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bert-multi-label-text-classification

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

cs224n-2019

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

lhy_dl_hw

lhy_machine_learning

李宏毅2021春季机器学习课程课件及作业

ml2020

This is to store all homework assigned in ML2020 course.

multi-label-backbone-network

多标签文本分类，多标签分类，文本分类, multi-label, classifier, text classification, BERT, seq2seq，attention, multi-label-classification

roberta_zh

RoBERTa中文预训练模型: RoBERTa for Chinese

text_classification_pytorch

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！

transformer_encoder_pytorch

Transformer模型Encoder原理精讲及其PyTorch逐行实现 笔记 https://www.bilibili.com/video/BV1cP4y1V7GF?spm_id_from=333.337.search-card.all.click&vd_source=afe449886875b2cd7aa123878846a9f3