maziarraissi / ParametricGP-in-MatlabLinks
Parametric Gaussian Process Regression for Big Data (Matlab Version)
☆24Updated 7 years ago
Alternatives and similar repositories for ParametricGP-in-Matlab
Users that are interested in ParametricGP-in-Matlab are comparing it to the libraries listed below
Sorting:
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- Tutorial on Gaussian Processes☆62Updated 5 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Koopman Mode Decomposition☆73Updated 8 years ago
- Bayesian System IDentification☆28Updated 7 years ago
- Machine learning of linear differential equations using Gaussian processes☆23Updated 7 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Deep Learning application to the partial differential equations☆30Updated 7 years ago
- Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition☆40Updated 3 years ago
- Compressive dynamic mode decomposition with control for compressive system identification☆40Updated 7 years ago
- Deep Gaussian Processes in matlab☆93Updated 4 years ago
- A hands-on tutorial on supervised learning with Gaussian processes☆37Updated 5 years ago
- Polynomial Chaos Expansion Toolbox for MATLAB☆34Updated 2 months ago
- ☆30Updated 7 years ago
- Bayesian Dynamic Mode Decomposition (Bayesian DMD)☆18Updated 3 years ago
- Bayesian optimization and active learning with likelihood-weighted acquisition functions☆15Updated last year
- Multi-Information Source Optimization☆24Updated 6 years ago
- Dynamic Mode Decomposition☆60Updated 8 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆51Updated 9 years ago
- State-space deep Gaussian processes in Python and Matlab☆30Updated 3 years ago
- ☆14Updated 3 years ago
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆37Updated 3 years ago
- multifidelity global sensitivity analysis☆17Updated 3 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆75Updated 4 years ago
- A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269☆43Updated 7 years ago
- A Matlab package for computing the optimal mode decomposition (OMD) or dynamic mode decomposition (DMD).☆15Updated 8 years ago
- Matlab implementation of the EM and MCMC algorithm for SVMs as introduced in the paper "Data augmentation for support vector machines"☆17Updated 10 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Updated 4 years ago
- Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…☆54Updated 6 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago