scaomath / galerkin-transformer
[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax for Partial Differential Equations
☆240Updated 10 months ago
Alternatives and similar repositories for galerkin-transformer:
Users that are interested in galerkin-transformer are comparing it to the libraries listed below
- [ICLR 2023] Factorized Fourier Neural Operators☆161Updated last year
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆240Updated 2 years ago
- ☆71Updated last year
- ICON for in-context operator learning☆50Updated 2 months ago
- ☆30Updated 9 months ago
- Using graph network to solve PDEs☆384Updated last year
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆157Updated 2 weeks ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆139Updated 2 weeks ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆62Updated last year
- ☆254Updated 7 months ago
- ☆55Updated last month
- ☆74Updated 7 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated 10 months ago
- Characterizing possible failure modes in physics-informed neural networks.☆134Updated 3 years ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆70Updated 2 weeks ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆131Updated 7 months ago
- Adaptive FNO transformer - official Pytorch implementation☆249Updated 2 years ago
- Spectral Neural Operator☆78Updated last year
- Multiwavelets-based operator model☆59Updated 3 years ago
- ☆122Updated 2 years ago
- DeepONet & FNO (with practical extensions)☆286Updated last year
- ☆41Updated last year
- PDE-Net: Learning PDEs from Data☆313Updated 3 years ago
- ☆204Updated 3 years ago
- Transformers for modeling physical systems☆136Updated last year
- ☆134Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆49Updated 10 months ago
- ☆439Updated 3 weeks ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆147Updated 5 years ago
- ☆50Updated 2 years ago