MarcoTodescato / Efficient-GP-Regression-via-Kalman-FilteringLinks
Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the temporal part of the space-time process while, standard GP regression is used for the spatial part
☆39Updated 7 years ago
Alternatives and similar repositories for Efficient-GP-Regression-via-Kalman-Filtering
Users that are interested in Efficient-GP-Regression-via-Kalman-Filtering are comparing it to the libraries listed below
Sorting:
- MATLAB implementation of standard particle filter, auxiliary particle filter, mixture particle filter, and out-of-sequence particle filte…☆36Updated 6 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆76Updated 4 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆71Updated 8 years ago
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆12Updated 4 years ago
- Particle filter-based Gaussian process optimisation for parameter inference☆11Updated 8 years ago
- Bayesian System IDentification☆27Updated 7 years ago
- Gaussian Process Model Dynamic System Identification Toolbox for Matlab☆94Updated 8 years ago
- Sparse Spectrum Gaussian Process Regression☆24Updated 5 years ago
- ☆16Updated 7 years ago
- Matlab source code for the SONIG algorithm: Sparse Online Noisy-Input Gaussian process regression.☆28Updated 8 years ago
- State-space deep Gaussian processes in Python and Matlab☆30Updated 3 years ago
- System indetification of Ship Dynamic System with Multi Output Gaussian Processes☆17Updated 5 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆17Updated 7 years ago
- Matlab codes for paper entitled "Distributed Hybrid Consensus-Based Square-Root Cubature Quadrature Information Filter and Its Applicatio…☆12Updated 6 years ago
- stochastic recursive Gaussian Process (SRGP)☆20Updated 5 years ago
- Gaussian Processes regression with gaussian kernel implementation.☆27Updated 11 years ago
- GPstuff - Gaussian process models for Bayesian analysis☆175Updated 2 years ago
- Extended Kalman filter for training neural-networks☆96Updated 5 years ago
- Gaussian Process Regression using GPML toolbox☆36Updated 5 years ago
- Official documentation☆31Updated 4 years ago
- fractional Kalman filter algorithms source code for SISO fractional order systems, including: fractional extended Kalman filter (FEKF), f…☆34Updated 4 years ago
- Streaming sparse Gaussian process approximations☆68Updated 3 years ago
- Matlab implementation of the Bayesian Fuzzy Clustering algorithms. See related paper, doi: 10.1109/TFUZZ.2014.2370676☆25Updated 6 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆60Updated 2 years ago
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆48Updated 4 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆52Updated 10 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆142Updated 8 years ago
- The project uses a nonlinear autoregressive exogenous (NARX), model to make time-series prediction on data obtained from drive cycling te…☆39Updated 2 years ago
- Scalable Gaussian Process Regression with Derivatives☆38Updated 6 years ago
- Localization using event-triggered diffusion kalman filter based on UWB realdata☆27Updated 5 years ago