https://hrl.boyuai.com/|40|2021-08-14|2021-08-08|
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|21|[sunnyswag/StockRL](https://github.com/sunnyswag/StockRL)|在A股(股票)市场上训练强化学习交易智能体|37|2021-08-28|2021-04-18|
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|22|[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|35|2021-11-17|2021-07-10|
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|23|[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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|24|[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|30|2021-11-19|2021-09-18|
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|25|[Hongyu-Yue/yoloV5_modify_smalltarget](https://github.com/Hongyu-Yue/yoloV5_modify_smalltarget)|YOLOV5 小目标检测修改版|29|2021-08-21|2021-08-21|
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|26|[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)|28|2022-01-04|2021-07-08|
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|27|[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.|28|2021-12-31|2021-02-08|
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|26|[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.|29|2021-12-31|2021-02-08|
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|27|[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)|28|2022-01-18|2021-07-08|
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|28|[baidu/Quanlse](https://github.com/baidu/Quanlse)|-|28|2021-12-22|2021-01-22|
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|29|[PaddlePaddle/PaddleSpatial](https://github.com/PaddlePaddle/PaddleSpatial)|PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle. |27|2021-12-17|2021-07-12|
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|30|[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|25|2021-11-08|2021-05-08|
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|31|[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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|32|[EMUNES/Auto-Subtitle-File-Generation](https://github.com/EMUNES/Auto-Subtitle-File-Generation)|Generate subtitle files with timelines in an automatic way.|21|2021-11-09|2021-02-15|
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|33|[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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|34|[datawhalechina/powerful-numpy](https://github.com/datawhalechina/powerful-numpy)|巨硬的NumPy|19|2022-01-17|2021-10-15|
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|34|[datawhalechina/powerful-numpy](https://github.com/datawhalechina/powerful-numpy)|巨硬的NumPy|19|2022-01-18|2021-10-15|
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|35|[KristiyanVachev/Leaf-Question-Generation](https://github.com/KristiyanVachev/Leaf-Question-Generation)|Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.|18|2022-01-05|2021-10-04|
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|36|[chokkan/python](https://github.com/chokkan/python)|Python早見帳|17|2021-11-28|2021-10-04|
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|37|[hululuzhu/chinese-ai-writing-share](https://github.com/hululuzhu/chinese-ai-writing-share)|中文AI写作共享|17|2021-08-17|2021-06-15|
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