Alternatives and similar repositories for gpstuff:

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

• SheffieldML / multigp
  Multiple output Gaussian processes in MATLAB including the latent force model.
  ☆49Updated 9 years ago
• Magica-Chen / gptp_multi_output
  multivariate Gaussian process regression and multivariate Student-t process regression
  ☆70Updated 3 years ago
• SheffieldML / GPmat
  Matlab implementations of Gaussian processes and other machine learning tools.
  ☆136Updated 7 years ago
• rmgarnett / gpml_extensions
  Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.
  ☆31Updated 7 years ago
• RogerFrigola / VGPSSM
  Variational Gaussian Process State-Space Models
  ☆23Updated 9 years ago
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆62Updated 2 years ago
• SheffieldML / PyDeepGP
  Deep Gaussian Processes in Python
  ☆232Updated 3 years ago
• brian-lau / MatlabStan
  Matlab interface to Stan, a package for Bayesian inference
  ☆81Updated last year
• acerbilab / vbmc
  Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
  ☆221Updated last year
• maziarraissi / TutorialGP
  Tutorial on Gaussian Processes
  ☆62Updated 4 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
• SheffieldML / deepGP
  Deep Gaussian Processes in matlab
  ☆91Updated 3 years ago
• jamesrobertlloyd / gpss-research
  Kernel structure discovery research code - likely to be unstable
  ☆190Updated 9 years ago
• pmorenoz / HetMOGP
  Heterogeneous Multi-output Gaussian Processes
  ☆51Updated 4 years ago
• avehtari / BDA_m_demos
  Bayesian Data Analysis demos for Matlab/Octave
  ☆63Updated 5 years ago
• jamesrobertlloyd / gp-structure-search
  ☆231Updated 7 years ago
• erichanslee / GP_Derivatives
  Scalable Gaussian Process Regression with Derivatives
  ☆38Updated 6 years ago
• UCL-SML / Doubly-Stochastic-DGP
  Deep Gaussian Processes with Doubly Stochastic Variational Inference
  ☆148Updated 5 years ago
• aki-nishimura / NUTS-matlab
  ☆15Updated 7 years ago
• gligorijevic / GaussianProcesses
  Gaussian Processes regression with gaussian kernel implementation.
  ☆25Updated 10 years ago
• trungngv / gprn
  Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'
  ☆22Updated 11 years ago
• zgbkdlm / dissertation
  Zheng Zhao's doctoral dissertation from Aalto University
  ☆34Updated 2 years ago
• OxfordML / GPz
  GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
  ☆48Updated 3 years ago
• chengl7 / LonGP
  Gaussian process regression + automatical model selection for logitudinal -omics data
  ☆21Updated 3 years ago
• ziyuw / rembo
  Bayesian optimization in high-dimensions via random embedding.
  ☆113Updated 11 years ago
• thangbui / sparseGP_powerEP
  Unifying sparse approximations for Gaussian process regression and classification, using Power EP
  ☆22Updated 8 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
• HildoBijl / GPRT
  Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.
  ☆72Updated 7 years ago
• zi-w / Max-value-Entropy-Search
  Max-value Entropy Search for Efficient Bayesian Optimization
  ☆71Updated 2 years ago
• panweihit / BSID
  Bayesian System IDentification
  ☆28Updated 6 years ago