katiana22 / GDM-PCELinks
Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
☆38Updated 3 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:
- ☆41Updated 7 years ago
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆81Updated last week
- ☆30Updated 7 years ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆55Updated 2 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆10Updated 6 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆33Updated 4 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- ☆21Updated 5 years ago
- Tutorial on Gaussian Processes☆63Updated 5 years ago
- ☆14Updated 3 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆34Updated 4 years ago
- ☆195Updated 7 months ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆59Updated 3 years ago
- The public repository about our joint FINN research project☆38Updated 3 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆59Updated 4 years ago
- ☆21Updated 2 years ago
- Hands-on tutorial for implementing Physics Informed Neural Networks in Pytorch☆53Updated 6 months ago
- ☆63Updated 6 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 3 years ago
- AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)☆44Updated 3 years ago
- ☆11Updated 4 years ago
- Code for the paper "Rational neural networks", NeurIPS 2020☆28Updated 4 years ago
- physics-guided neural networks (phygnn)☆99Updated 2 months ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆36Updated 3 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…☆43Updated 2 years ago
- ☆40Updated 2 years ago