Tools for multi-label classification problems.
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Updated
Mar 1, 2024 - Python
Tools for multi-label classification problems.
Library for fast text representation and extreme classification.
Deep Neural Network Ensembles for Extreme Classification
Implementation of DeepXML
An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification
DECAF: Deep Extreme Classification with Label Features
GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification
ECLARE: Extreme Classification with Label Graph Correlations
Extremely simple and fast extreme multi-class and multi-label classifiers.
Introduction Notebook to Extreme Multi-Label Classification problem (XML)
Large Scale Search Index
eXtreme MultiLabel Classification tutorial notebook for Machine Learners (with video)
A Rust🦀 implementation of CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning
This is the official codebase for KDD 2021 paper Generalized Zero-Shot Extreme Multi-Label Learning
Extweme Wabbit implements Probabilistic Label Tree (PLT) algorithm for extreme multi-label classification in Vowpal Wabbit
Consistent Optimization of Label-wise Utilities in Multi-label classificatioN
Project Repository for CS6370 : Information Retrieval offered in Fall 2018
eXtreme Classification, classifying gigabytes of natural language text in minutes
Official Code Base for ICLR 2024 paper Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
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