PECOS - Prediction for Enormous and Correlated Spaces
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Updated
Aug 14, 2024 - Python
PECOS - Prediction for Enormous and Correlated Spaces
MATCH: Metadata-Aware Text Classification in A Large Hierarchy (WWW'21)
X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification
Tools for multi-label classification problems.
An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification
code for paper submission "Bonsai - Diverse and Shallow Trees for ExtremeMulti-label Classification"
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
C++ implementation of ProXML for Extreme Multi-label 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
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.
对于多标签分类数据集的预处理。Data preprocessing for multi label classification.
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