liu-ziyuan-math / SPFNOLinks
☆13Updated last year
Alternatives and similar repositories for SPFNO
Users that are interested in SPFNO are comparing it to the libraries listed below
Sorting:
- ☆28Updated last year
- ☆45Updated 2 years ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆65Updated 2 weeks ago
- ☆54Updated 3 years ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆25Updated 6 months ago
- MIONet: Learning multiple-input operators via tensor product☆39Updated 3 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆28Updated 2 years ago
- [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains☆66Updated last month
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆24Updated last year
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆20Updated last month
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 9 months ago
- Here you find the Spectral Operator Learning Under construcTION☆20Updated last year
- ☆29Updated 3 years ago
- Spectral Neural Operator☆78Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- ☆89Updated last year
- ☆47Updated 8 months ago
- ☆38Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆75Updated 7 months ago
- ☆14Updated 4 years ago
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆25Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆53Updated last year
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆56Updated 10 months ago
- PDE Preserved Neural Network☆58Updated 6 months ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆197Updated last week
- ☆45Updated last week
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 3 weeks ago
- ☆65Updated 3 months ago