kerembkr / BoostedGPR Public

Notifications You must be signed in to change notification settings
Fork 0
Star 0

Using Linear Algebra Techniques to accelerate Gaussian Process Regression

0 stars 0 forks Branches Tags Activity

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 94 Commits
.idea		.idea
docs		docs
examples		examples
output		output
src		src
tests		tests
LICENSE		LICENSE
README.md		README.md
requirements.txt		requirements.txt
setup.py		setup.py

Repository files navigation

BoostedGPR

Using Linear Algebra Techniques to accelerate Gaussian Process Regression

Basic Linear Algebra

Cholesky Decomposition
Matrix Inversion
Linear System Problems
Singular Value Decomposition
Probabilistic Methods

Preconditioning

Incomplete Cholesky
Incomplete LU
Preconditioned Conjugate Gradient

About

Using Linear Algebra Techniques to accelerate Gaussian Process Regression

machine-learning linear-algebra supervised-learning high-performance-computing gaussian-processes

Report repository

Releases

No releases published

Packages

No packages published

Languages

Python 100.0%