An easy-to-use multi-label image dataset generator.

Ensemble-based Multi-Label Neural Network (EMLNN)

leADS: improved metabolic pathway inference based on active dataset subsampling

Metabolic pathway inference using non-negative matrix factorization with community detection

Multi-label Image Classification using Automated Approach.

reMap: relabeling metabolic pathway data with groups to improve prediction outcomes

Tensorflow ProtoNN for Multi-label learning (supports both single/multi-gpu usage)

Metabolic pathway inference using multi-label classification with rich pathway features

scikit-learn compatibel multi-label classification

Scalable Generative Models for Mullti-label Learning with Missing Labels

Official implementation of "An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition", BMVC 2022

[ECCV 2022] Offical implementation of the paper "Acknowledging the Unknown for Multi-label Learning with Single Positive Labels".

Learning to Separate Object Sounds by Watching Unlabeled Video (ECCV 2018)

[ICCV 2021] Official Pytorch implementation for Discriminative Region-based Multi-Label Zero-Shot Learning SOTA results on NUS-WIDE and OpenImages

A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN

Convolutional Neural Network based on Hierarchical Category Structure for Multi-label Short Text Categorization

Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"