GitHub - benjmuller/Non-stationary-GP: Implementations of stationary Gaussian Processes (optimisation using NLL, HMC, and LOO-CV) and non-stationary Gaussian Processes (Treed GP, Composite GP, Kernel Mixture GP, and Deep GP).

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Implementations of stationary Gaussian Processes (optimisation using NLL, HMC, and LOO-CV) and non-stationary Gaussian Processes (Treed GP, Composite GP, Kernel Mixture GP, and Deep GP).

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
BaseGP.py		BaseGP.py
CompositeGP.py		CompositeGP.py
DeepGP.py		DeepGP.py
GaussianProcess.py		GaussianProcess.py
JaxKernels.py		JaxKernels.py
JaxMeans.py		JaxMeans.py
KernelMixtureGP.py		KernelMixtureGP.py
Kernels.py		Kernels.py
Means.py		Means.py
RJMCMC.py		RJMCMC.py
Tree.py		Tree.py
TreedGP.py		TreedGP.py

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Implementations of stationary Gaussian Processes (optimisation using NLL, HMC, and LOO-CV) and non-stationary Gaussian Processes (Treed GP, Composite GP, Kernel Mixture GP, and Deep GP).

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