zhaoxiaoyu1995 / RecFNOLinks
This is the implementation of the RecFNO.
☆21Updated 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"☆22Updated last year
- ☆54Updated 2 years ago
- Physics Informed Fourier Neural Operator☆24Updated 9 months ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆10Updated 9 months ago
- ☆58Updated last week
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆49Updated 2 months ago
- ☆29Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆67Updated 4 months ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆15Updated last year
- ☆45Updated 5 months ago
- Physics-informed deep super-resolution of spatiotemporal data☆46Updated last year
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆24Updated last year
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- PDE Preserved Neural Network☆54Updated 3 months ago
- ☆45Updated last month
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆42Updated last week
- Benchmarking of diffusion models for global field reconstruction from sparse observations☆23Updated 8 months ago
- ☆27Updated last month
- Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence☆52Updated 6 months ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 7 months ago
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆12Updated last year
- Fourier Neural Operator☆12Updated 2 years ago
- ☆10Updated 2 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆145Updated 11 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆29Updated last year
- ☆84Updated 11 months ago
- ☆36Updated 2 years ago
- ☆77Updated 2 years ago
- KTH-FlowAI / beta-Variational-autoencoders-and-transformers-for-reduced-order-modelling-of-fluid-flows☆33Updated 4 months ago
- ☆32Updated last month