Topic: "parametric-pdes"
hippylib/hippyflow
Dimension reduced surrogate construction for parametric PDE maps
Language: Python - Size: 162 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 37 - Forks: 7
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: about 2 months ago - Pushed at: about 2 months ago - Stars: 35 - Forks: 10
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
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: 7 months ago - Pushed at: 7 months ago - Stars: 7 - Forks: 0
MJfadeaway/DAS-2
Deep Adaptive Sampling for Surrogate Modeling Without Labeled Data
Language: Python - Size: 17.6 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 5 - Forks: 1
WIAS-PDELib/ExtendableASGFEM.jl
adaptive Stochastic Galerkin finite element methods for parametric PDEs
Language: Julia - Size: 751 KB - Last synced at: 8 days ago - Pushed at: 18 days ago - Stars: 1 - Forks: 0
