Surrogate Modelling package for OpenTURNS
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Updated
Mar 13, 2019 - Python
Surrogate Modelling package for OpenTURNS
In this repository I publish the python code, that was part of my master thesis. The thesis can be found here, however its in German though, sry. :/
Surrogarte modelling technique selector
Hyperparameter Optimization
A step-by-step guide for surrogate optimization using Gaussian Process surrogate model
Multi-fidelity Generative Deep Learning Turbulent Flows
Getting explanations for predictions made by black box models.
A demo of how to use a surrogate model for an optimization problem
Surrogate model library for Derivative-Free Optimization
This is a small example project, that showcases the possibility of using a surrogate model to estimate the drag coefficient of arbitrary triangles.
Open-source constructor of surrogates and metamodels
Data and code to accompany paper "Accelerating sequential Monte Carlo with surrogate likelihoods"
Surrogate Optimization Toolbox for Python
Can we visualize a large scientific data set with a surrogate model? We're building a GAN for the Earth's Mantle Convection data set to see if we can! (Work presented at IEEE VIS 2021)
Heron is a surrogate modelling toolkit for python, using Gaussian process regression.
Efficient Multiscale Topology Optimization
Applications of PINOs
3D CNN to predict single-phase flow velocity fields
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