This repository contains the packages that build the problem objects for the desdeo framework.
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Updated
Oct 4, 2023 - Python
This repository contains the packages that build the problem objects for the desdeo framework.
DrivAerNet: A Parametric Car Dataset for Data-driven Aerodynamic Design and Graph-Based Drag Prediction
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
Heron is a surrogate modelling toolkit for python, using Gaussian process regression.
Surrogate modelling technique selectors
Learning Aerodynamics Through Data to Improve Optimization Algorithms
A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
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
Tutorials for the C++ pressio library
surrogate quantitative interpretability for deepnets
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives
Reinforcement Learning Actors for Blade Pitch Control in Wind Turbine Systems
DL models for generating stress fields in microstructures
Design of a surrogate-assisted (mu/mu,lambda)-ES
Jupyter book for AAE 590 - Surrogate methods
A design optimization study of underwater vehicle using Bayesian optimization and deep learning based surrogate model
cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics.
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