A Python library for generating contrastive and counterfactual explanations for machine learning models using foil trees.
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
A game theoretic approach to explain the output of any machine learning model.
Lime: Explaining the predictions of any machine learning classifier
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Fit interpretable models. Explain blackbox machine learning.
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