Alternatives and similar repositories for SONIG

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

• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆68Updated 3 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
• HildoBijl / GPRT
  Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.
  ☆71Updated 8 years ago
• jacobnzw / SSMToybox
  Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature
  ☆12Updated 4 years ago
• Magica-Chen / gptp_multi_output
  multivariate Gaussian process regression and multivariate Student-t process regression
  ☆75Updated 4 years ago
• Dynamic-Systems-and-GP / GPdyn
  Gaussian Process Model Dynamic System Identification Toolbox for Matlab
  ☆94Updated 8 years ago
• zi-w / Max-value-Entropy-Search
  Max-value Entropy Search for Efficient Bayesian Optimization
  ☆78Updated 3 years ago
• SheffieldML / GPmat
  Matlab implementations of Gaussian processes and other machine learning tools.
  ☆139Updated 8 years ago
• yanshuaicao / gp_cholqr
  code for "Efficient Optimization for Sparse Gaussian Process Regression"
  ☆21Updated 11 years ago
• sorooshafiee / WKF
  ☆16Updated 7 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 7 years ago
• panweihit / BSID
  Bayesian System IDentification
  ☆28Updated 7 years ago
• SetarehAr / ADMMBO
  An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''
  ☆22Updated 6 years ago
• ArizaWilmerUTAS / Multi-Output-GPs-Identification-SHIP
  System indetification of Ship Dynamic System with Multi Output Gaussian Processes
  ☆16Updated 5 years ago
• SheffieldML / multigp
  Multiple output Gaussian processes in MATLAB including the latent force model.
  ☆51Updated 9 years ago
• AaltoML / IHGP
  Infinite-horizon Gaussian processes
  ☆33Updated 5 years ago
• thangbui / sparseGP_powerEP
  Unifying sparse approximations for Gaussian process regression and classification, using Power EP
  ☆22Updated 8 years ago
• sisl / variational_koopman
  Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…
  ☆42Updated 6 years ago
• erichanslee / GP_Derivatives
  Scalable Gaussian Process Regression with Derivatives
  ☆38Updated 6 years ago
• gpstuff-dev / gpstuff
  GPstuff - Gaussian process models for Bayesian analysis
  ☆175Updated 2 years ago
• chennnnnyize-zz / Optimal-Control-via-Neural-Networks
  Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach
  ☆83Updated 6 years ago
• SheffieldML / deepGP
  Deep Gaussian Processes in matlab
  ☆93Updated 4 years ago
• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆48Updated 4 years ago
• zgbkdlm / ssdgp
  State-space deep Gaussian processes in Python and Matlab
  ☆30Updated 3 years ago
• dgedon / DeepSSM_SysID
  Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
  ☆96Updated 3 years ago
• alshedivat / gpml
  An up-to-date version of GPML library.
  ☆37Updated 6 years ago
• befelix / SafeOpt
  Safe Bayesian Optimization
  ☆148Updated 2 years ago
• JoeMWatson / input-inference-for-control
  Input Inference for Control (i2c), a control-as-inference framework for optimal control
  ☆25Updated 2 years ago
• StanfordASL / SNDL
  Stabilizable Nonlinear Dynamics Learning
  ☆22Updated 5 years ago
• LeeLinJun / KoopmanControl
  ☆19Updated 5 years ago