scaomath / galerkin-transformerLinks
[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax for Partial Differential Equations
☆248Updated last year
Alternatives and similar repositories for galerkin-transformer
Users that are interested in galerkin-transformer are comparing it to the libraries listed below
Sorting:
- [ICLR 2023] Factorized Fourier Neural Operators☆173Updated last year
- ICON for in-context operator learning☆56Updated 5 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆69Updated last year
- Multiwavelets-based operator model☆63Updated 3 years ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆135Updated 10 months ago
- ☆77Updated 2 years ago
- ☆81Updated 11 months ago
- ☆32Updated last year
- ☆125Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆53Updated last year
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 2 years ago
- ☆52Updated 3 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆57Updated last year
- Adaptive FNO transformer - official Pytorch implementation☆263Updated 2 years ago
- Using graph network to solve PDEs☆403Updated 2 months ago
- ☆267Updated 10 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆45Updated 2 years ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆149Updated 3 months ago
- [NeurIPS 2022] Minimizing L_inf Physics-Informed Loss for PINN with adversarial training☆39Updated 2 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆52Updated 2 years ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆195Updated 2 weeks ago
- Spectral Neural Operator☆78Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆49Updated last year
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆72Updated 3 months ago
- ☆61Updated 4 months ago
- ☆35Updated 2 years ago
- PDE-Net: Learning PDEs from Data☆318Updated 4 years ago
- ☆43Updated 2 weeks ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆150Updated 5 years ago
- Transformers for modeling physical systems☆142Updated 2 years ago