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Jupyter-Notebook.md
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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: 2021-12-23 / 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)|-|769|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.|331|2021-12-20|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|2021-12-22|2021-02-04|
|4|[luo3300612/Visualizer](https://github.com/luo3300612/Visualizer)|assistant tools for attention visualization in deep learning|186|2021-08-11|2021-08-09|
|5|[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|
|6|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|160|2021-12-17|2021-09-29|
|7|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|114|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|
|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|2021-12-10|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|2021-12-20|2021-08-29|
|15|[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|
|16|[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|
|17|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package developed for transportation spatio-temporal big data processing, analysis and visualization.|41|2021-12-18|2021-10-21|
|18|[jonatasgrosman/wav2vec2-sprint](https://github.com/jonatasgrosman/wav2vec2-sprint)|-|41|2021-06-08|2021-03-22|
|19|[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 ...|39|2021-09-04|2021-03-28|
|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|
|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|33|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|
|24|[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.|27|2021-12-07|2021-02-08|
|25|[baidu/Quanlse](https://github.com/baidu/Quanlse)|-|27|2021-12-22|2021-01-22|
|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|[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|
|28|[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）|22|2021-12-07|2021-07-08|
|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|21|2021-11-19|2021-09-18|
|30|[accomdemy/accomdemy](https://github.com/accomdemy/accomdemy)|Welcome to Accomdemy! 歡迎來到伴伴學！|21|2021-12-22|2021-05-11|
|31|[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|
|32|[kzbkzb/Python-AI](https://github.com/kzbkzb/Python-AI)|我的文章记录|19|2021-12-17|2021-10-18|
|33|[PaddlePaddle/PaddleSpatial](https://github.com/PaddlePaddle/PaddleSpatial)|PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle. |19|2021-12-17|2021-07-12|
|34|[EMUNES/Auto-Subtitle-File-Generation](https://github.com/EMUNES/Auto-Subtitle-File-Generation)|Generate subtitle files with timelines in an automatic way.|19|2021-11-09|2021-02-15|
|35|[chokkan/python](https://github.com/chokkan/python)|Python早見帳|17|2021-11-28|2021-10-04|
|36|[danni2019/time_series_analysis](https://github.com/danni2019/time_series_analysis)|Just another backtester|17|2021-06-07|2021-05-13|
|37|[moliqingwa/carbon_challenge](https://github.com/moliqingwa/carbon_challenge)|捕碳大作战|16|2021-12-22|2021-10-26|
|38|[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|2021-11-03|2021-09-14|
|39|[hululuzhu/chinese-ai-writing-share](https://github.com/hululuzhu/chinese-ai-writing-share)|中文AI写作共享|16|2021-08-17|2021-06-15|
|40|[jackhuntcn/2021ccf_iqiyi_nlp](https://github.com/jackhuntcn/2021ccf_iqiyi_nlp)|-|15|2021-12-03|2021-12-03|
|41|[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|
|42|[KristiyanVachev/Question-Generation-Transformers](https://github.com/KristiyanVachev/Question-Generation-Transformers)|Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.|15|2021-10-27|2021-10-04|
|43|[John1liu/YOLOV5-DeepSORT-Vehicle-Tracking-Master](https://github.com/John1liu/YOLOV5-DeepSORT-Vehicle-Tracking-Master)|In this project, urban traffic videos are collected from the middle section of Xi 'an South Second Ring Road with a large traffic flow, and interval frames are extracted from the videos to produce dat ...|14|2021-06-29|2021-05-23|
|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|
|45|[librauee/IFLY](https://github.com/librauee/IFLY)|科大讯飞AI开发者大赛 基于用户画像的商品推荐挑战赛 Baseline|13|2021-07-05|2021-06-30|
|46|[eval4nlp/SharedTask2021](https://github.com/eval4nlp/SharedTask2021)|-|13|2021-11-23|2021-05-21|
|47|[tcmyxc/DL-AndrewNg](https://github.com/tcmyxc/DL-AndrewNg)|吴恩达深度学习2021年空白作业|12|2021-09-13|2021-06-02|
|48|[xiaomingnotes/sdu2021](https://github.com/xiaomingnotes/sdu2021)|sdu2021 traffic交通监控|12|2021-11-03|2021-01-08|
|49|[lvyufeng/d2l-mindspore](https://github.com/lvyufeng/d2l-mindspore)|《动手学深度学习》的MindSpore实现。供MindSpore学习者配合李沐老师课程使用。|11|2021-11-29|2021-10-28|
|50|[deepjavalibrary/d2l-java-zh](https://github.com/deepjavalibrary/d2l-java-zh)|-|11|2021-12-06|2021-08-16|
|51|[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|
|52|[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|
|53|[raynardj/langhuan](https://github.com/raynardj/langhuan)|Light weight labeling engine|11|2021-09-14|2021-01-15|
|54|[xiaonan8826/jeffindex](https://github.com/xiaonan8826/jeffindex)|-|10|2021-09-08|2021-08-19|
|55|[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|
|56|[ai4kids-tw/Iguana-detection-on-Nvidia-Jetson-Nano-for-monitoring](https://github.com/ai4kids-tw/Iguana-detection-on-Nvidia-Jetson-Nano-for-monitoring)|This page is the Github repo of the open source project "Iguana detection and monitoring" in the Nvidia Jetson community. Using Jetson Nano with Nvidia Deepstream, we can detect iguana and streaming d ...|10|2021-06-27|2021-06-16|
<div align="center">
<p><sub>↓ -- 感谢读者 -- ↓</sub></p>
榜单持续<a href="/content/docs/milestone.md">更新</a>，如有帮助请加星收藏，方便后续浏览，感谢你的支持！
</div>
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<div align="center"><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></div>