Alternatives and similar repositories for gpml

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

• erichanslee / GP_Derivatives
  Scalable Gaussian Process Regression with Derivatives
  ☆38Updated 7 years ago
• SheffieldML / GPmat
  Matlab implementations of Gaussian processes and other machine learning tools.
  ☆144Updated 8 years ago
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆69Updated 3 years ago
• OxfordML / GPz
  GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
  ☆49Updated 4 years ago
• SheffieldML / GPc
  Gaussian process code in C++ including some implementations of GP-LVM and IVM.
  ☆71Updated 4 years ago
• libDirectional / libDirectional
  Matlab library for directional statistics and directional estimation
  ☆57Updated last year
• gpstuff-dev / gpstuff
  GPstuff - Gaussian process models for Bayesian analysis
  ☆175Updated 3 years ago
• VBayesLab / VBLab
  Official documentation
  ☆32Updated 4 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 7 years ago
• manschuer / SRGP
  stochastic recursive Gaussian Process (SRGP)
  ☆20Updated 5 years ago
• zi-w / Max-value-Entropy-Search
  Max-value Entropy Search for Efficient Bayesian Optimization
  ☆80Updated 3 years ago
• duvenaud / phd-thesis
  I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth
  ☆189Updated 11 years ago
• SheffieldML / multigp
  Multiple output Gaussian processes in MATLAB including the latent force model.
  ☆52Updated 10 years ago
• jonfink / GP
  C++ implementation of Gaussian process regression
  ☆81Updated 10 years ago
• sorooshafiee / WKF
  ☆16Updated 7 years ago
• sursu / Bayesian-Filtering
  Bayesian Filtering & Smoothing demos
  ☆19Updated 6 years ago
• hoonose / robust-filter
  [ICML 2017] Robust estimation of mean and covariance in high dimensions
  ☆33Updated 5 years ago
• oxfordcontrol / Bayesian-Optimization
  Reference implementation of Optimistic Expected Improvement.
  ☆50Updated 5 years ago
• EEA-sensors / Bayesian-Filtering-and-Smoothing
  Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson
  ☆82Updated last year
• sqlp / sedumi
  SeDuMi: A linear/quadratic/semidefinite solver for Matlab and Octave
  ☆262Updated last year
• jacobnzw / SSMToybox
  Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature
  ☆12Updated 4 years ago
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆64Updated 4 years ago
• cvxgrp / auto_ks
  Repository for "Fitting a Kalman Smoother to Data"
  ☆61Updated last year
• Eric-Bradford / UKF-SNMPC
  This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).
  ☆62Updated 3 years ago
• nw2190 / CppGPs
  Implementation of Numerical Gaussian Processes in C++
  ☆31Updated 6 years ago
• resibots / limbo
  A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)
  ☆260Updated 2 years ago
• yanshuaicao / gp_cholqr
  code for "Efficient Optimization for Sparse Gaussian Process Regression"
  ☆21Updated 12 years ago
• KIT-ISAS / NonlinearEstimationToolbox
  Nonlinear Estimation Toolbox
  ☆16Updated 2 years ago
• linesd / SSGPR
  Sparse Spectrum Gaussian Process Regression
  ☆25Updated 5 years ago
• whuang08 / ROPTLIB
  ROPTLIB: Riemannian Manifold Optimization Library
  ☆79Updated 5 years ago