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@understandable-machine-intelligence-lab

Understandable Machine Intelligence Lab

Understandable Machine Intelligence Lab: We bring #explainable #AI to the next level. Part of @tuberlin #ML Department, funded by @BMBF_Bund #XAI

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  1. Quantus Quantus Public

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

    Jupyter Notebook 563 76

  2. NoiseGrad 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

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Showing 2 of 2 repositories
  • Quantus Public

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

    understandable-machine-intelligence-lab/Quantus’s past year of commit activity
    Jupyter Notebook 563 76 49 (4 issues need help) 3 Updated Nov 9, 2024
  • NoiseGrad Public

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

    understandable-machine-intelligence-lab/NoiseGrad’s past year of commit activity
    Python 21 2 1 1 Updated May 11, 2023

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