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

Surrogate model library for Derivative-Free Optimization

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。

Design optimization of floating offshore wind turbine with surrogate models

Tutorials for the C++ pressio library

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

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

Reinforcement Learning Actors for Blade Pitch Control in Wind Turbine Systems

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.

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".

Hierarchical generative and regressive machine learning for next generation materials screening

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