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This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
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
Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper
Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper
Deep neural network framework for multi-label text classification
Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger
Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.
About Muti-Label Text Classification Based on Neural Network.
Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)
A pytorch implemented classifier for Multiple-Label classification
General Multi-label Image Classification with Transformers
Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"
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。
Open source Machine Learning library written in Java
transform multi-label classification as sentence pair task, with more training data and information
Pytorch Implementation of GoEmotions 😍😢😱
A flexible, adaptive classification system for dynamic text classification
This library has been moved to https://github.com/ntumlgroup/LibMultiLabel
multi-label,classifier,text classification,多标签文本分类,文本分类,BERT,ALBERT,multi-label-classification