BaratiLab / PhysicsInformedTokenTransformer
Official repository for Physics Informed Token Transformer (PITT)
☆15Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for PhysicsInformedTokenTransformer
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆26Updated 5 months ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆15Updated 3 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆28Updated 8 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆35Updated 5 months ago
- ICON for in-context operator learning☆41Updated 3 weeks ago
- ☆59Updated 2 months ago
- ☆14Updated 3 months ago
- ☆24Updated 2 years ago
- ☆19Updated last month
- This is the implementation of the RecFNO.☆16Updated last year
- ☆60Updated last year
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆14Updated 3 weeks ago
- ☆26Updated 4 months ago
- Code for Mesh Transformer describes in the EAGLE dataset☆32Updated 7 months ago
- Multifidelity DeepONet☆27Updated last year
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆9Updated 3 years ago
- ☆32Updated last year
- ☆19Updated 2 years ago
- ☆10Updated 9 months ago
- ☆37Updated last year
- ☆13Updated 3 years ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆15Updated 2 weeks ago
- DeepONet extrapolation☆24Updated last year
- Domain Agnostic Fourier Neural Operators (DAFNO)☆10Updated 2 months ago
- ☆20Updated 2 years ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆41Updated last year
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆15Updated last year
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆53Updated 10 months ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆38Updated last year
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆14Updated 6 months ago