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  1. Liquefaction-XGBoost-SHAP-Jas-Dodagoudar Liquefaction-XGBoost-SHAP-Jas-Dodagoudar Public

    This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of soils. This model is developed using XGBoost and SHAP.

    Jupyter Notebook 3

  2. awesome-machine-learning-interpretability awesome-machine-learning-interpretability Public

    Forked from jphall663/awesome-machine-learning-interpretability

    A curated list of awesome machine learning interpretability resources.

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  3. xai-series xai-series Public

    Forked from deepfindr/xai-series

    Python 1

  4. xai-aaai2021 xai-aaai2021 Public

    Forked from flecue/xai-aaai2021

    Jupyter Notebook 1

  5. interpret interpret Public

    Forked from interpretml/interpret

    Fit interpretable models. Explain blackbox machine learning.

    C++

  6. GMPE-of-aftershocks GMPE-of-aftershocks Public

    Forked from enosding123/GMPE-of-aftershocks

    Prediction of spectral accelerations of aftershock ground motion with deep learning method