Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Text_classification | 7,628 | 7 months ago | 45 | mit | Python | |||||
all kinds of text classification models and more with deep learning | ||||||||||
Keras Textclassification | 1,641 | 5 months ago | 9 | December 19, 2020 | 1 | mit | Python | |||
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 | ||||||||||
Bert_language_understanding | 886 | 5 years ago | 9 | Python | ||||||
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN | ||||||||||
Textclassification Keras | 649 | 3 years ago | 13 | mit | Python | |||||
Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc. | ||||||||||
Delft | 379 | 1 | 3 months ago | 21 | November 29, 2023 | 33 | apache-2.0 | Python | ||
a Deep Learning Framework for Text | ||||||||||
Multi Label Text Classification | 369 | 3 years ago | 4 | apache-2.0 | Python | |||||
About Muti-Label Text Classification Based on Neural Network. | ||||||||||
Text Classification Models Pytorch | 309 | 5 years ago | 1 | mit | Python | |||||
Implementation of State-of-the-art Text Classification Models in Pytorch | ||||||||||
Ai_law | 229 | 5 years ago | 1 | Python | ||||||
all kinds of baseline models for long text classificaiton( text categorization) | ||||||||||
Jfasttext | 215 | 8 | 3 | a year ago | 5 | May 29, 2023 | 46 | other | Java | |
Java interface for fastText | ||||||||||
Shallowlearn | 196 | 7 years ago | 5 | December 30, 2016 | 17 | lgpl-3.0 | Python | |||
An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn. |