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  • National & Kapodistrian University of Athens
  • Brussels, Belgium

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mdarm/README.md

Hello!

I am Michael Darmanis, formally trained mechanical engineer who since 2022 has experience in working with machine learning problems and formulation thereof.

My interests are:

  • Training neural networks.
  • Time series analysis and forecasting.
  • Uncertainty analysis.
  • Physics-informed machine learning.
  • Vim/Neovim/Lua.
  • TeX/LaTeX.
  • Arch Linux.

Pinned

  1. map-reduce-project map-reduce-project Public

    Project on MapReduce for the Μ111 - Big Data Management course, NKUA, Spring 2023.

    TeX

  2. pneumonia-detection pneumonia-detection Public

    Project on detecting Pneumonia for the M115 - Image Processing and Analysis course, NKUA, Spring 2023

    Jupyter Notebook

  3. dean-dalianis/climate-diary dean-dalianis/climate-diary Public

    Climate Diary is an open-source project focused on aggregating, simplifying, and dynamically visualizing global climate data, with plans for future expansion and technical enhancements.

    JavaScript

  4. aspect-based-sentiment-analysis aspect-based-sentiment-analysis Public

    Project on detecting Review-sentiment for the M906 - Programming course, NKUA, Spring 2023

    Python 2 2

  5. hyperspectral-image-clustering hyperspectral-image-clustering Public

    Project on hyperspectral-image clustering for the Μ402 - Clustering Algorithms course, NKUA, Fall 2022.

    MATLAB 4

  6. forex-forecasting forex-forecasting Public

    Project on Foreign Exchange Forecasting, for the Μ401 - Deep Neural Networks course, NKUA, Fall 2022.

    Jupyter Notebook 1