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GitHub topics: parametric-pdes

fpichi/gca-rom

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

Language: Jupyter Notebook - Size: 526 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 35 - Forks: 10

hippylib/hippyflow

Dimension reduced surrogate construction for parametric PDE maps

Language: Python - Size: 162 KB - Last synced at: 12 days ago - Pushed at: 22 days ago - Stars: 37 - Forks: 7

MJfadeaway/DAS-2

Deep Adaptive Sampling for Surrogate Modeling Without Labeled Data

Language: Python - Size: 17.6 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 5 - Forks: 1

Oisin-M/GFN

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

Language: Jupyter Notebook - Size: 701 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 7 - Forks: 0

tomoleary/dino

Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning

Language: Python - Size: 161 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 0

Related Keywords
deep-learning 5 parametric-pdes 5 surrogate-models 3 machine-learning 3 neural-networks 3 parametric-pde 2 dimensionality-reduction 2 active-subspace 2 pytorch 2 model-order-reduction 2 graph-neural-networks 2 neural-operator 1 derivative-learning 1 derivative-informed-neural-operator 1 scientific-computing 1 partial-differential-equations 1 operator-learning 1 ml4science 1 ml4physics 1 pinn 1 pde 1 deep-adaptive-sampling 1 reduced-order-surrogate-model 1 reduced-order-modeling 1 reduced-basis 1 proper-orthogonal-decomposition 1 karhunen-loeve 1 dimension-reduction 1 torch-geometric 1