andre/GitHub-Chinese-Top-Charts
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

data update

Browse Source
This commit is contained in:
GrowingGit
2022-03-07 07:02:40 +08:00
parent 3ba633064d
commit 3a9ba0f598
180 changed files with 9603 additions and 9612 deletions
Download Patch File Download Diff File Expand all files Collapse all files

96
content/charts/growth/software/Jupyter-Notebook.md
View File

@ -1,49 +1,49 @@
<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>
# 中文增速榜 > 软件类 > Jupyter Notebook
<sub>数据更新: 2022-03-06&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: 2022-03-07&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|Average daily growth|Updated|
|:-|:-|:-|:-|:-|:-|
|1|[MorvanZhou/PyTorch-Tutorial](https://github.com/MorvanZhou/PyTorch-Tutorial)|Build your neural network easy and fast, 莫烦Python中文教学|6608|4|2022-01-20|
|2|[roboticcam/machine-learning-notes](https://github.com/roboticcam/machine-learning-notes)|My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接|5665|4|2022-03-05|
|3|[ieee8023/covid-chestxray-dataset](https://github.com/ieee8023/covid-chestxray-dataset)|We are building an open database of COVID-19 cases with chest X-ray or CT images.|2783|4|2021-10-14|
|4|[NVIDIA/NeMo](https://github.com/NVIDIA/NeMo)|NeMo: a toolkit for conversational AI|3934|4|2022-03-05|
|5|[ljpzzz/machinelearning](https://github.com/ljpzzz/machinelearning)|My blogs and code for machine learning. http://cnblogs.com/pinard|6238|3|2021-10-01|
|6|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|902|3|2022-03-04|
|7|[cleverhans-lab/cleverhans](https://github.com/cleverhans-lab/cleverhans)|An adversarial example library for constructing attacks, building defenses, and benchmarking both|5421|3|2022-01-23|
|8|[wangshub/RL-Stock](https://github.com/wangshub/RL-Stock)|📈 如何用深度强化学习自动炒股|2176|3|2022-02-11|
|1|[MorvanZhou/PyTorch-Tutorial](https://github.com/MorvanZhou/PyTorch-Tutorial)|Build your neural network easy and fast, 莫烦Python中文教学|6614|4|2022-01-20|
|2|[roboticcam/machine-learning-notes](https://github.com/roboticcam/machine-learning-notes)|My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接|5667|4|2022-03-06|
|3|[ieee8023/covid-chestxray-dataset](https://github.com/ieee8023/covid-chestxray-dataset)|We are building an open database of COVID-19 cases with chest X-ray or CT images.|2782|4|2021-10-14|
|4|[NVIDIA/NeMo](https://github.com/NVIDIA/NeMo)|NeMo: a toolkit for conversational AI|3937|4|2022-03-06|
|5|[ljpzzz/machinelearning](https://github.com/ljpzzz/machinelearning)|My blogs and code for machine learning. http://cnblogs.com/pinard|6242|3|2021-10-01|
|6|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|904|3|2022-03-04|
|7|[cleverhans-lab/cleverhans](https://github.com/cleverhans-lab/cleverhans)|An adversarial example library for constructing attacks, building defenses, and benchmarking both|5422|3|2022-01-23|
|8|[wangshub/RL-Stock](https://github.com/wangshub/RL-Stock)|📈 如何用深度强化学习自动炒股|2174|3|2022-02-11|
|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……|85|3|2022-02-07|
|10|[enpeizhao/CVprojects](https://github.com/enpeizhao/CVprojects)|computer vision projects 计算机视觉等好玩的AI项目|321|3|2022-03-05|
|11|[yoyoyo-yo/Gasyori100knock](https://github.com/yoyoyo-yo/Gasyori100knock)|image processing codes to understand algorithm|2006|2|2022-01-20|
|10|[enpeizhao/CVprojects](https://github.com/enpeizhao/CVprojects)|computer vision projects 计算机视觉等好玩的AI项目|322|3|2022-03-05|
|11|[yoyoyo-yo/Gasyori100knock](https://github.com/yoyoyo-yo/Gasyori100knock)|image processing codes to understand algorithm|2007|2|2022-01-20|
|12|[matheusfacure/python-causality-handbook](https://github.com/matheusfacure/python-causality-handbook)|Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis. |1100|2|2022-01-31|
|13|[marcotcr/checklist](https://github.com/marcotcr/checklist)|Beyond Accuracy: Behavioral Testing of NLP models with CheckList|1602|2|2022-02-13|
|13|[marcotcr/checklist](https://github.com/marcotcr/checklist)|Beyond Accuracy: Behavioral Testing of NLP models with CheckList|1603|2|2022-02-13|
|14|[AIZOOTech/FaceMaskDetection](https://github.com/AIZOOTech/FaceMaskDetection)|开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.|1750|2|2022-01-05|
|15|[snakers4/silero-models](https://github.com/snakers4/silero-models)|Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple|1259|2|2022-02-28|
|15|[snakers4/silero-models](https://github.com/snakers4/silero-models)|Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple|1262|2|2022-02-28|
|16|[juntang-zhuang/Adabelief-Optimizer](https://github.com/juntang-zhuang/Adabelief-Optimizer)|Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"|964|2|2022-03-05|
|17|[amaiya/ktrain](https://github.com/amaiya/ktrain)|ktrain is a Python library that makes deep learning and AI more accessible and easier to apply|960|1|2022-03-05|
|18|[TheEconomist/big-mac-data](https://github.com/TheEconomist/big-mac-data)|Data and methodology for the Big Mac index|1267|1|2022-02-04|
|18|[TheEconomist/big-mac-data](https://github.com/TheEconomist/big-mac-data)|Data and methodology for the Big Mac index|1268|1|2022-02-04|
|19|[fastai/course20](https://github.com/fastai/course20)|Deep Learning for Coders, 2020, the website|734|1|2022-02-25|
|20|[gengyanlei/fire-smoke-detect-yolov4](https://github.com/gengyanlei/fire-smoke-detect-yolov4)|fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测|647|1|2021-10-29|
|21|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|137|1|2022-03-01|
|22|[FinMind/FinMind](https://github.com/FinMind/FinMind)|Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主)，每天更新 https://finmind.github.io/|1679|1|2022-01-21|
|21|[datawhalechina/thorough-pytorch](https://github.com/datawhalechina/thorough-pytorch)|-|139|1|2022-03-01|
|22|[FinMind/FinMind](https://github.com/FinMind/FinMind)|Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主)，每天更新 https://finmind.github.io/|1681|1|2022-01-21|
|23|[lxztju/pytorch_classification](https://github.com/lxztju/pytorch_classification)|利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码|800|1|2021-11-26|
|24|[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|107|1|2021-11-17|
|25|[datawhalechina/powerful-numpy](https://github.com/datawhalechina/powerful-numpy)|巨硬的NumPy|72|1|2022-03-04|
|26|[exacity/simplified-deeplearning](https://github.com/exacity/simplified-deeplearning)|Simplified implementations of deep learning related works|2398|1|2021-10-06|
|27|[hangsz/pandas-tutorial](https://github.com/hangsz/pandas-tutorial)|适合初级到中级晋升者，有了体系之后就看熟练度了。|1430|1|2022-01-15|
|28|[wowchemy/starter-hugo-academic](https://github.com/wowchemy/starter-hugo-academic)|🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.|1885|1|2022-02-27|
|28|[wowchemy/starter-hugo-academic](https://github.com/wowchemy/starter-hugo-academic)|🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.|1888|1|2022-03-06|
|29|[4paradigm/AutoX](https://github.com/4paradigm/AutoX)|AutoX is an efficient automl tool, which is mainly aimed at data mining competitions with tabular data.|199|1|2022-03-05|
|30|[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|85|1|2022-01-12|
|31|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.|81|1|2022-03-05|
|30|[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|86|1|2022-01-12|
|31|[ni1o1/transbigdata](https://github.com/ni1o1/transbigdata)|A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.|81|1|2022-03-06|
|32|[Tiiiger/bert_score](https://github.com/Tiiiger/bert_score)|BERT score for text generation|836|1|2021-12-10|
|33|[zhongqiangwu960812/AI-RecommenderSystem](https://github.com/zhongqiangwu960812/AI-RecommenderSystem)|该仓库尝试整理推荐系统领域的一些经典算法模型|388|1|2022-02-22|
|34|[eastmountyxz/ImageProcessing-Python](https://github.com/eastmountyxz/ImageProcessing-Python)|该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。|863|1|2021-11-08|
|35|[d2l-ai/d2l-zh-pytorch-slides](https://github.com/d2l-ai/d2l-zh-pytorch-slides)|Pytorch版代码幻灯片|278|1|2022-01-17|
|35|[d2l-ai/d2l-zh-pytorch-slides](https://github.com/d2l-ai/d2l-zh-pytorch-slides)|Pytorch版代码幻灯片|279|1|2022-01-17|
|36|[44670/SourceHanSans-Pixel](https://github.com/44670/SourceHanSans-Pixel)|基于思源黑体的开源像素字体|172|1|2022-01-03|
|37|[zslucky/awesome-AI-books](https://github.com/zslucky/awesome-AI-books)|Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning|982|1|2022-02-07|
|38|[LinXueyuanStdio/LaTeX_OCR_PRO](https://github.com/LinXueyuanStdio/LaTeX_OCR_PRO)|:art: 数学公式识别增强版：中英文手写印刷公式、支持初级符号推导（数据结构基于 LaTeX 抽象语法树）Math Formula OCR Pro, supports handwrite, Chinese-mixed formulas and simple symbol reasoning (based on LaTeX AST). |544|1|2022-02-21|
|39|[miracleyoo/pytorch-lightning-template](https://github.com/miracleyoo/pytorch-lightning-template)|An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all ...|220|1|2022-03-01|
|37|[zslucky/awesome-AI-books](https://github.com/zslucky/awesome-AI-books)|Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning|984|1|2022-02-07|
|38|[LinXueyuanStdio/LaTeX_OCR_PRO](https://github.com/LinXueyuanStdio/LaTeX_OCR_PRO)|:art: 数学公式识别增强版：中英文手写印刷公式、支持初级符号推导（数据结构基于 LaTeX 抽象语法树）Math Formula OCR Pro, supports handwrite, Chinese-mixed formulas and simple symbol reasoning (based on LaTeX AST). |546|1|2022-02-21|
|39|[miracleyoo/pytorch-lightning-template](https://github.com/miracleyoo/pytorch-lightning-template)|An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all ...|221|1|2022-03-01|
|40|[hansu1017/WSDM2022-Retention-Score-Prediction](https://github.com/hansu1017/WSDM2022-Retention-Score-Prediction)|WSDM2022留存预测挑战赛 第1名解决方案|49|1|2022-02-26|
|41|[tugstugi/dl-colab-notebooks](https://github.com/tugstugi/dl-colab-notebooks)|Try out deep learning models online on Google Colab|1308|1|2022-01-13|
|42|[chokkan/mlnote](https://github.com/chokkan/mlnote)|機械学習帳|192|1|2022-02-01|
@ -87,7 +87,7 @@
|80|[cviaai/VEINCV-RL](https://github.com/cviaai/VEINCV-RL)|Near-Infrared-to-Visible Vein Imaging via Convolutional Neural Networks and Reinforcement Learning|16|0|2022-02-15|
|81|[vespa-engine/sample-apps](https://github.com/vespa-engine/sample-apps)|Repository of sample applications|157|0|2022-03-04|
|82|[duoergun0729/adversarial_examples](https://github.com/duoergun0729/adversarial_examples)|对抗样本|165|0|2022-02-11|
|83|[chokkan/python](https://github.com/chokkan/python)|Python早見帳|57|0|2021-11-28|
|83|[chokkan/python](https://github.com/chokkan/python)|Python早見帳|58|0|2021-11-28|
|84|[zhouwei713/data_analysis](https://github.com/zhouwei713/data_analysis)|一些爬虫和数据分析相关实战练习|307|0|2022-01-26|
|85|[lyj555/SelfLearning](https://github.com/lyj555/SelfLearning)|该项目主要是自学过程中对于一些知识点的整理，项目整体分为四部分，分别是算法、工程、工具和数学知识。算法部分主要是常用的机器学习（LR、SVM、树模型、XGBoost、LightGBM和CatBoost等）和深度学习算法（NLP和CV以及一些基础知识），工程部分主要是spark和hive|13|0|2021-12-06|
|86|[andy6804tw/2020-12th-ironman](https://github.com/andy6804tw/2020-12th-ironman)|[全民瘋AI系列] 第12屆iT邦幫忙鐵人賽 影片教學組 |91|0|2021-09-27|
@ -100,7 +100,7 @@
|93|[Glacier-Ice/Covid-19-data-science](https://github.com/Glacier-Ice/Covid-19-data-science)|Welcome to Glacier Data Project. A post-wuhan2020 project for data science|147|0|2022-02-13|
|94|[deepjavalibrary/d2l-java-zh](https://github.com/deepjavalibrary/d2l-java-zh)|-|11|0|2021-12-06|
|95|[xjtulyc/lyc_code](https://github.com/xjtulyc/lyc_code)|-|11|0|2021-11-29|
|96|[X-lab2017/open-digger](https://github.com/X-lab2017/open-digger)|GitHub analysis tools|91|0|2022-03-05|
|96|[X-lab2017/open-digger](https://github.com/X-lab2017/open-digger)|GitHub analysis tools|91|0|2022-03-06|
|97|[dglai/maxp_baseline_model](https://github.com/dglai/maxp_baseline_model)|-|67|0|2021-11-05|
|98|[Quantum-Dynamics-Hub/libra-code](https://github.com/Quantum-Dynamics-Hub/libra-code)|-|26|0|2022-03-02|
|99|[neozhu/smartadmin.core.urf](https://github.com/neozhu/smartadmin.core.urf)|Domain Driven Design (DDD) lightweight development architecture(support .net 5.0)|97|0|2021-09-13|
@ -161,13 +161,13 @@
|154|[makelove/True_Artificial_Intelligence](https://github.com/makelove/True_Artificial_Intelligence)|真AI人工智能|42|0|2022-03-02|
|155|[genkuroki/Statistics](https://github.com/genkuroki/Statistics)|Notes of Statistics|18|0|2022-02-18|
|156|[aws-samples/smart-cooler](https://github.com/aws-samples/smart-cooler)|-|22|0|2022-02-14|
|157|[czczup/UrbanRegionFunctionClassification](https://github.com/czczup/UrbanRegionFunctionClassification)|第五届百度西安交大大数据竞赛 城市区域功能分类 Baseline|81|0|2021-12-16|
|157|[czczup/UrbanRegionFunctionClassification](https://github.com/czczup/UrbanRegionFunctionClassification)|第五届百度西安交大大数据竞赛 城市区域功能分类 Baseline|82|0|2021-12-16|
|158|[dataforgoodfr/batch7_satellite_ges](https://github.com/dataforgoodfr/batch7_satellite_ges)|-|14|0|2021-09-28|
|159|[baidu/Quanlse](https://github.com/baidu/Quanlse)|-|28|0|2021-12-22|
|160|[richieBao/Urban-Spatial-Data-Analysis_python](https://github.com/richieBao/Urban-Spatial-Data-Analysis_python)|The second phase of <城市空间数据分析方法——PYTHON语言实现>|20|0|2021-12-13|
|161|[nwpc-oper/reki](https://github.com/nwpc-oper/reki)|A data tool in CEMC/CMA.|10|0|2021-11-24|
|162|[lukewys/SunXiaoChuan-spider](https://github.com/lukewys/SunXiaoChuan-spider)|A scrapper and analyze result on weibos of SunXiaoChuan. 孙笑川微博的爬虫与分析|34|0|2022-03-02|
|163|[avantcontra/coding-druid](https://github.com/avantcontra/coding-druid)|"Coding Druid" series is my horizontal programming practice notes, each part around a topic (mathematical physics electronic graphics sound...), implemented in several programming languages.|64|0|2021-10-01|
|163|[avantcontra/coding-druid](https://github.com/avantcontra/coding-druid)|"Coding Druid" series is my horizontal programming practice notes, each part around a topic (mathematical physics electronic graphics sound...), implemented in several programming languages.|65|0|2021-10-01|
|164|[Yefee/xMCA](https://github.com/Yefee/xMCA)|Maximum Covariance Analysis in xarray for Climate Science|41|0|2021-11-07|
|165|[brain-zhang/xianglong](https://github.com/brain-zhang/xianglong)|资产配置方案|179|0|2021-09-07|
|166|[HuichuanLI/play-with-graph-algorithme](https://github.com/HuichuanLI/play-with-graph-algorithme)|python实现的初级图论算法库:环检测问题,桥和割点,最小生成树,最短路径,欧拉路径,哈密尔顿路径,拓扑排序，最大流问题，匹配问题(匈牙利算法)|24|0|2021-09-16|
@ -181,30 +181,30 @@
|174|[mindspore-ai/docs](https://github.com/mindspore-ai/docs)|MindSpore document|145|0|2022-03-05|
|175|[Daya-Jin/ML_for_learner](https://github.com/Daya-Jin/ML_for_learner)|Implementations of the machine learning algorithm with Python and numpy|72|0|2021-10-20|
|176|[PanJinquan/python-learning-notes](https://github.com/PanJinquan/python-learning-notes)|代码|26|0|2022-01-13|
|177|[LogicJake/competition_baselines](https://github.com/LogicJake/competition_baselines)|开源的各大比赛baseline|284|0|2021-12-28|
|177|[LogicJake/competition_baselines](https://github.com/LogicJake/competition_baselines)|开源的各大比赛baseline|285|0|2021-12-28|
|178|[DeepTrial/Retina-VesselNet](https://github.com/DeepTrial/Retina-VesselNet)|A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2|221|0|2022-02-09|
|179|[simbafl/Data-analysis](https://github.com/simbafl/Data-analysis)|数据分析，挖掘建模。|159|0|2022-01-02|
|180|[Sanzo00/ML-homework](https://github.com/Sanzo00/ML-homework)|吴恩达机器学习作业|16|0|2021-10-18|
|181|[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|47|0|2021-09-04|
|182|[tcmyxc/DL-AndrewNg](https://github.com/tcmyxc/DL-AndrewNg)|吴恩达深度学习2021年空白作业|17|0|2021-09-13|
|183|[blueapplehe/car_identify](https://github.com/blueapplehe/car_identify)|汽车识别，汽车车型识别，汽车品牌识别，车辆识别，深度学习，神经网络|93|0|2022-01-28|
|184|[lsh1994/remote_sensing_pretrained_models](https://github.com/lsh1994/remote_sensing_pretrained_models)|Remote Sensing pretrained weights with CNN finetune（PyTorch）|11|0|2021-09-17|
|185|[Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB](https://github.com/Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB)|This is a repository about PCB defect detection.|252|0|2022-02-10|
|186|[PaddlePaddle/PaddleSpatial](https://github.com/PaddlePaddle/PaddleSpatial)|PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle. |29|0|2021-12-17|
|187|[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|0|2021-12-16|
|188|[lures2019/lures2020-demos](https://github.com/lures2019/lures2020-demos)|lures2020年写的一些项目和程序|26|0|2021-09-11|
|189|[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|0|2022-01-01|
|190|[EMUNES/Auto-Subtitle-File-Generation](https://github.com/EMUNES/Auto-Subtitle-File-Generation)|Generate subtitle files with timelines in an automatic way.|25|0|2021-11-09|
|191|[arjunmann73/Data-Analytics-Projects](https://github.com/arjunmann73/Data-Analytics-Projects)|:mag_right: Data analysis with real world data sets using Python :mag:|102|0|2021-10-16|
|192|[HuichuanLI/Recommand-Algorithme](https://github.com/HuichuanLI/Recommand-Algorithme)|推荐算法实战(Recommend algorithm)|37|0|2021-10-31|
|193|[Masterchiefm/Thirdparty-huawei-Share-OneHop](https://github.com/Masterchiefm/Thirdparty-huawei-Share-OneHop)|制作第三方华为一碰传标签/已完成历史使命，擦除标签的方案已整合入@汉客儿 最新工具。|96|0|2022-02-27|
|194|[moeheart/jx3bla](https://github.com/moeheart/jx3bla)|JX3 Battle Log Analyse|10|0|2021-12-06|
|195|[zll17/Neural_Topic_Models](https://github.com/zll17/Neural_Topic_Models)|Implementation of topic models based on neural network approaches.|233|0|2021-11-12|
|196|[SocratesAcademy/datascience](https://github.com/SocratesAcademy/datascience)|Introduction to Python Programming for Data Science|30|0|2022-01-13|
|197|[collective-action/tech](https://github.com/collective-action/tech)|Documentation of all collective action from tech workers.|186|0|2022-03-05|
|198|[BohriumKwong/Deep_learning_in_WSI](https://github.com/BohriumKwong/Deep_learning_in_WSI)|将深度学习用于病理图像分析以及Openslide和OpenCV使用入門資料|40|0|2022-02-09|
|199|[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|14|0|2021-12-18|
|200|[leolle/deep_learning](https://github.com/leolle/deep_learning)|projects about NLP knowledge graph, web crawling, word embedding, entity&relation extraction.|11|0|2021-11-10|
|181|[tcmyxc/DL-AndrewNg](https://github.com/tcmyxc/DL-AndrewNg)|吴恩达深度学习2021年空白作业|17|0|2021-09-13|
|182|[blueapplehe/car_identify](https://github.com/blueapplehe/car_identify)|汽车识别，汽车车型识别，汽车品牌识别，车辆识别，深度学习，神经网络|93|0|2022-01-28|
|183|[lsh1994/remote_sensing_pretrained_models](https://github.com/lsh1994/remote_sensing_pretrained_models)|Remote Sensing pretrained weights with CNN finetune（PyTorch）|11|0|2021-09-17|
|184|[Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB](https://github.com/Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB)|This is a repository about PCB defect detection.|253|0|2022-02-10|
|185|[PaddlePaddle/PaddleSpatial](https://github.com/PaddlePaddle/PaddleSpatial)|PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle. |29|0|2021-12-17|
|186|[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|0|2021-12-16|
|187|[lures2019/lures2020-demos](https://github.com/lures2019/lures2020-demos)|lures2020年写的一些项目和程序|26|0|2021-09-11|
|188|[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|0|2022-01-01|
|189|[EMUNES/Auto-Subtitle-File-Generation](https://github.com/EMUNES/Auto-Subtitle-File-Generation)|Generate subtitle files with timelines in an automatic way.|26|0|2021-11-09|
|190|[arjunmann73/Data-Analytics-Projects](https://github.com/arjunmann73/Data-Analytics-Projects)|:mag_right: Data analysis with real world data sets using Python :mag:|102|0|2021-10-16|
|191|[HuichuanLI/Recommand-Algorithme](https://github.com/HuichuanLI/Recommand-Algorithme)|推荐算法实战(Recommend algorithm)|37|0|2021-10-31|
|192|[Masterchiefm/Thirdparty-huawei-Share-OneHop](https://github.com/Masterchiefm/Thirdparty-huawei-Share-OneHop)|制作第三方华为一碰传标签/已完成历史使命，擦除标签的方案已整合入@汉客儿 最新工具。|96|0|2022-02-27|
|193|[moeheart/jx3bla](https://github.com/moeheart/jx3bla)|JX3 Battle Log Analyse|10|0|2021-12-06|
|194|[zll17/Neural_Topic_Models](https://github.com/zll17/Neural_Topic_Models)|Implementation of topic models based on neural network approaches.|233|0|2021-11-12|
|195|[SocratesAcademy/datascience](https://github.com/SocratesAcademy/datascience)|Introduction to Python Programming for Data Science|30|0|2022-01-13|
|196|[collective-action/tech](https://github.com/collective-action/tech)|Documentation of all collective action from tech workers.|186|0|2022-03-06|
|197|[BohriumKwong/Deep_learning_in_WSI](https://github.com/BohriumKwong/Deep_learning_in_WSI)|将深度学习用于病理图像分析以及Openslide和OpenCV使用入門資料|40|0|2022-02-09|
|198|[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|14|0|2021-12-18|
|199|[leolle/deep_learning](https://github.com/leolle/deep_learning)|projects about NLP knowledge graph, web crawling, word embedding, entity&relation extraction.|11|0|2021-11-10|
|200|[zhaihulu/DataScience](https://github.com/zhaihulu/DataScience)|-|21|0|2021-10-12|
<div align="center">
<p><sub>↓ -- 感谢读者 -- ↓</sub></p>