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This page shows the Star History and the facts of 2 to 5 repositories in the Repository Index, side by side. You choose the repositories. The page does not rank them.

Stars gained: From May 10, 2026 to Nov 13, 2026, each from zeroStars gainedFrom May 10, 2026 to Nov 13, 2026, each from zero0510May 10Nov 13, 2026yongzhuo/Keras-TextClassificationlonePatient/BERT-NER-Pytorch
Stars: The star count at the end of each dayStarsThe star count at the end of each day1.8K2K2.2KMay 8Nov 13, 2026yongzhuo/Keras-TextClassificationlonePatient/BERT-NER-Pytorch

Facts

Fact yongzhuo/Keras-TextClassification

中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

lonePatient/BERT-NER-Pytorch

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

Stars 1,8082,234
Net stars, last 30 days 0+1
Largest star day +1 on May 15, 2026+1 on May 13, 2026
Milestone reached in the record NoneNone
Forks 395430
Language PythonPython
License MITMIT
Created Jun 13, 2019Feb 12, 2019
Last push Jun 17, 2024Mar 11, 2023
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases 1 of 3 checks (1 without data)0 of 3 checks (2 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 12, 2026Nov 11, 2026

Topics that all of them have on the Repository Host: bert, nlp, albert. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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