There are 1 repository under surrogate-modelling topic.
A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
A design optimization study of underwater vehicle using Bayesian optimization and deep learning based surrogate model
Tutorials for the C++ pressio library
Heron is a surrogate modelling toolkit for python, using Gaussian process regression.
Design optimization of floating offshore wind turbine with surrogate models
squid repository for manuscript analysis
Design of a surrogate-assisted (mu/mu,lambda)-ES
Statistical learning models library for blackbox optimization
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives
This repository contains the packages that build the problem objects for the desdeo framework.
Surrogate modelling technique selectors
cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics.
Numerical Characterization of Photonic Power Splitter: Optimization Criteria for Forward Modeling
Learning Aerodynamics Through Data to Improve Optimization Algorithms
Hierarchical generative and regressive machine learning for next generation materials screening
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".
Reinforcement Learning Actors for Blade Pitch Control in Wind Turbine Systems
cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics.
Standardized Benchmark Dataset for Localized Exposure to a Realistic Source at 10-90 GHz
DL models for generating stress fields in microstructures