Mitigating the high computational costs associated with applying Bayesian model updating in inverse problems / Uncertainty Quantification and Efficient Sensitivity Analysis by using Surrogate Models
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Updated
Jun 13, 2024 - Python
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
DL models for generating stress fields in microstructures
Repository that implements the neural network shifted POD
Jupyter book for AAE 590 - Surrogate methods
Standardized Benchmark Dataset for Localized Exposure to a Realistic Source at 10-90 GHz
cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics.
This repository contains the packages that build the problem objects for the desdeo framework.
Surrogate modelling technique selectors
cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics.
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
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".
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives
Hierarchical generative and regressive machine learning for next generation materials screening
Statistical learning models library for blackbox optimization
Design of a surrogate-assisted (mu/mu,lambda)-ES
A python package for parameter uncertainty quantification and optimization
squid repository for manuscript analysis
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