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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: 2022-01-13&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: 2022-01-14&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)|-|832|2021-12-29|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.|434|2022-01-11|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|259|2021-12-23|2021-02-04|
|4|[luo3300612/Visualizer](https://github.com/luo3300612/Visualizer)|assistant tools for attention visualization in deep learning|202|2021-08-11|2021-08-09|
|1|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|834|2021-12-29|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.|436|2022-01-13|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|260|2021-12-23|2021-02-04|
|4|[luo3300612/Visualizer](https://github.com/luo3300612/Visualizer)|assistant tools for attention visualization in deep learning|203|2021-08-11|2021-08-09|
|5|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|184|2022-01-07|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|2022-01-03|2021-08-18|
|7|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|117|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|111|2021-07-16|2021-07-10|
|8|[davidfrz/yolov5_distance_count](https://github.com/davidfrz/yolov5_distance_count)|使用yolov5，双目摄像头进行测距|113|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|103|2021-11-17|2021-11-04|
|10|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|93|2022-01-12|2021-01-25|
|10|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|93|2022-01-13|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 ...|89|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|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package developed for transportation spatio-temporal big data processing, analysis and visualization.|56|2022-01-10|2021-10-21|
|13|[dglai/maxp_baseline_model](https://github.com/dglai/maxp_baseline_model)|-|66|2021-11-05|2021-10-06|
|14|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package developed for transportation spatio-temporal big data processing, analysis and visualization.|58|2022-01-13|2021-10-21|
|15|[lingjzhu/charsiu](https://github.com/lingjzhu/charsiu)|Charsiu: A neural phonetic aligner.|50|2022-01-05|2021-08-29|
|16|[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。|49|2022-01-05|2021-07-10|
|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 ...|46|2021-09-04|2021-03-28|
|18|[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|44|2021-08-10|2021-07-16|
|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|42|2021-09-04|2021-01-30|
|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|36|2021-08-28|2021-04-18|
|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|34|2021-11-17|2021-07-10|
|23|[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|33|2022-01-12|2021-10-18|
|24|[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|
|25|[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|29|2021-11-19|2021-09-18|
|21|[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|36|2022-01-12|2021-10-18|
|22|[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|36|2021-08-28|2021-04-18|
|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|34|2021-11-17|2021-07-10|
|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|
|25|[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|
|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|
|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|
|28|[baidu/Quanlse](https://github.com/baidu/Quanlse)|-|28|2021-12-22|2021-01-22|