GPflow
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Intro:
Introduction
GPflow manual
GPflow with TensorFlow 2
GPflow 2 Upgrade Guide
Examples:
Notebooks
Basic
Advanced
Tailor
Custom mean functions: metalearning with GPs
Mixing TensorFlow models with GPflow
Kernel Design
Likelihood Design
Mixture Density Networks in GPflow
Models with observed and latent variables
Updating model with new data
Theory
Understanding
Derivations
API:
gpflow
GPflow
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Updating model with new data
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