Python multi-label-classification

Open-source Python projects categorized as multi-label-classification
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Machine Learning Bert Classification Clustering Classifier
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Top 3 Python multi-label-classification Projects

multi-label-classification

  1. ImageNet21K

    Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

  2. Sevalla

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  3. adaptive-classifier

    A flexible, adaptive classification system for dynamic text classification

    Project mention: Show HN: An adaptive classifier that detects hallucinations in LLM/RAG outputs | news.ycombinator.com | 2025-03-07

    - The model is relatively small, so it won't catch subtle nuanced hallucinations that require deep domain knowledge

    The library's wider goal is to enable adaptive classification for use cases where models need to continuously learn from new examples. We've also built LLM routers and configuration optimizers with it.

    Would love feedback from anyone working on RAG systems or LLM evaluation. What metrics or capabilities would be most useful to you in a hallucination detector?

    Project: https://github.com/codelion/adaptive-classifier

  4. scikit-multilearn-ng

    A new maintained "successor" to scikit-multilearn, a scikit-learn based module for multi-label et. al. classification

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

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Index

What are some of the best open-source multi-label-classification projects in Python? This list will help you:

# Project Stars
1 ImageNet21K 767
2 adaptive-classifier 427
3 scikit-multilearn-ng 22

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