• UQToolbox

  • Referenced in 2 articles [sw20360]
  • UQToolbox: Tools for Uncertainty Quantification. This is a collection of tools for Uncertainty Quantification. Features...
  • multiUQ

  • Referenced in 2 articles [sw36935]
  • multiUQ: an intrusive uncertainty quantification tool for gas-liquid multiphase flows. Uncertainty quantification ... droplet breakup and merging for cases of uncertainty about the surface tension coefficient and incoming...
  • COSSAN-X

  • Referenced in 2 articles [sw26340]
  • codes with the advanced tools of Uncertainty Quantification. By taking account of uncertainty/variability calculation results ... more realistic. Without Uncertainty Quantification, only a single value of the results can be obtained ... possible range of the results due to uncertainties...
  • UQit

  • Referenced in 2 articles [sw38248]
  • UQit: A Python package for uncertainty quantification (UQ) in computational fluid dynamics (CFD). UQit ... Python package for uncertainty quantification (UQ) in computational physics, in general, and in computational fluid...
  • muq

  • Referenced in 2 articles [sw33064]
  • Uncertainty Quantification (MUQ) library. In a nutshell, MUQ is a collection of tools for constructing ... models and a collection of uncertainty quantification (UQ)–focused algorithms for working on those models...
  • Uncertainpy

  • Referenced in 3 articles [sw31267]
  • Uncertainpy is a python toolbox for uncertainty quantification and sensitivity analysis tailored towards computational neuroscience ... applicable, it recognizes and calculates the uncertainty in features of the model, as well...
  • PyBioNetFit

  • Referenced in 3 articles [sw34668]
  • addition to model parameterization, PyBNF supports uncertainty quantification by bootstrapping or Bayesian approaches, and model...
  • FLAM

  • Referenced in 3 articles [sw33776]
  • statistical contexts such as uncertainty quantification and machine learning. They have appeared in the literature...
  • nanoHUB

  • Referenced in 3 articles [sw22745]
  • workspaces, user groups, and projects. Uncertainty Quantification (UQ) is now automatically available for most nanoHUB...
  • Active subspaces

  • Referenced in 3 articles [sw32976]
  • engineering tasks such as design and uncertainty quantification. For more information on active subspaces, visit...
  • UQTk

  • Referenced in 4 articles [sw21917]
  • libraries and tools for the quantification of uncertainty in numerical model predictions. Version 3.0.4 offers...
  • AMICI

  • Referenced in 2 articles [sw38704]
  • scalable, gradient-based parameter estimation and uncertainty quantification. Availability and implementation: AMICI is published under...
  • Volna-OP2

  • Referenced in 2 articles [sw38260]
  • allowed various sensitivity analyses and uncertainty quantification studies. Due to the number of simulations required...
  • PeriPy

  • Referenced in 2 articles [sw38633]
  • outer-loop’ applications, including sensitivity analysis, uncertainty quantification and optimisation. Our python software toolbox utilises...
  • EasyVVUQ

  • Referenced in 1 article [sw33016]
  • Library for Verification, Validation and Uncertainty Quantification in High Performance Computing. EasyVVUQ is an open ... designed to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations...
  • VECMAtk

  • Referenced in 1 article [sw33017]
  • Introducing VECMAtk - Verification, Validation and Uncertainty Quantification for Multiscale and HPC Simulations. Multiscale simulations ... exposing patterns for verification, validation and uncertainty quantification (VVUQ). These patterns can be combined...
  • vir

  • Referenced in 1 article [sw37284]
  • variational inference can lead to similar uncertainty quantification as the corresponding Gibbs samplers, while estimating ... linear model, while providing accurate uncertainty quantification in many applied situations. The package is implemented...
  • EZFF

  • Referenced in 1 article [sw35241]
  • Library for Multi-Objective Parameterization and Uncertainty Quantification of Interatomic Forcefields for Molecular Dynamics. Parameterization ... interactions as well as built-in quantification of uncertainty in forcefield parameters...
  • PDE-NetGen

  • Referenced in 1 article [sw37737]
  • forecasting, data assimilation as well as uncertainty quantification. As an illustration, the workflow is first ... data-driven and physics-informed identification of uncertainty dynamics for the Burgers equation...
  • UQCreator

  • Referenced in 1 article [sw40235]
  • Oscillation mitigation of hyperbolicity-preserving intrusive uncertainty quantification methods for systems of conservation laws...