A sparse implementation of a heirarchical Gaussian processes in gpflow. On the jax branch we are planning to produce a jax implementation.
Please note that there is an active issue where the compilation of models with a large number of time series (realisations) create memory problems. We're working on this
Create conda environment
conda env create -f environment.yml
conda activate shgp-env
Install package:
python setup.py install .