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
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆67Updated 4 years ago
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆80Updated last month
- ☆27Updated 6 years ago
- ☆14Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆48Updated 4 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆39Updated 2 years ago
- Tutorial on Gaussian Processes☆62Updated 5 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆29Updated 4 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆25Updated 3 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆28Updated 2 years ago
- ☆47Updated 3 years ago
- ☆21Updated 4 years ago
- ☆62Updated 5 years ago
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆10Updated 5 years ago
- Multifidelity Kriging, Efficient Global Optimization☆17Updated 6 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆55Updated 4 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆67Updated 2 years ago
- ☆47Updated last year
- Multi-fidelity reduced-order surrogate modeling☆19Updated 3 months ago
- ☆41Updated 4 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆57Updated 7 months ago
- Machine learning of linear differential equations using Gaussian processes☆24Updated 6 years ago
- ☆18Updated 4 years ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆51Updated last year
- ☆15Updated 7 months ago
- ☆41Updated 7 years ago
- multifidelity global sensitivity analysis☆16Updated 2 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago