markvdw
Senior Lecturer (Associate Prof) at Imperial College London. Research: Bayesian Deep learning, Gaussian Processes
Imperial College LondonLondon
Pinned Repositories
GPflow
Gaussian processes in TensorFlow
convgp
Convolutional Gaussian processes based on GPflow.
gp_upper
Upper bounds for Gaussian process regression marginal likelihoods.
GParML
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.
GPflow-inter-domain
Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables
gpflow-monitor
Methods to help with logging GPflow optimisation.
inference-plots
mml-autumn-2022
Materials for Autumn 2022 Mathematics for Machine Learning course.
probinf-spring-2023
Probabilistic Inference Course, Department of Computing, Imperial College London, Spring 2023.
RobustGP
Robust initialisation of inducing points in sparse variational GP regression models.
markvdw's Repositories
markvdw/convgp
Convolutional Gaussian processes based on GPflow.
markvdw/GParML
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.
markvdw/mml-autumn-2022
Materials for Autumn 2022 Mathematics for Machine Learning course.
markvdw/RobustGP
Robust initialisation of inducing points in sparse variational GP regression models.
markvdw/probinf-spring-2023
Probabilistic Inference Course, Department of Computing, Imperial College London, Spring 2023.
markvdw/GPflow-inter-domain
Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables
markvdw/gpflow-monitor
Methods to help with logging GPflow optimisation.
markvdw/inference-plots
markvdw/gp_upper
Upper bounds for Gaussian process regression marginal likelihoods.
markvdw/GPflow
Gaussian processes in TensorFlow
markvdw/GPflux
Deep GPs built on top of TensorFlow/Keras and GPflow
markvdw/markvdw.github.io
Public webpage.
markvdw/mltools
A collection of some miscellaneous tools for machine learning projects.
markvdw/opt_tools
Tools for logging an optimisation procedure. Specially designed to work with scipy and GPflow.
markvdw/datasets
A simple repo to organise datasets for machine learning experiments. Datasets are downloaded directly from source, and then processed, so there's never any ambiguity about pre-processing ever again.
markvdw/gp-audio
markvdw/GPLVMTry
Experimental GPLVM models
markvdw/hugo-academic
The website designer for Hugo. Build and deploy a beautiful website in minutes :rocket:
markvdw/observations
Tools for loading standard data sets in machine learning