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

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

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

surrogate quantitative interpretability for deepnets

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

UQPyL is a python package for uncertainty quantification and parameter optimization. 参数不确定性分析及优化工具包。

Surrogate model library for Derivative-Free Optimization

Design optimization of floating offshore wind turbine with surrogate models

Tutorials for the C++ pressio library

Reinforcement Learning Actors for Blade Pitch Control in Wind Turbine Systems

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

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

Design of a surrogate-assisted (mu/mu,lambda)-ES

squid repository for manuscript analysis

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

cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics.

Statistical learning models library for blackbox optimization

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

Learning Aerodynamics Through Data to Improve Optimization Algorithms