Summary notebooks using derivative gaussian processes with tinygp. We implement a 2D derivative gaussian process and successfully use derivatives to regularize SVI fits with a gaussian process model..
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Updated
May 16, 2024 - Jupyter Notebook
Summary notebooks using derivative gaussian processes with tinygp. We implement a 2D derivative gaussian process and successfully use derivatives to regularize SVI fits with a gaussian process model..
Bayesian inference using sparse gaussian processes from tinygp. Examples include 1D and 2D implementation.
Reusable Odoo mixin module that automatically generates customizable reference codes with sequences. Demonstrates the power of mixins to easily add features to any model, promoting code reuse and faster development without duplication.
Scripts to automate my work because I'm super lazy and coding is easier than working.
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