zhaoxiaoyu1995 / RecFNOLinks
This is the implementation of the RecFNO.
☆25Updated 2 years ago
Alternatives and similar repositories for RecFNO
Users that are interested in RecFNO are comparing it to the libraries listed below
Sorting:
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆24Updated last year
- ☆65Updated last month
- ☆64Updated 3 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆75Updated 7 months ago
- Physics Informed Fourier Neural Operator☆23Updated last year
- Physics-informed deep super-resolution of spatiotemporal data☆48Updated 2 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence☆75Updated 9 months ago
- ☆54Updated 3 years ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆65Updated 2 weeks ago
- PDE Preserved Neural Network☆58Updated 6 months ago
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆47Updated 3 months ago
- Physics-encoded recurrent convolutional neural network☆46Updated 3 years ago
- ☆47Updated 8 months ago
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆25Updated last year
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆28Updated 2 years ago
- ☆38Updated 2 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆11Updated 3 months ago
- Fourier Neural Operator☆12Updated 2 years ago
- ☆10Updated 2 years ago
- KTH-FlowAI / beta-Variational-autoencoders-and-transformers-for-reduced-order-modelling-of-fluid-flows☆38Updated 7 months ago
- ☆64Updated 8 months ago
- Benchmarking of diffusion models for global field reconstruction from sparse observations☆27Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆53Updated last year
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆13Updated last year
- ☆85Updated 2 years ago
- ☆39Updated last year
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆74Updated 2 years ago
- ☆89Updated last year
- Use Fourier transform to learn operators in differential equations.☆17Updated 2 years ago