对于多标签分类数据集的预处理。Data preprocessing for multi label classification.

Code used in my bachelors thesis. Contains the implementation of the coarse-grained approach and various figures that were used.

A software package for large-scale linear multilabel classification.

This repository contains the code from the paper DiSMEC - Distributed Sparse Machines for Extreme Multi-label Classification

Implementation of Parabel (Partitioned Label Trees for Extreme Classification) in Python

C++ implementation of ProXML for Extreme Multi-label Classification

Extweme Wabbit implements Probabilistic Label Tree (PLT) algorithm for extreme multi-label classification in Vowpal Wabbit

Official codebase for NeurIPS 2022 paper End-to-end Learning to Index and Search in Large Output Spaces

A Rust🦀 implementation of CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning

code for paper submission "Bonsai - Diverse and Shallow Trees for ExtremeMulti-label Classification"

An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification

Tools for multi-label classification problems.

X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

MATCH: Metadata-Aware Text Classification in A Large Hierarchy (WWW'21)

PECOS - Prediction for Enormous and Correlated Spaces