gaussian-process-optimisation
There are 0 repository under gaussian-process-optimisation topic.
stk-kriging / stk
The STK is a (not so) Small Toolbox for Kriging. Its primary focus is on the interpolation/regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior.
Language:MATLAB 37compops / gpo-smc-abc
Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
Language:Python 12Particle filter-based Gaussian process optimisation for parameter inference
Language:MATLAB 10cglanzer / bayesian-global-optimization
Implementation of the Expected Improvement and the Gaussian Process Upper Confidence Bound algorithm in MATLAB, as part of my Bachelor thesis @ ETHZ in 2014.
Language:MATLAB 7luke321321 / inversemcmc
Gaussian Process approximator in Bayesian inverse problems (MCMC)
Language:Python 7Akatsuki96 / adabkb
Implementation of Ada-BKB a scalable Gaussian Process bandit optimization algorithm
Language:Python 3kjanjua26 / Gaussian_Processes_Playground
This is a repository for implementing various Gaussian Processes (GPs) and also some notes regarding GPs from different lectures.
Language:Jupyter Notebook