latin-hypercube-sampling

There are 15 repositories under latin-hypercube-sampling topic.

  • SURGroup/UQpy

    UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

    Language:Python2821712981

  • sahilm89/lhsmdu

    This is an implementation of Deutsch and Deutsch, "Latin hypercube sampling with multidimensional uniformity", Journal of Statistical Planning and Inference 142 (2012) , 763-772

    Language:HTML8151217

  • relf/egobox

    Efficient global optimization toolbox in Rust: bayesian optimization, mixture of gaussian processes, sampling methods

    Language:Rust673192

  • bertcarnell/lhs

    Provides a number of methods for creating and augmenting Latin Hypercube Samples and Orthogonal Array Latin Hypercube Samples

    Language:C++443598

  • tstran155/Optimization-of-building-energy-consumption

    This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo package, (3) Genetic algorithm with local search, and (4) Pymoo package to find optimum design parameters and minimum energy consumption.

    Language:Jupyter Notebook23206

  • bertcarnell/lhslib

    Latin hypercube sampling code for the lhs pacakge in the statistical software package R (www.r-project.org)

    Language:C++92131

  • mikediessner/simplelhs

    Simple implementation of Latin Hypercube Sampling.

    Language:Python7102

  • Spogis/DWSIMChemDesign

    ChemDesign: DWSIM Experiment Toolkit

    Language:HTML6102

  • brsynth/icfree-ml

    Design of experiments (DoE) and machine learning packages for the iCFree project

    Language:Python5112

  • jakobbossek/dandy

    Wrapper for sampling methods in R and approximate star discrepancy calculation

    Language:C4481

  • oselin/algorithm_development

    Implementation, analysis and benchmarking of optimization algorithms. Developed in Python and results showed in Jupyter Notebook

    Language:Jupyter Notebook2100

  • maxEntropyProd/hyperBOB

    Optimization using MPI parallel Latin hypercube sampling and BOBYQA

    Language:Fortran0100

  • siavashtab/SampSimu

    Sampling and resampling techniques for random sample generation, estimation, and simulation

    Language:Python0101

  • americast/Latin-Hypercube-Sampling

    Language:Julia20

  • Azizimj/Hyperparameter-robust-simulation-optimization

    Hyperparameter tuning using a robust simulation optimization framework

    Language:Python20