Surrogate Modeling Toolbox

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

Collection of Multi-Fidelity benchmark functions

[NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations

This repository comprises Jupyter Notebooks that serve as supplementary material to the journal article titled "Review of Multifidelity Models." The notebooks contain Python-based implementations that demonstrate toy problems in the multifidelity domain.

A set of reactor design benchmark problems to evaluate high-dimensional, expensive, and potentially multi-fidelity optimisation algorithms.

Project source code and data for multi-fidelity machine learning strategy for flame model identification

Flexible Gaussian Process model with user friendly kernel and mean function construction inspired by STHENO.

A suite of codes for dynamic analysis of offshore slender structures

Multi-fidelity modeling of wind farm wakes based on a novel super-fidelity network

A minimal package for providing pretrained machine learning force fields (e.g. multi-fidelity M3GNet) for material simulations.

A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

Spatiotemporal Gaussian process modeling for environmental data: non-stationary PDE prior, deep kernels, multi-fidelity fusion, and A-optimal sampling.非稳态 PDE + 核深度学习 + 多保真 Co-Kriging + 主动采样的物理约束克里金方法，用于复杂时空环境建模与预测

Just a notebook reproducing the Non-linear Autoregressive Gaussian Process (Perdikaris et al, 2017) using Tensorflow Probability

Vanishing Viscosity solution predicting Graph Neural Networks and Domain Decomposable Reduced Order Models based on the Discontinuous Galerking method applied to Friedrichs' systems

Code for the paper "Multi-Fidelity Best-Arm Identification" (NeurIPS 2022)

[NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations

Code for the paper "Optimal Multi-Fidelity Best-Arm Identification" (NeurIPS 2024)