SheffieldML / multigp

Related projects ⓘ

Alternatives and complementary repositories for multigp

• RogerFrigola / VGPSSM
  Variational Gaussian Process State-Space Models
  ☆21Updated 9 years ago
• Magica-Chen / gptp_multi_output
  multivariate Gaussian process regression and multivariate Student-t process regression
  ☆70Updated 3 years ago
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆62Updated 2 years ago
• zi-w / Max-value-Entropy-Search
  Max-value Entropy Search for Efficient Bayesian Optimization
  ☆69Updated 2 years ago
• SheffieldML / deepGP
  Deep Gaussian Processes in matlab
  ☆90Updated 3 years ago
• ebonilla / mtgp
  Multi-task Gaussian Process
  ☆43Updated 9 years ago
• SheffieldML / GPmat
  Matlab implementations of Gaussian processes and other machine learning tools.
  ☆132Updated 7 years ago
• rmgarnett / gpml_extensions
  Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.
  ☆31Updated 7 years ago
• pmorenoz / HetMOGP
  Heterogeneous Multi-output Gaussian Processes
  ☆51Updated 4 years ago
• gpstuff-dev / gpstuff
  GPstuff - Gaussian process models for Bayesian analysis
  ☆170Updated last year
• thangbui / sparseGP_powerEP
  Unifying sparse approximations for Gaussian process regression and classification, using Power EP
  ☆22Updated 8 years ago
• trungngv / gprn
  Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'
  ☆22Updated 10 years ago
• n-takeishi / learning-kis
  Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
  ☆40Updated 2 years ago
• panweihit / BSID
  Bayesian System IDentification
  ☆27Updated 6 years ago
• yanshuaicao / gp_cholqr
  code for "Efficient Optimization for Sparse Gaussian Process Regression"
  ☆20Updated 11 years ago
• UCL-SML / Doubly-Stochastic-DGP
  Deep Gaussian Processes with Doubly Stochastic Variational Inference
  ☆147Updated 5 years ago
• pmorenoz / ContinualGP
  Continual Gaussian Processes
  ☆31Updated last year
• alshedivat / gpml
  An up-to-date version of GPML library.
  ☆32Updated 5 years ago
• chengl7 / LonGP
  Gaussian process regression + automatical model selection for logitudinal -omics data
  ☆21Updated 3 years ago
• SheffieldML / PyDeepGP
  Deep Gaussian Processes in Python
  ☆232Updated 3 years ago
• sheqi / GP-RNN_UAI2019
  Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…
  ☆40Updated last year
• SetarehAr / ADMMBO
  An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''
  ☆20Updated 5 years ago
• OxfordML / GPz
  GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
  ☆45Updated 3 years ago
• zgbkdlm / ssdgp
  State-space deep Gaussian processes in Python and Matlab
  ☆29Updated 2 years ago
• secondmind-labs / markovflow
  A Tensorflow based library for Time Series Modelling with Gaussian Processes
  ☆28Updated 4 months ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆44Updated 4 years ago
• danilkuzin / GP-EnKF
  Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…
  ☆17Updated 6 years ago
• HildoBijl / GPRT
  Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.
  ☆69Updated 7 years ago
• HildoBijl / SONIG
  Matlab source code for the SONIG algorithm: Sparse Online Noisy-Input Gaussian process regression.
  ☆28Updated 7 years ago
• sisl / variational_koopman
  Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…
  ☆37Updated 5 years ago