katarzynamichalowska / don-lstmLinks
DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks
☆10Updated 9 months ago
Alternatives and similar repositories for don-lstm
Users that are interested in don-lstm are comparing it to the libraries listed below
Sorting:
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆14Updated last year
- ☆29Updated 2 years ago
- ☆11Updated 8 months ago
- ☆20Updated last month
- ☆20Updated 3 weeks ago
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆11Updated last month
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆29Updated last year
- ☆11Updated last month
- ☆26Updated 3 years ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆11Updated 2 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 6 months ago
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆15Updated last year
- Data preprocess method on Physics-informed neural networks☆18Updated 5 months ago
- Physics-Informed Super-Resolution☆10Updated 2 years ago
- ☆54Updated 2 years ago
- This is the implementation of the RecFNO.☆21Updated 2 years ago
- ☆32Updated last month
- ☆10Updated 2 years ago
- ☆14Updated 3 years ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆22Updated last year
- POD-PINN code and manuscript☆52Updated 9 months ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated last month
- ☆11Updated last year
- ☆13Updated 8 months ago
- ☆27Updated 7 months ago
- Physics Informed Fourier Neural Operator☆24Updated 8 months ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆11Updated 3 years ago
- Physics-informed radial basis network☆31Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago