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.
☆35Updated 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☆63Updated 7 months ago
- Physics-informed deep super-resolution of spatiotemporal data☆47Updated 2 years ago
- ☆51Updated this week
- Physics Informed Fourier Neural Operator☆23Updated 10 months ago
- This repository is for the master thesis project: "DiffFluids: A Diffusion-based Generative Model for Fluid Simulations"☆12Updated 2 years ago
- ☆60Updated last month
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆70Updated 5 months ago
- PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Mo…☆209Updated 2 years ago
- ☆82Updated 2 years ago
- Source code for paper "Learning spatiotemporal dynamics with a pretrained generative model" in Nature Machine Intelligence☆49Updated 6 months ago
- ☆65Updated 2 years ago
- ☆21Updated last year
- ☆26Updated 3 years ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆22Updated last year
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆13Updated last year
- PDE Preserved Neural Network☆56Updated 4 months ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆149Updated last year
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆50Updated 2 years ago
- This is the implementation of the RecFNO.☆22Updated 2 years ago
- ☆62Updated 6 months ago
- Physics-encoded recurrent convolutional neural network☆46Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆156Updated last year
- ☆160Updated 11 months ago
- A hybrid Decoder-DeepONet operator regression framework for unaligned observation data☆10Updated 2 years ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch