paraklas / NARGPLinks
Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.
☆71Updated 9 years ago
Alternatives and similar repositories for NARGP
Users that are interested in NARGP are comparing it to the libraries listed below
Sorting:
- ☆40Updated 2 years ago
- ☆63Updated 6 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Updated 5 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Multi Fidelity Monte Carlo☆24Updated 5 years ago
- Tools to construct surrogate models based on Hermitian polynomial bases. Includes full-factorial and sparse polynomial chaos expansions v…☆10Updated 7 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
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- Multi-fidelity classification with Gaussian process☆18Updated 2 years ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆149Updated 5 years ago
- Multi-fidelity reduced-order surrogate modeling☆30Updated 7 months ago
- ☆130Updated 3 years ago
- ☆43Updated 2 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆94Updated 2 years ago
- Machine learning of linear differential equations using Gaussian processes☆25Updated 7 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- This repository comprises Jupyter Notebooks that serve as supplementary material to the journal article titled "Review of Multifidelity M…☆12Updated 2 years ago
- Multi-fidelity Gaussian Process☆29Updated 5 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆71Updated 4 years ago
- POD-PINN code and manuscript☆57Updated last year
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆34Updated 5 years ago
- ☆49Updated 4 years ago
- Easy Reduced Basis method☆94Updated this week
- Multi-fidelity probability machine learning☆22Updated 2 months ago
- ☆200Updated 9 months ago
- Multi-fidelity Generative Deep Learning Turbulent Flows☆37Updated 5 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆92Updated 5 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆39Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆75Updated 2 years ago
- ☆25Updated 5 years ago