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Achievement: Pull Sharkx3Achievement: YOLOAchievement: QuickdrawAchievement: 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 🎓

I am passionate about decision making under uncertainty using data driven solutions. Specifically, I focus on applying AI and statistical inference methods alongside advanced computing technologies including high performance computing, distributed systems, and FPGAs to build faster and more efficient decision making systems.

Some more about me...

  • 📚 My research interests are: decision making, Bayesian inference, machine learning, artificial intelligence, distributed and high-performance computing, and natural language processing
  • 📷 I like to take photographs and write poetry in my spare time, you can see my work at mjc.dng
  • 📄 You can 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 6 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 357 62

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

    HTTP interface to Stan, a package for Bayesian inference.

    Python 41 16

  4. PyMCMC PyMCMC Public

    A collection of MCMC methods in Python using Numpy and Scipy

    Python 1

  5. FilterPy FilterPy Public

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

    Python 1