Alternatives and similar repositories for gp_cholqr

Users that are interested in gp_cholqr are comparing it to the libraries listed below

• HildoBijl / SONIG
  Matlab source code for the SONIG algorithm: Sparse Online Noisy-Input Gaussian process regression.
  ☆29Updated 8 years ago
• SheffieldML / GPmat
  Matlab implementations of Gaussian processes and other machine learning tools.
  ☆144Updated 8 years ago
• SheffieldML / multigp
  Multiple output Gaussian processes in MATLAB including the latent force model.
  ☆52Updated 10 years ago
• Magica-Chen / gptp_multi_output
  multivariate Gaussian process regression and multivariate Student-t process regression
  ☆77Updated last month
• 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 7 years ago
• SheffieldML / deepGP
  Deep Gaussian Processes in matlab
  ☆93Updated 4 years ago
• zi-w / Max-value-Entropy-Search
  Max-value Entropy Search for Efficient Bayesian Optimization
  ☆80Updated 3 years ago
• zi-w / GP-EST
  Bayesian optimization with the Gaussian process assumption
  ☆30Updated 9 years ago
• Dynamic-Systems-and-GP / GPdyn
  Gaussian Process Model Dynamic System Identification Toolbox for Matlab
  ☆94Updated 8 years ago
• alshedivat / gpml
  An up-to-date version of GPML library.
  ☆37Updated 6 years ago
• bentoayr / ADMM-tutorial
  ☆34Updated 2 years ago
• ebonilla / mtgp
  Multi-task Gaussian Process
  ☆45Updated 11 years ago
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆69Updated 3 years ago
• jstraub / dpMMlowVar
  Bayesian nonparametric small-variance asymptotic clustering algorithms
  ☆20Updated 8 years ago
• panweihit / BSID
  Bayesian System IDentification
  ☆27Updated 8 years ago
• keskarnitish / minSQN
  Optimization using Stochastic quasi-Newton methods
  ☆42Updated 8 years ago
• gpstuff-dev / gpstuff
  GPstuff - Gaussian process models for Bayesian analysis
  ☆175Updated 3 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆67Updated 3 years ago
• tamland / non-linear-optimization
  Implementation of Steepest Descent, Newton, Quasi-Newton and Conjugate Gradient for non-linear unconstrained optimization
  ☆28Updated 13 years ago
• HildoBijl / GPRT
  Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.
  ☆72Updated 8 years ago
• SheffieldML / hgplvm
  Hierarchical Gaussian process latent variable model.
  ☆18Updated 4 years ago
• mebden / GPtutorial
  Matlab code for the introduction to Gaussian processes, 2008
  ☆30Updated 10 years ago
• rhymesg / Particle_Filter
  MATLAB implementation of standard particle filter, auxiliary particle filter, mixture particle filter, and out-of-sequence particle filte…
  ☆35Updated 6 years ago
• jacobnzw / SSMToybox
  Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature
  ☆12Updated 4 years ago
• chokkyvista / daSVM
  Matlab implementation of the EM and MCMC algorithm for SVMs as introduced in the paper "Data augmentation for support vector machines"
  ☆18Updated 11 years ago
• RogerFrigola / VGPSSM
  Variational Gaussian Process State-Space Models
  ☆25Updated 10 years ago
• SetarehAr / ADMMBO
  An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''
  ☆23Updated 6 years ago
• KIT-ISAS / NonlinearEstimationToolbox
  Nonlinear Estimation Toolbox
  ☆16Updated 2 years ago
• compops / gpo-ifac2014
  Particle filter-based Gaussian process optimisation for parameter inference
  ☆11Updated 8 years ago
• yrlu / non-convex
  Self-contained implementation of non-convex optimization algorithms in Python. Steepest Descent, Conjugate Gradient, Newton's Method, Qua…
  ☆82Updated 4 years ago