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

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。

transform multi-label classification as sentence pair task, with more training data and information

A flexible, adaptive classification system for dynamic text classification

Pytorch Implementation of GoEmotions 😍😢😱

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

中国法研杯CAIL2019要素抽取任务第三名方案分享

Pytorch implementation of three Multiple Instance Learning or Multi-classification papers

Tools for multi-label classification problems.

Official implementation of "Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer".