yzshi5 / GM-GANOLinks
Codes for "Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation"s
☆9Updated last month
Alternatives and similar repositories for GM-GANO
Users that are interested in GM-GANO are comparing it to the libraries listed below
Sorting:
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆34Updated 4 months ago
- ☆20Updated last year
- Code to run 3D simulations of the elastic wave equation and predict outputs with 3D neural operators☆29Updated 9 months ago
- ☆37Updated 10 months ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆19Updated last year
- This is the implementation of the RecFNO.☆20Updated 2 years ago
- Fourier-DeepONet for FWI☆21Updated last year
- Repository for sharing code and data assocaited with En-DeepONet architecture☆33Updated last year
- ☆32Updated last year
- ☆59Updated 2 months ago
- Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)☆12Updated 10 months ago
- Code for orthogonal neural operator☆15Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆62Updated last month
- ☆37Updated 2 months ago
- Fourier-enhanced multiple-input neural operators☆13Updated 9 months ago
- ☆14Updated last year
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆30Updated 2 months ago
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆13Updated last year
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆26Updated 7 months ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆14Updated 9 months ago
- SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain☆16Updated last year
- Use Fourier transform to learn operators in differential equations.☆12Updated 2 years ago
- Physics Informed Fourier Neural Operator☆21Updated 6 months ago
- Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence☆43Updated 3 months ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆15Updated 4 years ago
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆23Updated last year
- ☆33Updated 2 years ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆27Updated 6 months ago
- Variational Neural Networks for the Solution of Partial Differential Equations☆8Updated 5 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆11Updated 11 months ago