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dfm/tinygp: The tiniest of Gaussian Process libraries

integration_instructionsResearch softwarekeyboard_double_arrow_right Software Under curationPublisher:Zenodo
Authors: Foreman-Mackey, Daniel; Weixiang Yu; Yadav, Sachin; Becker, McCoy Reynolds; Caplar, Neven; Huppenkothen, Daniela; Killestein, Thomas; +3 Authors

doi: 10.5281/zenodo.19035246

dfm/tinygp: The tiniest of Gaussian Process libraries

Abstract

tinygp is an extremely lightweight library for building Gaussian Process (GP) models in Python, built on top of JAX. It has a nice interface, and it's pretty fast. Thanks to JAX, tinygp supports things like GPU acceleration and automatic differentiation. Check out the docs for more info: https://tinygp.readthedocs.io

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