OrchardLANL / Senseiver
The Senseiver: attention-based global field reconstruction from sparse observations
☆22Updated 3 months ago
Alternatives and similar repositories for Senseiver:
Users that are interested in Senseiver are comparing it to the libraries listed below
- A library for dimensionality reduction on spatial-temporal PDE☆63Updated 10 months ago
- ☆30Updated last year
- Code for the paper Universal Physics Transformers☆90Updated last week
- Datasets and code for results presented in the ProbConserv paper☆53Updated 8 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 last month
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆44Updated 2 weeks ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆28Updated 8 months ago
- The public repository about our joint FINN research project☆36Updated 2 years ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆130Updated 2 months ago
- ☆18Updated 3 weeks ago
- Code for Mesh Transformer describes in the EAGLE dataset☆35Updated 10 months ago
- ☆52Updated 2 years ago
- Datasets and code for results presented in the BOON paper☆43Updated last year
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated 8 months ago
- Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆24Updated 2 months ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆82Updated 2 months ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆36Updated last year
- ☆69Updated 5 months ago
- ☆22Updated 7 months ago
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆23Updated 9 months ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆25Updated 4 months ago
- ☆163Updated 11 months ago
- ☆10Updated 8 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆31Updated 7 months ago
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆95Updated 5 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆56Updated last year
- Domain Agnostic Fourier Neural Operators (DAFNO)☆13Updated 5 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆56Updated 6 months ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆150Updated 4 months ago
- ☆67Updated 5 months ago