shawnrosofsky / PINO_ApplicationsLinks
Applications of PINOs
☆141Updated 3 years ago
Alternatives and similar repositories for PINO_Applications
Users that are interested in PINO_Applications are comparing it to the libraries listed below
Sorting:
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆195Updated 6 months ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆159Updated 7 months ago
- ☆180Updated last year
- ☆227Updated 4 years ago
- ☆102Updated 4 years ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆287Updated 5 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆63Updated 4 months ago
- ☆54Updated 3 years ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆99Updated 11 months ago
- ☆155Updated 3 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆154Updated last year
- Characterizing possible failure modes in physics-informed neural networks.☆144Updated 4 years ago
- ☆114Updated 9 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆75Updated 6 months ago
- MIONet: Learning multiple-input operators via tensor product☆39Updated 3 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆88Updated 4 years ago
- Example problems in Physics informed neural network in JAX☆82Updated 2 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆28Updated 2 years ago
- ☆37Updated 2 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆220Updated 2 years ago
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆297Updated 6 months ago
- Spectral Neural Operator☆78Updated last year
- ☆62Updated 2 months ago
- ☆170Updated last year
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆74Updated 2 years ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆20Updated last month
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆120Updated last year
- ☆197Updated 7 months ago
- [ICLR 2023] Factorized Fourier Neural Operators☆179Updated 2 years ago
- ☆374Updated this week