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DavidRodSeg/README.md

😶 Hi!

I’m David, a physics graduate with a master’s degree in AI and data science. On this GitHub, you’ll find research-oriented repositories mainly focused on data science, although I maintain a strong interest in returning to physics research.

Tech stack:

Category Tools
Development Python
Databases SQL
Cloud Azure Ansible Terraform
AI / Data Science PyTorch scikit-learn
Version control Git GitHub

Currently exploring:

  • Quantification learning
  • Docker and GitHub Actions.
  • KQL

Some projects:

  • MRISegmentation
    MRI segmentation using pretrained DeepLabV3 model and AGResUNet arquitecture.
  • ZeroShotQuantification
    Study of the plausibility of combining quantification and zero-shot algorithms.

Popular repositories Loading

  1. structured_beam_nn structured_beam_nn Public archive

    Study of Structural Light and its Diffraction using Machine Learning

    Python 1

  2. FrequentItemsets FrequentItemsets Public archive

    Pure Python frequent, closed, and maximal itemset mining algorithms, including the original FP-Growth, for market basket analysis and data mining.

    Python 1

  3. MRISegmentation MRISegmentation Public archive

    MRI segmentation using pretrained DeepLabV3 model and AGResUNet arquitecture.

    Jupyter Notebook

  4. ZeroShotQuantification ZeroShotQuantification Public

    Study of the plausibility of combining quantification and zero-shot algorithms.

    Python

  5. DavidRodSeg DavidRodSeg Public

    My simple profile README