PredictiveIntelligenceLab / NOMADLinks
☆16Updated 11 months ago
Alternatives and similar repositories for NOMAD
Users that are interested in NOMAD are comparing it to the libraries listed below
Sorting:
- ☆15Updated last year
- ☆10Updated 2 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆16Updated last year
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated last year
- ☆14Updated 3 years ago
- ☆21Updated 2 years ago
- Physics-informed neural networks (PINNs)☆13Updated 3 years ago
- Constructing linearizing transformations for reduced-order modeling of nonlinear dynamical systems☆10Updated 11 months ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 2 years ago
- The public repository about our joint FINN research project☆37Updated 2 years ago
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆20Updated 11 months ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆11Updated last year
- ☆35Updated last year
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆25Updated last year
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Updated 4 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 2 years ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆27Updated 3 months ago
- PINN paper that will be submitted to Journal of Computational Science☆11Updated 11 months ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆32Updated last year
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated last year
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆38Updated 2 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 4 months ago
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆16Updated 11 months ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆26Updated last month
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- Domain Agnostic Fourier Neural Operators (DAFNO)☆15Updated 10 months ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 6 years ago
- ☆10Updated 2 years ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- Neural Galerkin☆16Updated last year