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Multilabel Classification Python Packages

Python packages with the GitHub topic multilabel-classification. Sorted by monthly downloads, with stars and forks.
trent-b
iterative-stratification

scikit-learn cross validators for iterative stratification of multilabel data

131K 899 73
mrapp-ke
mlrl-common

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

7K 7 2
mrapp-ke
mlrl-boomer

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

7K 7 2
mrapp-ke
mlrl-seco

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

6K 7 2
NatLibFi
annif

Annif is a multi-algorithm automated subject indexing tool for libraries, archives and museums.

2K 271 48
sergioburdisso
pyss3

A Python library for Interpretable Machine Learning in Text Classification using the SS3 model, with easy-to-use visualization tools for Explainable AI :octocat:

857 351 43
ASUS-AICS
libmultilabel

This library has been moved to https://github.com/ntumlgroup/LibMultiLabel

732 153 28
mrapp-ke
mlrl-testbed

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

550 7 2
mrapp-ke
mlrl-util

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

542 7 2
mrapp-ke
mlrl-testbed-sklearn

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

433 7 2
mrapp-ke
mlrl-testbed-arff

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

413 7 2
mrapp-ke
mlrl-testbed-slurm

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

349 7 2
lonePatient
torchblocks-chen

A PyTorch-based toolkit for natural language processing

131 160 27
Dru-Mara
evalne

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

127 107 25
gchochla
semantic-f1-score

Semantic F1 Score: Fair Evaluation Under Fuzzy Class Boundaries

106 6 0
mrapp-ke
example-wise-f1-maximizer

A scikit-learn meta-estimator for multi-label classification that aims to maximize the example-wise F1 measure

105 1 0
refefer
fastxml

FastXML / PFastXML / PFastreXML - Implementation of Extreme Multi-label Classification

93 148 46
emilelampe
maestros

Multi-label stratified splits, while preserving group independence. Includes a stratification chart and report.

80 1 0
lonePatient
torchblocks

A PyTorch-based toolkit for natural language processing

43 160 27
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology