Published February 16, 2023
| Version v0.2.4rc1
Software
Open
dfm/tinygp: The tiniest of Gaussian Process libraries
Authors/Creators
- 1. Center for Computational Astrophysics, Flatiron Institute, New York, NY, USA
Description
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
Files
dfm/tinygp-v0.2.4rc1.zip
Files
(215.1 kB)
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md5:7f1aa4f08fc88f25d26a120e65fe9cbb
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Additional details
Related works
- Is supplement to
- https://github.com/dfm/tinygp/tree/v0.2.4rc1 (URL)