Magica-Chen / gptp_multi_output

Related projects ⓘ

Alternatives and complementary repositories for gptp_multi_output

• SheffieldML / multigp
  Multiple output Gaussian processes in MATLAB including the latent force model.
  ☆49Updated 8 years ago
• iqiukp / Gaussian-Process-Regression
  Gaussian Process Regression using GPML toolbox
  ☆28Updated 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…
  ☆37Updated 6 years ago
• gligorijevic / GaussianProcesses
  Gaussian Processes regression with gaussian kernel implementation.
  ☆25Updated 9 years ago
• HildoBijl / GPRT
  Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.
  ☆69Updated 7 years ago
• mksadoughi / Multi-output-Gaussian-Process
  ☆14Updated 5 years ago
• panweihit / BSID
  Bayesian System IDentification
  ☆27Updated 6 years ago
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆62Updated 2 years ago
• Dynamic-Systems-and-GP / GPdyn
  Gaussian Process Model Dynamic System Identification Toolbox for Matlab
  ☆87Updated 7 years ago
• ablancha / gpsearch
  Bayesian optimization and active learning with likelihood-weighted acquisition functions
  ☆13Updated 4 months ago
• zi-w / Max-value-Entropy-Search
  Max-value Entropy Search for Efficient Bayesian Optimization
  ☆68Updated 2 years ago
• gpstuff-dev / gpstuff
  GPstuff - Gaussian process models for Bayesian analysis
  ☆170Updated last year
• zgbkdlm / ssdgp
  State-space deep Gaussian processes in Python and Matlab
  ☆29Updated 2 years ago
• Ulti-Dreisteine / gaussian-process-regression
  高斯过程回归
  ☆75Updated 2 years ago
• maziarraissi / TutorialGP
  Tutorial on Gaussian Processes
  ☆60Updated 4 years ago
• HildoBijl / SONIG
  Matlab source code for the SONIG algorithm: Sparse Online Noisy-Input Gaussian process regression.
  ☆27Updated 7 years ago
• pmorenoz / HetMOGP
  Heterogeneous Multi-output Gaussian Processes
  ☆51Updated 4 years ago
• Alaya-in-Matrix / NeuralLinear
  Multi-output Gaussian process regression via multi-task neural network
  ☆13Updated 4 years ago
• rmgarnett / gpml_extensions
  Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.
  ☆31Updated 7 years ago
• yanshuaicao / gp_cholqr
  code for "Efficient Optimization for Sparse Gaussian Process Regression"
  ☆20Updated 10 years ago
• alexalex222 / Batch-Process-Soft-Sensor
  Gaussian process regression algorithms for nonlinear system state prediciton
  ☆13Updated 9 years ago
• ebonilla / mtgp
  Multi-task Gaussian Process
  ☆43Updated 9 years ago
• compops / gpo-ifac2014
  Particle filter-based Gaussian process optimisation for parameter inference
  ☆11Updated 6 years ago
• maziarraissi / ParametricGP-in-Matlab
  Parametric Gaussian Process Regression for Big Data (Matlab Version)
  ☆24Updated 6 years ago
• guoliu / optimizer
  MCMC, Differential Evolution Markov Chain, Ensemble Kalman filter, Approximate Bayesian Computing-Population Monte Carlo, and modeling av…
  ☆36Updated 9 years ago
• OxfordML / GPz
  GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
  ☆45Updated 3 years ago
• SheffieldML / GPmat
  Matlab implementations of Gaussian processes and other machine learning tools.
  ☆132Updated 7 years ago
• Xiao-dong-Wang / Multifidelity-GP
  Multi-fidelity Gaussian Process
  ☆22Updated 3 years ago
• linesd / SSGPR
  Sparse Spectrum Gaussian Process Regression
  ☆21Updated 4 years ago
• RogerFrigola / VGPSSM
  Variational Gaussian Process State-Space Models
  ☆21Updated 8 years ago