There are 5 repositories under extreme-multi-label-classification topic.
X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification
MATCH: Metadata-Aware Text Classification in A Large Hierarchy (WWW'21)
Tools for multi-label classification problems.
A Rust🦀 implementation of CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning
Official codebase for NeurIPS 2022 paper End-to-end Learning to Index and Search in Large Output Spaces
Extweme Wabbit implements Probabilistic Label Tree (PLT) algorithm for extreme multi-label classification in Vowpal Wabbit
Implementation of Parabel (Partitioned Label Trees for Extreme Classification) in Python
Code used in my bachelors thesis. Contains the implementation of the coarse-grained approach and various figures that were used.
对于多标签分类数据集的预处理。Data preprocessing for multi label classification.