katiana22 / GDM-PCE
Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
☆37Updated 2 years ago
Alternatives and similar repositories for GDM-PCE
Users that are interested in GDM-PCE are comparing it to the libraries listed below
Sorting:
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆68Updated 4 years ago
- ☆14Updated 3 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆29Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆48Updated 4 years ago
- Tutorial on Gaussian Processes☆62Updated 5 years ago
- Multifidelity Kriging, Efficient Global Optimization☆18Updated 6 years ago
- ☆37Updated last year
- ☆10Updated 3 years ago
- multifidelity global sensitivity analysis☆16Updated 2 years ago
- ☆63Updated 5 years ago
- Machine learning of linear differential equations using Gaussian processes☆24Updated 7 years 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
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆80Updated last month
- ☆41Updated 7 years ago
- ☆41Updated 5 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆30Updated 4 years ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆52Updated last year
- ☆29Updated 6 years ago
- ☆16Updated 9 months ago
- Multi Fidelity Monte Carlo☆25Updated 5 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆26Updated 3 years ago
- Multi-fidelity reduced-order surrogate modeling☆22Updated 2 weeks ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆40Updated 2 years ago
- ☆48Updated 3 years ago
- Multi-fidelity Gaussian Process☆26Updated 4 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆56Updated 4 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- Multi-fidelity regression with neural networks☆12Updated 5 months ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Polynomial Chaos Expansion Toolbox for MATLAB☆35Updated last year