Multi-fidelity modeling of wind farm wakes based on a novel super-fidelity network
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Updated
May 5, 2023 - Python
Multi-fidelity modeling of wind farm wakes based on a novel super-fidelity network
Code for the paper "Multi-Fidelity Best-Arm Identification" (NeurIPS 2022)
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.
This repository contains research on multi-fidelity Bayesian optimization, that I have presented on the Physics Days 2022
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
Project source code and data for multi-fidelity machine learning strategy for flame model identification
Just a notebook reproducing the Non-linear Autoregressive Gaussian Process (Perdikaris et al, 2017) using Tensorflow Probability
A suite of codes for dynamic analysis of offshore slender structures
[NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
Collection of Multi-Fidelity benchmark functions
Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
Surrogate Modeling Toolbox
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