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

• Magica-Chen / gptp_multi_output
  multivariate Gaussian process regression and multivariate Student-t process regression
  ☆73Updated 3 years ago
• HildoBijl / GPRT
  Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.
  ☆72Updated 7 years ago
• MarcoTodescato / Efficient-GP-Regression-via-Kalman-Filtering
  Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the tempora…
  ☆39Updated 6 years ago
• manschuer / SRGP
  stochastic recursive Gaussian Process (SRGP)
  ☆20Updated 4 years ago
• iqiukp / Gaussian-Process-Regression
  Gaussian Process Regression using GPML toolbox
  ☆35Updated 5 years ago
• SheffieldML / multigp
  Multiple output Gaussian processes in MATLAB including the latent force model.
  ☆49Updated 9 years ago
• Dynamic-Systems-and-GP / GPdyn
  Gaussian Process Model Dynamic System Identification Toolbox for Matlab
  ☆93Updated 7 years ago
• XueYifan1995 / UMV-HLAR
  ☆12Updated last year
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆64Updated 2 years ago
• gligorijevic / GaussianProcesses
  Gaussian Processes regression with gaussian kernel implementation.
  ☆26Updated 10 years ago
• maziarraissi / TutorialGP
  Tutorial on Gaussian Processes
  ☆62Updated 5 years ago
• compops / gpo-ifac2014
  Particle filter-based Gaussian process optimisation for parameter inference
  ☆11Updated 7 years ago
• GAMES-UChile / mogptk
  Multi-Output Gaussian Process Toolkit
  ☆170Updated last year
• Weizhe-Chen / OSGPR
  GPyTorch Implementation of Online Sparse Gaussian Process Regression
  ☆10Updated last year
• eurika-kaiser / KRONIC
  Koopman Reduced-Order Nonlinear Identification and Control
  ☆88Updated 5 years ago
• wangjz131 / H_Kriging
  matlab code achieving Hierarchical Kriging model (a kind of variable fidelity surrogate, which can be regard as an improved version of co…
  ☆21Updated 5 years ago
• Alro10 / MOESP-and-N4SID
  Subspace methods for MIMO system identification
  ☆63Updated 5 years ago
• zhandawei / Incremental_Kriging_Assisted_Evolutionary_Algorithm
  A fast Kriging-assisted evolutionary algorithm based on incremental learning
  ☆33Updated 4 months ago
• HildoBijl / SONIG
  Matlab source code for the SONIG algorithm: Sparse Online Noisy-Input Gaussian process regression.
  ☆28Updated 7 years ago
• ArizaWilmerUTAS / Multi-Output-GPs-Identification-SHIP
  System indetification of Ship Dynamic System with Multi Output Gaussian Processes
  ☆16Updated 4 years ago
• panweihit / BSID
  Bayesian System IDentification
  ☆28Updated 7 years ago
• arbabiha / KoopmanMPC_for_flowcontrol
  A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control
  ☆136Updated 4 years ago
• FuhgJan / AdaptiveMIVor
  MIVor: An innovative adaptive Kriging approach for efficient problem classification.
  ☆18Updated 5 years ago
• Xiao-dong-Wang / Multifidelity-GP
  Multi-fidelity Gaussian Process
  ☆26Updated 4 years ago
• coursekevin / svise
  Accompanying code for "State Estimation of a Physical System without Governing Equations"
  ☆85Updated 9 months ago
• zgbkdlm / ssdgp
  State-space deep Gaussian processes in Python and Matlab
  ☆30Updated 2 years ago
• flowdiagnosticsitb / KADAL
  Kriging for Analysis, Design optimization, And expLoration (KADAL)
  ☆18Updated 3 years ago
• jumlauft / Safe-Online-Learning-for-Gaussian-Processes
  The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…
  ☆45Updated 3 years ago
• erichanslee / GP_Derivatives
  Scalable Gaussian Process Regression with Derivatives
  ☆38Updated 6 years ago
• XiaoyangShen / SparseGPR
  Implementation of Standard Gaussian Process Regression(GPR) and Sparse GPR in Matlab.
  ☆12Updated 7 years ago