Alternatives and similar repositories for gpml:

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

• OxfordML / GPz
  GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
  ☆48Updated 3 years ago
• SheffieldML / GPmat
  Matlab implementations of Gaussian processes and other machine learning tools.
  ☆137Updated 7 years ago
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆62Updated 2 years ago
• erichanslee / GP_Derivatives
  Scalable Gaussian Process Regression with Derivatives
  ☆38Updated 6 years ago
• SheffieldML / multigp
  Multiple output Gaussian processes in MATLAB including the latent force model.
  ☆49Updated 9 years ago
• sursu / Bayesian-Filtering
  Bayesian Filtering & Smoothing demos
  ☆18Updated 5 years ago
• gpstuff-dev / gpstuff
  GPstuff - Gaussian process models for Bayesian analysis
  ☆172Updated 2 years ago
• zi-w / Max-value-Entropy-Search
  Max-value Entropy Search for Efficient Bayesian Optimization
  ☆71Updated 2 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…
  ☆38Updated 6 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
  ☆68Updated last year
• yanshuaicao / gp_cholqr
  code for "Efficient Optimization for Sparse Gaussian Process Regression"
  ☆21Updated 11 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
  ☆181Updated 10 years ago
• rmgarnett / gpml_extensions
  Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.
  ☆31Updated 7 years ago
• thangbui / sparseGP_powerEP
  Unifying sparse approximations for Gaussian process regression and classification, using Power EP
  ☆22Updated 8 years ago
• HildoBijl / SONIG
  Matlab source code for the SONIG algorithm: Sparse Online Noisy-Input Gaussian process regression.
  ☆28Updated 7 years ago
• SheffieldML / GPc
  Gaussian process code in C++ including some implementations of GP-LVM and IVM.
  ☆68Updated 3 years ago
• oxfordcontrol / Bayesian-Optimization
  Reference implementation of Optimistic Expected Improvement.
  ☆50Updated 4 years ago
• Joshuaalbert / heterogp
  Provides a heteroscedastic noise latent for a sparse variational Gaussian process using GPflow
  ☆13Updated 4 years ago
• MethodsOfMachineLearning / entropy-search
  Entropy Search for Information-Efficient Global Optimization - JMLR v13
  ☆29Updated 7 years ago
• HildoBijl / GPRT
  Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.
  ☆72Updated 7 years ago
• sorooshafiee / WKF
  ☆14Updated 6 years ago
• VBayesLab / VBLab
  Official documentation
  ☆28Updated 3 years ago
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆58Updated 3 years ago
• libDirectional / libDirectional
  Matlab library for directional statistics and directional estimation
  ☆56Updated 9 months ago
• jacobnzw / SSMToybox
  Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature
  ☆13Updated 3 years ago
• linesd / SSGPR
  Sparse Spectrum Gaussian Process Regression
  ☆21Updated 4 years ago
• acerbilab / vbmc
  Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
  ☆222Updated last year
• manschuer / SRGP
  stochastic recursive Gaussian Process (SRGP)
  ☆20Updated 4 years ago
• anassinator / gp
  Differentiable Gaussian Process implementation for PyTorch
  ☆22Updated 6 years ago
• Magica-Chen / gptp_multi_output
  multivariate Gaussian process regression and multivariate Student-t process regression
  ☆72Updated 3 years ago