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asl

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper

bert-multi-label-text-classification

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

classifier_multi_label

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

classifier_multi_label_textcnn

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

glocalkd

machine-translation-by-transformer

基于Tensorflow2.0和Transformer实现机器翻译代码详解

marlspectrumsharingv2x

Spectrum sharing in vehicular networks based on multi-agent reinforcement learning, IEEE Journal on Selected Areas in Communications

multi-label-text-classification

About Muti-Label Text Classification Based on Neural Network.

nlp_textclassifier

基于word2vec预训练词向量； textCNN 模型 ；charCNN 模型 ；Bi-LSTM模型；Bi-LSTM + Attention 模型 ；Transformer 模型 ；ELMo 预训练模型 ；BERT 预训练模型的文本分类项目

python-100-days

Python - 100天从新手到大师

reformer-pytorch

Reformer, the efficient Transformer, in Pytorch

text_classification

使用rnn,lstm,gru,fasttext,textcnn,dpcnn,rnn-att,lstm-att,兼容huggleface/transformers，以及以transforemrs作为词嵌入模型，后面接入cnn、rnn、attention等等做文本分类。以及各个模型的对比