A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks

This repository contains the packages that build the problem objects for the desdeo framework.

Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".

Surrogate model library for Derivative-Free Optimization

Design optimization of floating offshore wind turbine with surrogate models

A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays

Surrogate modelling technique selectors

A python package for parameter uncertainty quantification and optimization

A design optimization study of underwater vehicle using Bayesian optimization and deep learning based surrogate model

Learning Aerodynamics Through Data to Improve Optimization Algorithms

The official repository accompanying the paper "Deep Vision-Based Framework for Coastal Flood Prediction Under Climate Change Impacts and Shoreline Adaptations".

This repository contains scripts that were used for the experiments of our work named "Deep Residual Error and Bag-of-Tricks Learning for Gravitational Wave Surrogate Modeling".

Numerical Characterization of Photonic Power Splitter: Optimization Criteria for Forward Modeling

Heron is a surrogate modelling toolkit for python, using Gaussian process regression.

A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives

Tutorials for the C++ pressio library

surrogate quantitative interpretability for deepnets

Repository that implements the neural network shifted POD

DL models for generating stress fields in microstructures

Mitigating the high computational costs associated with applying Bayesian model updating in inverse problems / Uncertainty Quantification and Efficient Sensitivity Analysis by using Surrogate Models