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@understandable-machine-intelligence-lab

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  1. understandable-machine-intelligence-lab/Quantusunderstandable-machine-intelligence-lab/QuantusPublic

    [JMLR 2023] Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

    Jupyter Notebook 674 93

  2. MERA-steeringMERA-steeringPublic

    [ICML 2025] Code and notebooks for Mechanistic Error Reduction with Abstention (MERA) — for effective and safe language model steering 🔥

    Jupyter Notebook 5 2

  3. understandable-machine-intelligence-lab/NoiseGradunderstandable-machine-intelligence-lab/NoiseGradPublic

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

    Python 22 2

  4. MetaQuantusMetaQuantusPublic

    MetaQuantus is an XAI performance tool to identify reliable evaluation metrics

    Jupyter Notebook 44 3

  5. GEFGEFPublic

    Code and notebooks to paper "Evaluating Interpretable Methods via Geometric Alignment of Functional Distortions" (TMLR, 2025)

    Python 8

  6. eval-projecteval-projectPublic

    Jupyter Notebook 4