dubourg / python-randomfieldsLinks
A Python module that implements tools for the simulation and identification of random fields using the Karhunen-Loeve expansion representation.
☆23Updated 8 years ago
Alternatives and similar repositories for python-randomfields
Users that are interested in python-randomfields are comparing it to the libraries listed below
Sorting:
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated 2 months ago
- Machine learning of linear differential equations using Gaussian processes☆24Updated 7 years ago
- Variational Neural Networks for the Solution of Partial Differential Equations☆8Updated 5 years ago
- The VECMA toolkit for creating surrogate models of multiscale systems.☆19Updated 4 months ago
- ☆13Updated 5 years ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- ☆12Updated 2 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆16Updated last year
- Multi Fidelity Monte Carlo☆25Updated 5 years ago
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- The public repository about our joint FINN research project☆36Updated 2 years ago
- Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf☆19Updated last month
- ☆41Updated 2 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- ☆104Updated last week
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆39Updated 7 months ago
- ☆38Updated last year
- ☆41Updated 5 years ago
- ☆26Updated 10 months ago
- PyTorch-FEniCS interface☆101Updated 4 years ago
- ☆13Updated 4 years ago
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆13Updated last year
- ☆17Updated 5 months ago
- ☆14Updated 3 years ago
- ☆10Updated 3 years ago
- ☆63Updated 5 years ago
- Repository to tutorials on the implementation of the Transitional Ensemble Markov Chain Monte Carlo (TEMCMC) sampler for Bayesian Model U…☆19Updated 2 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆70Updated 2 years ago
- ☆24Updated 6 years ago