camlab-ethz / poseidonLinks
Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
☆144Updated 2 months ago
Alternatives and similar repositories for poseidon
Users that are interested in poseidon are comparing it to the libraries listed below
Sorting:
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆177Updated last month
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆75Updated last month
- Applications of PINOs☆126Updated 2 years ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆59Updated 3 weeks ago
- Spectral Neural Operator☆79Updated last year
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆45Updated 2 years ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆86Updated 6 months ago
- ☆43Updated last year
- ☆80Updated 9 months ago
- ☆75Updated last year
- Characterizing possible failure modes in physics-informed neural networks.☆136Updated 3 years ago
- ☆212Updated 3 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- ☆263Updated 9 months ago
- ☆97Updated 3 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆57Updated last year
- ☆87Updated 2 months ago
- ☆313Updated 2 months ago
- ☆166Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆51Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆62Updated 2 months ago
- ☆40Updated 4 months ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆263Updated 3 weeks ago
- ☆143Updated 2 years ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆43Updated last week
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆197Updated 2 years ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆134Updated 9 months ago
- ☆53Updated 2 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆66Updated last year
- Original implementation of fast PINN optimization with RBA weights☆56Updated 2 months ago