☆41Jul 6, 2023Updated 2 years ago
Alternatives and similar repositories for nio
Users that are interested in nio are comparing it to the libraries listed below
Sorting:
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆15May 27, 2024Updated last year
- Domain Agnostic Fourier Neural Operators (DAFNO)☆19Sep 3, 2024Updated last year
- ☆15Nov 20, 2023Updated 2 years ago
- Solving inverse problems using conditional invertible neural networks.☆33Mar 23, 2021Updated 4 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆358Jul 14, 2023Updated 2 years ago
- Applications of PINOs☆146Oct 10, 2022Updated 3 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆169Sep 6, 2024Updated last year
- ☆15Mar 3, 2023Updated 2 years ago
- ☆41Sep 2, 2025Updated 6 months ago
- ☆67Mar 21, 2025Updated 11 months ago
- ☆510Apr 1, 2025Updated 11 months ago
- Code for training and inferring acoustic wave propagation in 3D☆42Nov 9, 2025Updated 3 months ago
- ☆40Jul 10, 2024Updated last year
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆305Jun 2, 2025Updated 9 months ago
- [GSI 2023] Learning Lagrangian Fluid Mechanics with E(3)-Equivariant GNNs☆15Jun 3, 2024Updated last year
- [ICLR 2023] Factorized Fourier Neural Operators☆189Oct 13, 2023Updated 2 years ago
- Datasets and code for results presented in the BOON paper☆45Mar 2, 2023Updated 3 years ago
- Multiwavelets-based operator model☆69Feb 16, 2022Updated 4 years ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆28Mar 9, 2023Updated 2 years ago
- Large language models, physics-based modeling, experimental measurements: the trinity of data-scarce learning of polymer properties☆14Sep 4, 2025Updated 5 months ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆30Jan 20, 2025Updated last year
- ☆24Mar 3, 2023Updated 2 years ago
- A module based seismic modeling, migration and inversion code☆12Updated this week
- In this work, we present a novel approach that combines the power of Koopman operators and deep neural networks to generate a linear rep…☆10Dec 1, 2025Updated 3 months ago
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆39Nov 2, 2024Updated last year
- ☆55Jun 16, 2022Updated 3 years ago
- Code for "Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation" BSSA 2024☆15Jun 19, 2025Updated 8 months ago
- Repository containing article with examples of custom activation functions for Pytorch☆12Dec 9, 2019Updated 6 years ago
- ☆41Jul 22, 2024Updated last year
- ☆386Dec 3, 2022Updated 3 years ago
- ☆15Feb 3, 2023Updated 3 years ago
- Code for Point-Calibrated Spectral Neural Operators☆20Oct 15, 2024Updated last year
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆20Jun 20, 2024Updated last year
- Practicum on Supervised Learning in Function Spaces☆35Feb 17, 2022Updated 4 years ago
- ☆36May 3, 2023Updated 2 years ago
- Code Implementation of AdjointDiffusion: a physics-guided and fabrication-aware optimization of photonic devices☆22Jan 4, 2026Updated last month
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆73Jan 13, 2024Updated 2 years ago
- ☆44Dec 7, 2022Updated 3 years ago
- MIONet: Learning multiple-input operators via tensor product☆44Nov 13, 2022Updated 3 years ago