Pinned Repositories
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
Aligning-Time-Series
epekf
final_year_project
GaussianProcessses
intro and exploration of gaussian processes
gibbs-rtss
Gibbs-Sampling based Rauch-Tung-Striebel Smoother (Code for ACC 2011 paper)
gp-adf
Gaussian Process Assumed Density Filter (Code for ICML 2009 paper)
Graph-Gaussian-Processes
Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
graph-neural-pde
Graph Neural PDEs
pilco-matlab
PILCO policy search framework (Matlab version)
mpd37's Repositories
mpd37/pilco-matlab
PILCO policy search framework (Matlab version)
mpd37/GaussianProcessses
intro and exploration of gaussian processes
mpd37/epekf
mpd37/final_year_project
mpd37/Aligning-Time-Series
mpd37/gibbs-rtss
Gibbs-Sampling based Rauch-Tung-Striebel Smoother (Code for ACC 2011 paper)
mpd37/gp-adf
Gaussian Process Assumed Density Filter (Code for ICML 2009 paper)
mpd37/Graph-Gaussian-Processes
Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
mpd37/graph-neural-pde
Graph Neural PDEs
mpd37/Neural-PDE-Solver
mpd37/neural-tangents
Fast and Easy Infinite Neural Networks in Python
mpd37/PAML
Implementation of paper "Probabilistic Active Meta-Learning" (NeurIPS 2020).
mpd37/Riemannian-Gaussian-Processes
mpd37/climate-workshop23.github.io
mpd37/dalimeeting.github.io
Webpage of the DALI workshop.
mpd37/double-corrected-variance-estimator
mpd37/hyperbolic-rl
mpd37/meta-learning-lstm
This repo contains the source code accompanying a scientific paper with the same name.
mpd37/moap-bml-workshop
Accompanying tutorials for my talk "Kriging in the age of machine learning", presented at the UCL-MOAP workshop on "Bayesian Machine Learning for Weather and Climate".
mpd37/neural-sheaf-diffusion
mpd37/sea-ice-lead-segmentation
mpd37/sml-website
mpd37/tgn
TGN: Temporal Graph Networks