Sparse Gaussian Process Potentials
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Updated
Jul 16, 2024 - Python
Sparse Gaussian Process Potentials
Minimal Gaussian process library in JAX with a simple (custom) approach to state management.
Actually Sparse Variational Gaussian Processes implemented in GPlow
Software Suite for Sensor Placement and Informative Path Planning
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..
Sparse spectrum Gaussian process regression
Sparse Gaussian Process Implementation
Generalised Variational Inference (GVI) for Gaussian Processes in JAX
Bayesian inference using sparse gaussian processes from tinygp. Examples include 1D and 2D implementation.
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