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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 586 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 33 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