Library for fast text representation and extreme classification.
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Updated
Dec 20, 2020 - HTML
Library for fast text representation and extreme classification.
Tools for multi-label classification problems.
An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification
Extremely simple and fast extreme multi-class and multi-label classifiers.
Implementation of DeepXML
DECAF: Deep Extreme Classification with Label Features
Deep Neural Network Ensembles for Extreme Classification
ECLARE: Extreme Classification with Label Graph Correlations
GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification
Large Scale Search Index
This is the official codebase for KDD 2021 paper Generalized Zero-Shot Extreme Multi-Label Learning
Introduction Notebook to Extreme Multi-Label Classification problem (XML)
A Rust implementation of CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning
eXtreme MultiLabel Classification tutorial notebook for Machine Learners (with video)
Extweme Wabbit implements Probabilistic Label Tree (PLT) algorithm for extreme multi-label classification in Vowpal Wabbit
A Python text classifier for large-scale multi-class classification using Amazon Bedrock. Supports classification of 1000+ classes with LLM reranking and attribute validation.
Code for DEXA
Project Repository for CS6370 : Information Retrieval offered in Fall 2018
Official Code Base for ICLR 2024 paper Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
Official Code for the paper ELMO : Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces (in ICML 2025)
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