Code for reproducing figures and tables in the NN-GPR paper

Collapsed Variational Bayes

End-to-end machine learning pipeline for the prediction of extreme and dangerous wildfires.

Materials for The Alan Turing Institute's Research Software Engineering course

A Python package for tackling diverse environmental prediction tasks with NPs.

We show that SGD can indeed be used to infer Gaussian processes. This in turn allows GPs to scale far beyond what was thought possible.

K-Means clustering - constrained with minimum and maximum cluster size. Documentation: https://joshlk.github.io/k-means-constrained

Gaussian process modelling in Python

Semi-supervised GAN in "Improved Techniques for Training GANs"

Bypass Paywalls web browser extension for Chrome and Firefox.

Model Ensemble tool for batch workflows on HPCs