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convgp
Convolutional Gaussian processes based on GPflow.GParML
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.mml-autumn-2022
Materials for Autumn 2022 Mathematics for Machine Learning course.RobustGP
Robust initialisation of inducing points in sparse variational GP regression models.probinf-spring-2023
Probabilistic Inference Course, Department of Computing, Imperial College London, Spring 2023.GPflow-inter-domain
Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variablesgpflow-monitor
Methods to help with logging GPflow optimisation.inference-plots
gp_upper
Upper bounds for Gaussian process regression marginal likelihoods.mltools
A collection of some miscellaneous tools for machine learning projects.opt_tools
Tools for logging an optimisation procedure. Specially designed to work with scipy and GPflow.Love Open Source and this site? Check out how you can help us