paulpuren / PhySRLinks
Physics-informed deep super-resolution of spatiotemporal data
☆46Updated last year
Alternatives and similar repositories for PhySR
Users that are interested in PhySR are comparing it to the libraries listed below
Sorting:
- Physics-encoded recurrent convolutional neural network☆46Updated 3 years ago
- Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence☆50Updated 5 months ago
- ☆56Updated 6 months ago
- This is the implementation of the RecFNO.☆21Updated 2 years ago
- Physics Informed Fourier Neural Operator☆24Updated 8 months ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆47Updated 2 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆143Updated 11 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆65Updated 3 months ago
- ☆19Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- PDE Preserved Neural Network☆54Updated 2 months ago
- ☆20Updated 3 weeks ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆73Updated 2 years ago
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆12Updated last year
- MIONet: Learning multiple-input operators via tensor product☆37Updated 2 years ago
- ☆54Updated 2 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- A small research project about advanced machine learning with neural networks. The Fourier neural operator was implemented here to see if…☆31Updated 2 years ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆22Updated last year
- Encoding physics to learn reaction-diffusion processes☆101Updated last year
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆41Updated 6 months ago
- ☆36Updated 2 years ago
- ☆26Updated 3 years ago
- ☆64Updated 2 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆10Updated 9 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆47Updated last month
- ☆61Updated 4 months ago
- ☆111Updated 6 months ago
- ☆77Updated 2 years ago
- ☆23Updated 3 years ago