PredictiveIntelligenceLab / NOMAD
☆16Updated 7 months ago
Alternatives and similar repositories for NOMAD:
Users that are interested in NOMAD are comparing it to the libraries listed below
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- ☆13Updated last year
- ☆10Updated last year
- ☆14Updated 3 years ago
- ☆40Updated 2 years ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated 10 months ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated last year
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆18Updated 9 months ago
- ☆31Updated 10 months ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆24Updated 3 weeks 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
- Pseudospectral Kolmogorov Flow Solver☆38Updated last year
- Physics-informed neural networks (PINNs)☆12Updated 2 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆38Updated last month
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆39Updated last year
- ☆11Updated 2 years ago
- ☆25Updated 8 months ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆22Updated this week
- DeepONet extrapolation☆26Updated last year
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆13Updated 11 months ago
- Practicum on Supervised Learning in Function Spaces☆32Updated 3 years ago
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆13Updated 8 months ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆31Updated 9 months ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆17Updated 5 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
- The public repository about our joint FINN research project☆36Updated 2 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆15Updated 4 years ago
- Differential equation neural operator☆20Updated last year
- ☆12Updated last year