Tools for multi-label classification problems.
-
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
Code for DEXA
Add a description, image, and links to the extreme-classification topic page so that developers can more easily learn about it.
To associate your repository with the extreme-classification topic, visit your repo's landing page and select "manage topics."