fishmoon1234 / Nonlocal-Attention-OperatorLinks
Attention mechanism-based neural operator models to solve both forward and inverse problems.
☆16Updated 8 months ago
Alternatives and similar repositories for Nonlocal-Attention-Operator
Users that are interested in Nonlocal-Attention-Operator are comparing it to the libraries listed below
Sorting:
- ☆13Updated last week
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆25Updated 7 months ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆18Updated last year
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆24Updated last year
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆11Updated 4 months ago
- ☆36Updated 6 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆30Updated last year
- Implementation of Physics-Informed PointNet (PIPN) for weakly-supervised learning of 2D linear elasticity (plane stress) on multiple sets…☆12Updated last year
- ☆11Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆25Updated 2 years ago
- Separabale Physics-Informed DeepONets in JAX☆21Updated last year
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆24Updated last year
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 11 months ago
- Physics-informed radial basis network☆35Updated last year
- ☆49Updated 10 months ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 7 years ago
- ☆13Updated 3 years ago
- ☆40Updated last year
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆40Updated 10 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆37Updated 2 months ago
- library for querying the Johns Hopkins Turbulence Database (JHTDB)☆22Updated 3 weeks ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆57Updated last year
- ☆15Updated 2 years ago
- Tackling the Curse of Dimensionality with Physics-Informed Neural Networks☆15Updated last year
- ☆14Updated last year
- ☆10Updated 2 years ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆14Updated 4 years ago
- MIONet: Learning multiple-input operators via tensor product☆44Updated 3 years ago
- ☆68Updated 5 months ago