20 skills found
SURGroup / UQpyUQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
relf / EGOboxEfficient global optimization toolbox in Rust: bayesian optimization, mixture of gaussian processes, sampling methods
tisimst / McerpReal-time latin-hypercube sampling-based Monte Carlo ERror Propagation
sahilm89 / LhsmduThis is an implementation of Deutsch and Deutsch, "Latin hypercube sampling with multidimensional uniformity", Journal of Statistical Planning and Inference 142 (2012) , 763-772
bertcarnell / LhsProvides a number of methods for creating and augmenting Latin Hypercube Samples and Orthogonal Array Latin Hypercube Samples
MrUrq / LatinHypercubeSampling.jlJulia package for the creation of optimised Latin Hypercube Sampling Plans
tstran155 / Optimization Of Building Energy ConsumptionThis 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.
wagoner47 / Clhs PyConditioned Latin Hypercube Sampling in Python - Docs:
rikblok / Matlab LhsdesignconLatin hypercube sample with constraints.
pierreroudier / ClhsA R implementation of the conditioned Latin Hypercube Sampling method
bertcarnell / LhslibLatin hypercube sampling code for the lhs pacakge in the statistical software package R (www.r-project.org)
scmassey / Model Sensitivity AnalysisLatin hypercube sampling and partial rank correlation coefficients
mikediessner / SimplelhsSimple implementation of Latin Hypercube Sampling.
m-boschini / ExpandLHSLatin Hypercube Sampling (LHS) expansion algorithm
Spogis / DWSIMChemDesignChemDesign: DWSIM Experiment Toolkit
sjhabedin / SWMM RASpySWMM-RASpy Framework automates flood modeling by integrating SWMM hydrologic simulations and HEC-RAS 2D hydraulic analyses. It generates rainfall and land cover samples via Latin Hypercube Sampling, updates model inputs, runs simulations, and extracts output data for analysis.
FarhangSuzan / Latin Hypercube Sampling Partial Rank Correlation Coefficient LHS PRCC Sensitivity AnalysisGlobal Sensitivity Analysis
brsynth / Icfree MlDesign of experiments (DoE) and machine learning packages for the iCFree project
RuiZhong961230 / SRIMESRIME: An strengthened RIME with Latin hypercube sampling and embedded distance-based selection for engineer optimization problems
jakobbossek / DandyWrapper for sampling methods in R and approximate star discrepancy calculation
