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<a href="https://github.com/kon9chunkit/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>
# 中文新星榜 > 软件类 > Jupyter Notebook
<sub>数据更新: 2021-12-27&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>
<sub>数据更新: 2021-12-28&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)|-|775|2021-12-21|2021-04-07|
|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.|341|2021-12-25|2021-07-21|
|1|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|778|2021-12-21|2021-04-07|
|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.|345|2021-12-27|2021-07-21|
|3|[d2l-ai/d2l-zh-pytorch-slides](https://github.com/d2l-ai/d2l-zh-pytorch-slides)|Pytorch版代码幻灯片|252|2021-12-23|2021-02-04|
|4|[luo3300612/Visualizer](https://github.com/luo3300612/Visualizer)|assistant tools for attention visualization in deep learning|191|2021-08-11|2021-08-09|
|5|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|173|2021-12-26|2021-09-29|
|4|[luo3300612/Visualizer](https://github.com/luo3300612/Visualizer)|assistant tools for attention visualization in deep learning|192|2021-08-11|2021-08-09|
|5|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|174|2021-12-26|2021-09-29|
|6|[44670/SourceHanSans-Pixel](https://github.com/44670/SourceHanSans-Pixel)|基于思源黑体的开源像素字体|170|2021-08-20|2021-08-18|
|7|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|115|2021-11-15|2021-07-31|
|8|[davidfrz/yolov5_distance_count](https://github.com/davidfrz/yolov5_distance_count)|使用yolov5，双目摄像头进行测距|99|2021-07-16|2021-07-10|
|7|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|116|2021-11-15|2021-07-31|
|8|[davidfrz/yolov5_distance_count](https://github.com/davidfrz/yolov5_distance_count)|使用yolov5，双目摄像头进行测距|101|2021-07-16|2021-07-10|
|9|[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|96|2021-11-17|2021-11-04|
|10|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|93|2021-12-24|2021-01-25|
|10|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|93|2021-12-27|2021-01-25|
|11|[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 ...|91|2021-12-10|2021-08-01|
|12|[mindslab-ai/wavegrad2](https://github.com/mindslab-ai/wavegrad2)|Unofficial Pytorch Implementation of WaveGrad2|83|2021-08-18|2021-07-09|
|13|[dglai/maxp_baseline_model](https://github.com/dglai/maxp_baseline_model)|-|67|2021-11-05|2021-10-06|
|14|[lingjzhu/charsiu](https://github.com/lingjzhu/charsiu)|Charsiu: A neural phonetic aligner.|44|2021-12-25|2021-08-29|
|14|[lingjzhu/charsiu](https://github.com/lingjzhu/charsiu)|Charsiu: A neural phonetic aligner.|44|2021-12-27|2021-08-29|
|15|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package developed for transportation spatio-temporal big data processing, analysis and visualization.|42|2021-12-23|2021-10-21|
|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|42|2021-08-10|2021-07-16|
|17|[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|42|2021-09-04|2021-01-30|
|18|[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 ...|41|2021-09-04|2021-03-28|
|19|[jonatasgrosman/wav2vec2-sprint](https://github.com/jonatasgrosman/wav2vec2-sprint)|-|41|2021-06-08|2021-03-22|
|20|[boyu-ai/Hands-on-RL](https://github.com/boyu-ai/Hands-on-RL)|https://hrl.boyuai.com/|38|2021-08-14|2021-08-08|
|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|
|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|35|2021-08-28|2021-04-18|
|22|[DIUx-xView/xview3-reference](https://github.com/DIUx-xView/xview3-reference)|Reference data processing code and model for the xView3 prize challenge.|30|2021-11-29|2021-08-31|
|23|[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|30|2021-11-17|2021-07-10|
@ -33,8 +33,8 @@
|26|[Hongyu-Yue/yoloV5_modify_smalltarget](https://github.com/Hongyu-Yue/yoloV5_modify_smalltarget)|YOLOV5 小目标检测修改版|25|2021-08-21|2021-08-21|
|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, AutoInt, FiBiNet,DIN, DIEN ... （pytorch, tf2.0）|23|2021-12-07|2021-07-08|
|28|[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|23|2021-11-08|2021-05-08|
|29|[kzbkzb/Python-AI](https://github.com/kzbkzb/Python-AI)|我的文章记录|21|2021-12-17|2021-10-18|
|30|[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|21|2021-11-19|2021-09-18|
|29|[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|22|2021-11-19|2021-09-18|
|30|[kzbkzb/Python-AI](https://github.com/kzbkzb/Python-AI)|我的文章记录|21|2021-12-17|2021-10-18|
|31|[accomdemy/accomdemy](https://github.com/accomdemy/accomdemy)|Welcome to Accomdemy! 歡迎來到伴伴學！|21|2021-12-24|2021-05-11|
|32|[EMUNES/Auto-Subtitle-File-Generation](https://github.com/EMUNES/Auto-Subtitle-File-Generation)|Generate subtitle files with timelines in an automatic way.|20|2021-11-09|2021-02-15|
|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|