sjvrijn / mf2
Collection of Multi-Fidelity benchmark functions
☆27Updated 8 months ago
Alternatives and similar repositories for mf2:
Users that are interested in mf2 are comparing it to the libraries listed below
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆30Updated 4 years ago
- A Multi-objective Multi-fidelity acquisition function for Bayesian optimization based on EHVI method.☆10Updated 2 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆29Updated 2 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆68Updated 4 years ago
- Multifidelity Kriging, Efficient Global Optimization☆18Updated 6 years ago
- ☆37Updated last year
- Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.☆63Updated 8 years ago
- Multi-fidelity classification with Gaussian process☆16Updated last year
- Multi-fidelity regression with neural networks☆12Updated 5 months ago
- Multi-fidelity reduced-order surrogate modeling☆22Updated last week
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆52Updated last year
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆56Updated 4 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆48Updated 4 years ago
- ☆62Updated 5 years ago
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆37Updated 2 years ago
- ☆21Updated 4 years ago
- Multi-fidelity Gaussian Process☆26Updated 4 years ago
- Python Library for Generalized Gaussian Process Modeling☆24Updated last month
- ☆18Updated 4 years ago
- AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)☆42Updated 2 years ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 4 years ago
- Tutorial on Gaussian Processes☆62Updated 5 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 neural network☆18Updated last year
- The public repository about our joint FINN research project☆36Updated 2 years ago
- ☆37Updated last year
- ☆41Updated 5 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆30Updated 2 years ago