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[ascl:2310.001] celerite2: Fast and scalable Gaussian Processes in one dimension

celerite2 is a re-write of celerite (ascl:1709.008), an algorithm for fast and scalable Gaussian Process (GP) Regression in one dimension. celerite2 improves numerical stability and integration with various machine learning frameworks. The implementation includes interfaces in Python and C++, with full support for PyMC (ascl:1610.016) and JAX (ascl:2111.002).

Code site:
https://github.com/exoplanet-dev/celerite2 https://celerite2.readthedocs.io
Described in:
https://ui.adsabs.harvard.edu/abs/2017AJ....154..220F https://ui.adsabs.harvard.edu/abs/2018RNAAS...2...31F
Bibcode:
2023ascl.soft10001F

Views: 706

ascl:2310.001
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