Most of the code I have produced has been incorporated into the machine learning toolboxes of Prof. Neil Lawrence, which are freely available here.

Most of my work so far concerned the following toolboxes:

  • A unified toolbox which can be found here and includes:

    • Bayesian GP-LVM (with M. Titsias, N. Lawrence)

    • Variational Gaussian Process Dynamical Systems (VGPDS) (with M. Titsias) and

    • Manifold Relevance Determination (MRD) (with C. H. Ek)

  • Deep Gaussian processes: code available here.

  • I am also using GPy, a Gaussian Process framework written in Python and developed in our group.

Check the "Research" tab for an overview and more details.