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Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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mjcarter95/README.md

Hi there, I'm Matthew 👋

I am a Research Associate in the Signal Processing Group at the University of Liverpool and am completing my PhD in the Distributed Algorithms CDT 🎓

I am enthusiastic about the interface between AI and Parallel/Distributed Computing, and am particularly interested in how these methods can aid the decision making process.

Some more about me...

  • 📚 My research interests are: Bayesian inference, Bayesian decision making, machine learning, artificial intelligence, distributed and high-performance computing, and natural language processing
  • 📷 I like to take photographs in my spare time, you can see them at mjc.dng
  • 📄 Read more about my research on my website mjcarter.co

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  1. UoL-SignalProcessingGroup/SMC-NUTS UoL-SignalProcessingGroup/SMC-NUTS Public

    A python implementation of NUTS working in an SMC sampler using bridge-Stan to define and execute models

    Python 3 1

  2. stan-dev/pystan stan-dev/pystan Public

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

    Python 341 59

  3. stan-dev/httpstan stan-dev/httpstan Public

    HTTP interface to Stan, a package for Bayesian inference.

    Python 40 15

  4. CondorCMF CondorCMF Public

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

    Python

  5. PyMCMC PyMCMC Public

    A collection of MCMC methods in Python using Numpy and Scipy

    Python 1

  6. FilterPy FilterPy Public

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

    Python 1