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@understandable-machine-intelligence-lab

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  1. understandable-machine-intelligence-lab/Quantus understandable-machine-intelligence-lab/Quantus Public

    Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

    Jupyter Notebook 563 76

  2. understandable-machine-intelligence-lab/NoiseGrad understandable-machine-intelligence-lab/NoiseGrad Public

    NoiseGrad (and its extension NoiseGrad++) is a method to enhance explanations of artificial neural networks by adding noise to model weights

    Python 21 2

  3. MetaQuantus MetaQuantus Public

    MetaQuantus is an XAI performance tool to identify reliable evaluation metrics

    Jupyter Notebook 30 1

  4. sanity-checks-revisited sanity-checks-revisited Public

    [NeurIPS XAIA & Springer] Code and notebooks to paper "A Fresh Look at Sanity Checks for Saliency Maps"

    Jupyter Notebook 25 1