Mark van der Wilk (@markvdw)
github

markvdw

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Top repositories

1

convgp

Convolutional Gaussian processes based on GPflow.
Jupyter Notebook
95
star
2

GParML

Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.
Python
43
star
3

mml-autumn-2022

Materials for Autumn 2022 Mathematics for Machine Learning course.
HTML
31
star
4

RobustGP

Robust initialisation of inducing points in sparse variational GP regression models.
Python
29
star
5

probinf-spring-2023

Probabilistic Inference Course, Department of Computing, Imperial College London, Spring 2023.
HTML
14
star
6

GPflow-inter-domain

Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables
Python
13
star
7

gpflow-monitor

Methods to help with logging GPflow optimisation.
Python
11
star
8

inference-plots

Jupyter Notebook
5
star
9

gp_upper

Upper bounds for Gaussian process regression marginal likelihoods.
Jupyter Notebook
2
star
10

mltools

A collection of some miscellaneous tools for machine learning projects.
Python
1
star
11

markvdw.github.io

Public webpage.
HTML
1
star
12

opt_tools

Tools for logging an optimisation procedure. Specially designed to work with scipy and GPflow.
Python
1
star