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Software . 2023
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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Software . 2023
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
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dfm/tinygp: The tiniest of Gaussian Process libraries

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 30 Sep 2023Publisher:Zenodo
Authors: Foreman-Mackey, Daniel; Yadav, Sachin; Becker, McCoy Reynolds; Killestein, Thomas; Rashid, Theo; Schmerler, Steve; Tronsgaard, René; +1 Authors

doi: 10.5281/zenodo.8395418

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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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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