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XAI

101 items from altamiracorp/awesome-xai ★198

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    shap github.com

    A unified approach to explain the output of any machine learning model.

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    Shapash github.com
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    EthicalML/xai github.com
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    PAIR-code/what-if-tool github.com
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    Naive Bayes en.wikipedia.org
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    Logistic Regression en.wikipedia.org
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    IOFP arxiv.org

    (FATML Workshop) Performs feature ranking to analyse black-box models

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    Linear Regression en.wikipedia.org
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    k-nearest neighbor en.wikipedia.org
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    Decision Trees en.wikipedia.org
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    Explainable Boosting Machine youtube.com
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    Debate: Interpretability is necessary for ML youtube.com
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    Tim Miller twitter.com
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    ICE tandfonline.com
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    DTD sciencedirect.com
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    Conj Rules sciencedirect.com
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    NID sciencedirect.com
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    Krishnan, et. al. sciencedirect.com
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    ALE rss.onlinelibrary.wiley.com
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    Tree Metrics researchgate.net
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    PDP projecteuclid.org
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    IG proceedings.mlr.press
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    Xu, et. al. proceedings.mlr.press
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    TCAV openreview.net
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    GradCAM openaccess.thecvf.com
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    Fong, et. al. openaccess.thecvf.com
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    Anchors ojs.aaai.org
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    Gibbons, et. al. ncbi.nlm.nih.gov
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    Stop Explaining Black Box Machine Learning Models for High States Decisions and Use Interpretable Models Instead nature.com
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    Rich Caruana microsoft.com
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