TextCNN, TextRNN, FastText, TextRCNN, BiLSTM Attention, DPCNN and Transformer in Pytorch framework
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Updated
Apr 18, 2023
TextCNN, TextRNN, FastText, TextRCNN, BiLSTM Attention, DPCNN and Transformer in Pytorch framework
This project is about the experimental study on dynamic attention mechanisms in Deep Pyramid CNN (DPCNN) for sentiment analysis.
Physics Neutrino Event Classification with DPCNN Model
GULF: GUided Learning through successive Functional gradient optimization (author implementation of DPCNN included)
Tensorflow2.0 、NLP Papers、Duplicate paper algorithm
All kinds of neural text classifiers implemented by Keras
pytorch implementation of multi-label text classification, includes kinds of models and pretrained. Especially for Chinese preprocessing.
ConText v4: Neural networks for text categorization
OpenTextClassification is all you need for text classification! Open text classification for everyone, enjoy your NLP journey! 这可能是目前为止最全面的开源文本分类项目,支持中英双语、多种模型、多种任务。
TextClf :基于Pytorch/Sklearn的文本分类框架,包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型,通过简单配置即可完成数据处理、模型训练、测试等过程。
中文文本分类任务,基于PyTorch实现(TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention, DPCNN, Transformer,Bert,ERNIE),开箱即用!
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
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