paraklas / NARGPLinks
Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.
☆66Updated 8 years ago
Alternatives and similar repositories for NARGP
Users that are interested in NARGP are comparing it to the libraries listed below
Sorting:
- ☆37Updated last year
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- ☆63Updated 6 years ago
- Tools to construct surrogate models based on Hermitian polynomial bases. Includes full-factorial and sparse polynomial chaos expansions v…☆10Updated 6 years ago
- Multi-fidelity classification with Gaussian process☆17Updated 2 years ago
- Multi Fidelity Monte Carlo☆24Updated 5 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆32Updated 4 years ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆146Updated 5 years ago
- ☆46Updated 3 years ago
- Multi-fidelity reduced-order surrogate modeling☆24Updated 2 months ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- ☆41Updated 2 years ago
- Multi-fidelity probability machine learning☆18Updated 7 months ago
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- Multifidelity Kriging, Efficient Global Optimization☆18Updated 6 years ago
- Multi-fidelity Gaussian Process☆27Updated 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…☆41Updated 2 years ago
- Multi-fidelity Generative Deep Learning Turbulent Flows☆38Updated 4 years ago
- ☆187Updated 4 months ago
- Tutorial on Gaussian Processes☆62Updated 5 years ago
- The VECMA toolkit for creating surrogate models of multiscale systems.☆19Updated 7 months ago
- ☆116Updated 6 years ago
- A hands-on tutorial on supervised learning with Gaussian processes☆38Updated 5 years ago
- Easy Reduced Basis method☆86Updated last month
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆63Updated 3 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆55Updated 2 years ago
- ☆130Updated 3 years ago
- ☆21Updated 4 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆63Updated 3 years ago