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  • University of Michigan
  • Ann Arbor, MI

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  1. gpextreme gpextreme Public

    A generalized likelihood-weighted optimal sampling algorithm for rare-event probability quantification

    Jupyter Notebook

  2. gpship gpship Public

    Experimental design for exceeding probability of ship responses

    Jupyter Notebook 1 1

  3. VHGPR VHGPR Public

    Variational heteroscedastic Gaussian process regression

    Jupyter Notebook 7 1

  4. MFGPextreme MFGPextreme Public

    Multi-fidelity Bayesian experimental design framework

    Python 2

  5. HGPextreme HGPextreme Public

    Heteroscedastic Bayesian experimental design for extreme-event statistics

    Jupyter Notebook