mohammadkazem-sadoughi / Multi-output-Gaussian-ProcessLinks
☆15Updated 6 years ago
Alternatives and similar repositories for Multi-output-Gaussian-Process
Users that are interested in Multi-output-Gaussian-Process are comparing it to the libraries listed below
Sorting:
- multivariate Gaussian process regression and multivariate Student-t process regression☆75Updated 4 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆71Updated 8 years ago
- Gaussian Process Model Dynamic System Identification Toolbox for Matlab☆94Updated 8 years ago
- An Intuitive Tutorial to Gaussian Processes Regression☆647Updated last year
- Streaming sparse Gaussian process approximations☆68Updated 3 years ago
- Gaussian Processes regression with gaussian kernel implementation.☆26Updated 10 years ago
- Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the tempora…☆39Updated 7 years ago
- ☆288Updated 5 years ago
- Gaussian Process Regression using GPML toolbox☆35Updated 5 years ago
- Multi-Output Gaussian Process Toolkit☆176Updated 4 months ago
- Accompanying code for "State Estimation of a Physical System without Governing Equations"☆90Updated last year
- Subspace methods for MIMO system identification☆66Updated 6 years ago
- Tutorial on Gaussian Processes☆62Updated 5 years ago
- A package for computing data-driven approximations to the Koopman operator.☆387Updated 11 months ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆79Updated last year
- Koopman Reduced-Order Nonlinear Identification and Control☆91Updated 5 years ago
- Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart☆218Updated 5 years ago
- A highly efficient and modular implementation of Gaussian Processes in PyTorch☆16Updated 5 years ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆151Updated 5 years ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆122Updated last year
- Multiple output Gaussian processes in MATLAB including the latent force model.☆52Updated 9 years ago
- MPC with Gaussian Process☆224Updated 6 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆78Updated 3 years ago
- Neural Extended Kalman Filters☆16Updated 2 years ago
- Bayesian optimization and active learning with likelihood-weighted acquisition functions☆15Updated last year
- MIVor: An innovative adaptive Kriging approach for efficient problem classification.☆18Updated 5 years ago
- matlab code achieving Hierarchical Kriging model (a kind of variable fidelity surrogate, which can be regard as an improved version of co…☆23Updated 6 years ago
- MATLAB implementation of standard particle filter, auxiliary particle filter, mixture particle filter, and out-of-sequence particle filte…☆36Updated 6 years ago
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆153Updated 4 years ago
- neural networks to learn Koopman eigenfunctions☆437Updated last year