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
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆75Updated 6 months ago
- Physics-encoded recurrent convolutional neural network☆46Updated 3 years ago
- PDE Preserved Neural Network☆58Updated 6 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆63Updated 4 months ago
- Physics Informed Fourier Neural Operator☆23Updated 11 months ago
- ☆62Updated 2 months ago
- ☆55Updated 3 years ago
- Physics-informed deep super-resolution of spatiotemporal data☆48Updated 2 years ago
- ☆45Updated 8 months ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆46Updated 2 months ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆25Updated last year
- MIONet: Learning multiple-input operators via tensor product☆38Updated 3 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆74Updated 2 years ago
- ☆61Updated 3 weeks ago
- ☆86Updated last year
- Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence☆66Updated 8 months ago
- Fourier Neural Operator☆12Updated 2 years ago
- KTH-FlowAI / beta-Variational-autoencoders-and-transformers-for-reduced-order-modelling-of-fluid-flows☆38Updated 6 months ago
- Benchmarking of diffusion models for global field reconstruction from sparse observations☆27Updated 11 months ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆26Updated 9 months ago
- ☆29Updated 3 years ago
- ☆37Updated 2 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆52Updated 2 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆11Updated 2 months ago
- ☆64Updated 7 months ago
- ☆82Updated 2 years ago
- Deep finite volume method☆22Updated last year