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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 627 79

  2. MERA-steering MERA-steering Public

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

    Jupyter Notebook 3

  3. 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 22 2

  4. MetaQuantus MetaQuantus Public

    MetaQuantus is an XAI performance tool to identify reliable evaluation metrics

    Jupyter Notebook 39 1

  5. GEF GEF Public

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

    Python 7

  6. eval-project eval-project Public

    Jupyter Notebook 4