-
Updated
Jul 21, 2018 - Julia
latin-hypercube-sampling
Here are 15 public repositories matching this topic...
Sampling and resampling techniques for random sample generation, estimation, and simulation
-
Updated
May 15, 2020 - Python
This is an implementation of Deutsch and Deutsch, "Latin hypercube sampling with multidimensional uniformity", Journal of Statistical Planning and Inference 142 (2012) , 763-772
-
Updated
Aug 7, 2020 - HTML
Optimization using MPI parallel Latin hypercube sampling and BOBYQA
-
Updated
Aug 11, 2020 - Fortran
Hyperparameter tuning using a robust simulation optimization framework
-
Updated
May 18, 2021 - Python
Latin hypercube sampling code for the lhs pacakge in the statistical software package R (www.r-project.org)
-
Updated
Mar 19, 2022 - C++
Wrapper for sampling methods in R and approximate star discrepancy calculation
-
Updated
Mar 15, 2023 - C
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.
-
Updated
Mar 15, 2023 - Jupyter Notebook
Simple implementation of Latin Hypercube Sampling.
-
Updated
Apr 18, 2023 - Python
Implementation, analysis and benchmarking of optimization algorithms. Developed in Python and results showed in Jupyter Notebook
-
Updated
Aug 19, 2023 - Jupyter Notebook
Design of experiments (DoE) and machine learning packages for the iCFree project
-
Updated
Mar 7, 2024 - Jupyter Notebook
ChemDesign: DWSIM Experiment Toolkit
-
Updated
Mar 11, 2024 - HTML
Provides a number of methods for creating and augmenting Latin Hypercube Samples and Orthogonal Array Latin Hypercube Samples
-
Updated
May 27, 2024 - C++
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
-
Updated
May 31, 2024 - Python
Efficient global optimization toolbox in Rust: bayesian optimization, mixture of gaussian processes, sampling methods
-
Updated
Jun 3, 2024 - Rust
Improve this page
Add a description, image, and links to the latin-hypercube-sampling topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the latin-hypercube-sampling topic, visit your repo's landing page and select "manage topics."