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parametric-pdes

Here are 5 public repositories matching this topic...

hippylib / hippyflow

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

fpichi / gca-rom

GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.

machine-learning deep-learning pytorch neural-networks model-order-reduction graph-neural-networks torch-geometric parametric-pdes

Updated Jun 26, 2024
Jupyter Notebook

tomoleary / dino

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

Oisin-M / GFN

Graph Feedforward Networks: a resolution-invariant generalisation of feedforward networks for graphical data, applied to model order reduction

machine-learning deep-learning pytorch scientific-computing neural-networks partial-differential-equations model-order-reduction graph-neural-networks parametric-pdes operator-learning ml4physics ml4science

Updated Jun 20, 2024
Jupyter Notebook

MJfadeaway / DAS-2

Deep Adaptive Sampling for Surrogate Modeling Without Labeled Data

deep-learning pde pinn surrogate-models parametric-pdes deep-adaptive-sampling

Updated Nov 8, 2024
Python

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