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  1. boundary_thickness boundary_thickness Public

    [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"

    Python 19 1

  2. loss_landscape_taxonomy loss_landscape_taxonomy Public

    [NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228

    Python 19 9

  3. Generalization_metrics_for_NLP Generalization_metrics_for_NLP Public

    [KDD 2023] code for "Test accuracy vs. generalization gap: model selection in NLP without accessing training or testing data" https://arxiv.org/pdf/2202.02842.pdf

    Jupyter Notebook 12 2

  4. Coded_Elastic_Computing_On_CREDENCE Coded_Elastic_Computing_On_CREDENCE Public

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  5. WeightWatcher WeightWatcher Public

    Forked from CalculatedContent/WeightWatcher

    The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

    Jupyter Notebook

  6. powerlaw powerlaw Public

    Forked from jeffalstott/powerlaw

    Jupyter Notebook