eagle-dataset / EagleMeshTransformerLinks
Code for Mesh Transformer describes in the EAGLE dataset
☆40Updated 3 months ago
Alternatives and similar repositories for EagleMeshTransformer
Users that are interested in EagleMeshTransformer are comparing it to the libraries listed below
Sorting:
- ☆12Updated last year
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆41Updated last week
- ☆36Updated 2 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…☆53Updated 4 months ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆44Updated last year
- ☆26Updated 10 months ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆20Updated this week
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆29Updated 7 months ago
- ☆41Updated 2 years ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆21Updated 11 months ago
- ☆11Updated last year
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆73Updated 2 weeks ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆65Updated last year
- ☆27Updated 2 months ago
- ☆13Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- ☆39Updated 3 months ago
- ☆13Updated 9 months ago
- ☆31Updated 10 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆27Updated 6 months ago
- ☆79Updated 9 months ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆26Updated 2 months ago
- MIONet: Learning multiple-input operators via tensor product☆34Updated 2 years ago
- Here you find the Spectral Operator Learning Under construcTION☆19Updated last year
- The public repository about our joint FINN research project☆36Updated 2 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆35Updated last month
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆16Updated last year
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆19Updated last year
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆42Updated last year
- ☆34Updated 4 years ago