ntumlgroup/LibMultiLabel
A library for multi-class and multi-label classification
This helps data scientists, machine learning engineers, and researchers categorize items into one or more predefined groups. You feed in raw text or other data, and it outputs predictions for which categories your items belong to, along with tools to evaluate how well the system performs. This is ideal for those who need to automatically tag or classify large datasets.
Use this if you need to build and evaluate models that sort data into one or many categories, particularly with text-based information.
Not ideal if you are looking for a no-code solution or a tool for tasks other than classification, like data visualization or forecasting.
Stars
13
Forks
16
Language
Python
License
MIT
Category
Last pushed
Feb 15, 2026
Commits (30d)
0
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