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scikit-learn-contrib avatar

scikit-learn-contrib/skope-rules

0
View on GitHub↗
662 stars·105 forks·Jupyter Notebook·3 viewsskope-rules.readthedocs.io↗

Skope Rules

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Features

  • Explainable AI Libraries - Machine learning library for interpretable rule-based models.

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Open-source alternatives to Skope Rules

Similar open-source projects, ranked by how many features they share with Skope Rules.
  • albermax/innvestigatealbermax avatar

    albermax/innvestigate

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    A toolbox to iNNvestigate neural networks' predictions!

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  • algofairness/blackboxauditingalgofairness avatar

    algofairness/BlackBoxAuditing

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    This repository contains a sample implementation of Gradient Feature Auditing (GFA) meant to be generalizable to most datasets. For more information on the repair process, see our paper on Certifying and Removing Disparate Impact. For information on the full auditing process, see our paper on…

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  • alvinwan/neural-backed-decision-treesalvinwan avatar

    alvinwan/neural-backed-decision-trees

    625View on GitHub↗

    Project Page // Paper // No-code Web Demo // Colab Notebook

    Python
    View on GitHub↗625
  • aerdem4/lofo-importanceaerdem4 avatar

    aerdem4/lofo-importance

    868View on GitHub↗

    Leave One Feature Out Importance

    Python
    View on GitHub↗868
See all 30 alternatives to Skope Rules→

Frequently asked questions

What does scikit-learn-contrib/skope-rules do?

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What are the main features of scikit-learn-contrib/skope-rules?

The main features of scikit-learn-contrib/skope-rules are: Explainable AI Libraries.

What are some open-source alternatives to scikit-learn-contrib/skope-rules?

Open-source alternatives to scikit-learn-contrib/skope-rules include: albermax/innvestigate — A toolbox to iNNvestigate neural networks' predictions! algofairness/blackboxauditing — This repository contains a sample implementation of Gradient Feature Auditing (GFA) meant to be generalizable to most… alvinwan/neural-backed-decision-trees — Project Page  //  Paper  //  No-code Web Demo  //  Colab Notebook. andosa/treeinterpreter — TreeInterpreter. ankurtaly/integrated-gradients — (a.k.a. Path-Integrated Gradients, a.k.a. Axiomatic Attribution for Deep Networks). aerdem4/lofo-importance — Leave One Feature Out Importance.