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Hi there, I'm Matthew šŸ‘‹

I am a postgraduate researcher at the University of Liverpool šŸŽ“

My research is focused on developing scalable numerical Bayesian inference algorithms that utilise distributed, opportunistic and high-performance compute.

Some more about me..

  • šŸ”­ Iā€™m currently working on scalable Bayesian inference, Natural Language Processing and COVID modelling projects
  • šŸ“š My research interests are: Bayesian inference, machine learning, artificial intelligence, distributed and high performance computing
  • šŸ“· I like to take photographs in my spare time, you can see them at mjc.dng
  • šŸ“„ Read more about my research on my website mjcarter.co

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Matthew Carter's Projects

condorcmf icon condorcmf

A framework for implementing coordinator-follower and coordinator-manager-follower networks on vanilla HTCondor

condortools icon condortools

Condortools is a Python module that interacts with HTCondor.

filterpy icon filterpy

A collection of Bayesian filtering methods in Python using Numpy and Scipy

httpstan icon httpstan

HTTP interface to Stan, a package for Bayesian inference.

msc-university-of-liverpool icon msc-university-of-liverpool

A collection of work completed throughout the MSc Big Data & High-Performance Computing at the University of Liverpool.

pymcmc icon pymcmc

A collection of MCMC methods in Python using Numpy and Scipy

pystan icon pystan

PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io

stan-test-suite icon stan-test-suite

A collection of models written in the Stan probabilistic programming language

uol-htcondor-101 icon uol-htcondor-101

An introduction to running applications on the University of Liverpool's HTCondor pool.

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