erik-norlin / Fourier-Neural-OperatorLinks
A small research project about advanced machine learning with neural networks. The Fourier neural operator was implemented here to see if it could predict zero-shot super resolution of fluid flows.
☆39Updated 2 years ago
Alternatives and similar repositories for Fourier-Neural-Operator
Users that are interested in Fourier-Neural-Operator are comparing it to the libraries listed below
Sorting:
- Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence☆72Updated 9 months ago
- ☆64Updated 3 months ago
- ☆63Updated last month
- Physics Informed Fourier Neural Operator☆23Updated last year
- Physics-informed deep super-resolution of spatiotemporal data☆48Updated 2 years ago
- This repository is for the master thesis project: "DiffFluids: A Diffusion-based Generative Model for Fluid Simulations"☆12Updated 2 years ago
- ☆64Updated 8 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆75Updated 6 months ago
- Source code for paper "Learning spatiotemporal dynamics with a pretrained generative model" in Nature Machine Intelligence☆52Updated 7 months ago
- Physics-encoded recurrent convolutional neural network☆46Updated 3 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆155Updated last year
- This is the implementation of the RecFNO.☆25Updated 2 years ago
- ☆22Updated last year
- ☆170Updated last year
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆24Updated last year
- ☆26Updated 3 years ago
- PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Mo…☆215Updated 2 years ago
- ☆70Updated 2 years ago
- ☆83Updated 2 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆52Updated 2 years ago
- PDE Preserved Neural Network☆58Updated 6 months ago
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆13Updated last year
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆63Updated 4 months ago
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆46Updated 3 months ago
- ☆64Updated 3 years ago
- ☆32Updated last year
- Encoding physics to learn reaction-diffusion processes☆105Updated 2 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆241Updated 3 weeks ago
- ☆42Updated this week
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆160Updated last year