MultifidelityOpt- bohydra
Multifidelity Bayesian optimization with serial and MPI-enabled (parallel, asynchronous) workflows.
Engineering topics
Publications and source records attributed to Grosskopf, Mike [Los Alamos National Laboratory].
Multifidelity Bayesian optimization with serial and MPI-enabled (parallel, asynchronous) workflows.
A lightweight Python client and CLI for interacting with the [EXFOR Web API](https://nds.iaea.org/exfor/x4guide/API/). This tool enables searching, retrieving, and parsing experimental nuclear data — including uncertainties, covariance information, and metadata — while preserving provenance.
This is a python package used to fit an unknown function from data that potential contains systematic biases related to metadata. The model fits the unknown function and uses a Bayesian horseshoe prior model to impose sparsity on the bias terms. This code has been generalized from research code developed for AIACHNE into a package that should have more general application in a wider class of statistical models.