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Achievement: YOLOAchievement: Pull Shark

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vrettasm/README.md

Hi there, I am Michalis 👋 🇬🇷

🚀 About Me

I am an information engineer by training with a PhD in computer science and a diverse computational background, with over ten years of post doctoral scientific research experience in various domains, such as: machine learning, data assimilation, stochastic processes, climate modeling, single molecule microscopy image analysis and computational molecular biology.

  • 🔭 I am currently a scientific researcher at ICAR-CNR, working on artificial intelligence and machine learning problems.
  • 📝 You can find my research articles on my website.
  • 🌟 The PyGeneticAlgorithms code is now available!

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  1. VGPA VGPA Public

    Variational Gaussian Process Approximation. This project contains a python3 implementation of the original VGPA algorithm for approximate inference in SDEs.

    Python 5 1

  2. NapShift NapShift Public

    This repository provides a Python implementation of the NapShift program to predict the backbone atoms' chemical shift values, from NMR protein PBD structures, using artificial neural networks.

    Python 2

  3. MetalHawk MetalHawk Public

    A machine learning-based approach for classifying metal site geometry.

    Python 4 1

  4. HydroModel HydroModel Public

    Hydrological Model (Berkeley). This project implements the underground (stochastic) hydrological model (in Python) that was developed during my postdoctoral tenure at the Dept. of Earth & Planetary…

    Python 4

  5. MeanFieldVarGP MeanFieldVarGP Public

    Mean field variational Gaussian process algorithm. This repository contains a python3 implementation of the variational mean field algorithm as described in the paper: Physical Review E. vol. 91, 2…

    Python 2

  6. PyGeneticAlgorithms PyGeneticAlgorithms Public

    This repository implements a genetic algorithm (GA) in Python3 programming language, using only Numpy and Joblib as additional libraries. It provides a basic StandardGA model as well as a more adva…

    Python