data update

This commit is contained in:
GrowingGit
2022-03-16 07:04:18 +08:00
parent 7f359d6d7e
commit 072b71f4ec
180 changed files with 11248 additions and 11254 deletions

View File

@ -1,51 +1,50 @@
<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: 2022-03-15&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: 2022-03-16&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)|-|1034|2022-03-11|2021-04-07|
|1|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|1075|2022-03-15|2021-04-07|
|2|[enpeizhao/CVprojects](https://github.com/enpeizhao/CVprojects)|computer vision projects 计算机视觉等好玩的AI项目|332|2022-03-07|2021-11-22|
|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.|198|2022-03-14|2021-07-21|
|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.|202|2022-03-14|2021-07-21|
|4|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|193|2022-02-01|2021-09-29|
|5|[44670/SourceHanSans-Pixel](https://github.com/44670/SourceHanSans-Pixel)|基于思源黑体的开源像素字体|173|2022-01-03|2021-08-18|
|6|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|165|2022-03-12|2021-07-31|
|6|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|171|2022-03-12|2021-07-31|
|7|[chenghuige/pikachu2](https://github.com/chenghuige/pikachu2)|微信大数据2021 1stqq浏览器2021 3rdmind新闻推荐2020 1stNAIC2020 AI+遥感影像 2nd|109|2021-11-17|2021-11-04|
|8|[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|94|2022-01-12|2021-10-18|
|8|[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|95|2022-01-12|2021-10-18|
|9|[hhiim/Lacan](https://github.com/hhiim/Lacan)|利用四层LSTM生成拉康精神分析黑话用于讽刺但过拟合……|88|2022-02-07|2022-02-04|
|10|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.|88|2022-03-14|2021-10-21|
|11|[datawhalechina/powerful-numpy](https://github.com/datawhalechina/powerful-numpy)|巨硬的NumPy|82|2022-03-04|2021-10-15|
|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。|73|2022-01-25|2021-07-10|
|13|[EricZhu-42/SteamTradingSiteTracker](https://github.com/EricZhu-42/SteamTradingSiteTracker)|Steam 挂刀行情站 —— 24小时自动更新的 BUFF & IGXE & C5 挂刀比例数据 Track cheap Steam Community Market items on buff.163.com, igxe.cn and c5game.com|71|2022-03-06|2021-10-11|
|10|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.|88|2022-03-15|2021-10-21|
|11|[datawhalechina/powerful-numpy](https://github.com/datawhalechina/powerful-numpy)|巨硬的NumPy|83|2022-03-04|2021-10-15|
|12|[EricZhu-42/SteamTradingSiteTracker](https://github.com/EricZhu-42/SteamTradingSiteTracker)|Steam 挂刀行情站 —— 24小时自动更新的 BUFF & IGXE & C5 挂刀比例数据 Track cheap Steam Community Market items on buff.163.com, igxe.cn and c5game.com|73|2022-03-06|2021-10-11|
|13|[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。|73|2022-01-25|2021-07-10|
|14|[dglai/maxp_baseline_model](https://github.com/dglai/maxp_baseline_model)|-|67|2021-11-05|2021-10-06|
|15|[chokkan/python](https://github.com/chokkan/python)|Python早見帳|65|2021-11-28|2021-10-04|
|16|[lingjzhu/charsiu](https://github.com/lingjzhu/charsiu)|Charsiu: A neural phonetic aligner.|64|2022-02-12|2021-08-29|
|16|[lingjzhu/charsiu](https://github.com/lingjzhu/charsiu)|Charsiu: A neural phonetic aligner.|65|2022-02-12|2021-08-29|
|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 ...|52|2022-03-03|2021-03-28|
|18|[hansu1017/WSDM-CUP-2022-Retention-Score-Prediction](https://github.com/hansu1017/WSDM-CUP-2022-Retention-Score-Prediction)|WSDM2022留存预测挑战赛 第1名解决方案|49|2022-02-26|2022-01-28|
|19|[jonatasgrosman/wav2vec2-sprint](https://github.com/jonatasgrosman/wav2vec2-sprint)|-|49|2022-02-22|2021-03-22|
|20|[Prayforhanluo/CTR_Algorithm](https://github.com/Prayforhanluo/CTR_Algorithm)|一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFMxDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,DIN, DIEN ... pytorch, tf2.0|47|2022-01-19|2021-07-08|
|21|[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|45|2021-11-17|2021-07-10|
|21|[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|46|2021-11-17|2021-07-10|
|22|[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 ...|35|2021-12-10|2021-08-01|
|23|[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|32|2021-11-19|2021-09-18|
|24|[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|
|25|[KristiyanVachev/Leaf-Question-Generation](https://github.com/KristiyanVachev/Leaf-Question-Generation)|Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.|30|2022-03-07|2021-10-04|
|26|[PaddlePaddle/PaddleSpatial](https://github.com/PaddlePaddle/PaddleSpatial)|PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle. |30|2021-12-17|2021-07-12|
|26|[PaddlePaddle/PaddleSpatial](https://github.com/PaddlePaddle/PaddleSpatial)|PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle. |30|2022-03-15|2021-07-12|
|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|28|2021-11-08|2021-05-08|
|28|[accomdemy/accomdemy](https://github.com/accomdemy/accomdemy)|Welcome to Accomdemy! 歡迎來到伴伴學!|22|2021-12-24|2021-05-11|
|29|[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|
|30|[xianghuisun/Chinese_KGQA](https://github.com/xianghuisun/Chinese_KGQA)|该仓库目的是实现基于知识图谱的中文问答系统|19|2021-12-22|2021-12-05|
|31|[andy6804tw/2021-13th-ironman](https://github.com/andy6804tw/2021-13th-ironman)|第13屆iT邦幫忙鐵人賽|17|2022-03-11|2021-09-13|
|32|[ShowMeAI-Hub/awesome-AI-cheatsheets](https://github.com/ShowMeAI-Hub/awesome-AI-cheatsheets)|AI与数据科学各类工具库速查表与参考代码|17|2021-12-18|2021-06-06|
|33|[tcmyxc/DL-AndrewNg](https://github.com/tcmyxc/DL-AndrewNg)|吴恩达深度学习2021年空白作业|17|2021-09-13|2021-06-02|
|34|[jackhuntcn/2021ccf_iqiyi_nlp](https://github.com/jackhuntcn/2021ccf_iqiyi_nlp)|-|16|2021-12-03|2021-12-03|
|35|[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|
|36|[codecat0/CV](https://github.com/codecat0/CV)|本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络图像生成网络等并会持续更新|15|2022-01-01|2021-11-10|
|37|[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|
|38|[moliqingwa/carbon_challenge](https://github.com/moliqingwa/carbon_challenge)|捕碳大作战|14|2021-12-22|2021-10-26|
|39|[eval4nlp/SharedTask2021](https://github.com/eval4nlp/SharedTask2021)|-|13|2021-11-23|2021-05-21|
|40|[deepjavalibrary/d2l-java-zh](https://github.com/deepjavalibrary/d2l-java-zh)|-|11|2021-12-06|2021-08-16|
|41|[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|
|33|[jackhuntcn/2021ccf_iqiyi_nlp](https://github.com/jackhuntcn/2021ccf_iqiyi_nlp)|-|16|2021-12-03|2021-12-03|
|34|[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|
|35|[codecat0/CV](https://github.com/codecat0/CV)|本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络图像生成网络等并会持续更新|15|2022-01-01|2021-11-10|
|36|[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|
|37|[moliqingwa/carbon_challenge](https://github.com/moliqingwa/carbon_challenge)|捕碳大作战|14|2021-12-22|2021-10-26|
|38|[eval4nlp/SharedTask2021](https://github.com/eval4nlp/SharedTask2021)|-|13|2021-11-23|2021-05-21|
|39|[deepjavalibrary/d2l-java-zh](https://github.com/deepjavalibrary/d2l-java-zh)|-|11|2021-12-06|2021-08-16|
|40|[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|
<div align="center">
<p><sub>↓ -- 感谢读者 -- ↓</sub></p>