yellowshippo / fluxgnn-icml2024
Official FluxGNN code for ICML2024
☆18Updated 7 months ago
Alternatives and similar repositories for fluxgnn-icml2024:
Users that are interested in fluxgnn-icml2024 are comparing it to the libraries listed below
- PENN code for NeurIPS 2022☆38Updated 2 years ago
- ☆22Updated 6 months ago
- Code for Mesh Transformer describes in the EAGLE dataset☆35Updated 10 months ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆15Updated 3 months ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆46Updated 3 weeks ago
- ☆10Updated 7 months ago
- A library for dimensionality reduction on spatial-temporal PDE☆62Updated 9 months ago
- Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆23Updated 2 months ago
- MIONet: Learning multiple-input operators via tensor product☆29Updated 2 years ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆18Updated 7 months ago
- Discontinuity Computing Using Physics-Informed Neural Network☆22Updated 9 months ago
- Here you find the Spectral Operator Learning Under construcTION☆19Updated 8 months ago
- IsoGCN code for ICLR2021☆49Updated 3 years ago
- DeepGreen network written in Tensorflow 2☆30Updated 3 years ago
- DeepONet extrapolation☆25Updated last year
- Domain Agnostic Fourier Neural Operators (DAFNO)☆13Updated 4 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆29Updated 7 months ago
- Applications of PINOs☆112Updated 2 years ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆56Updated 2 months ago
- ☆27Updated 6 months ago
- ☆12Updated last year
- ☆12Updated 11 months ago
- Spectral Neural Operator☆75Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆20Updated last year
- ☆103Updated 6 months ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆30Updated 10 months ago
- ☆25Updated last week
- ☆28Updated 11 months ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆46Updated 3 years ago