hippylib / hippyflow Star 36 Code Issues Pull requests Dimension reduced surrogate construction for parametric PDE maps deep-learning neural-networks dimensionality-reduction reduced-basis dimension-reduction proper-orthogonal-decomposition surrogate-models reduced-order-surrogate-model active-subspace karhunen-loeve reduced-order-modeling parametric-pde parametric-pdes Updated Aug 6, 2024 Python
tomoleary / dino Star 17 Code Issues Pull requests Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning machine-learning deep-learning dimensionality-reduction surrogate-models active-subspace parametric-pde parametric-pdes neural-operator derivative-learning derivative-informed-neural-operator Updated Jan 9, 2024 Python
jiweiqi / nnsubspace Star 8 Code Issues Pull requests Uncertainty Propagation in Deep Neural Network Using Active Subspace deep-neural-networks uncertainty-quantification adversarial-example active-subspace Updated Jul 14, 2019 Jupyter Notebook
ShuaiGuo16 / Data-driven-High-dimensional-UQ-Analysis Star 7 Code Issues Pull requests Project source code and data for uncertainty quantification on combustion instability prediction using a machine-learning-enhanced strategy data-science machine-learning statistics supervised-learning dimensionality-reduction monte-carlo-simulation uncertainty-quantification active-subspace Updated Feb 2, 2021 MATLAB