Discover enricivi/growing_hierarchical

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Python
License
MIT License
Created over 6 years ago
Updated 5 months ago

enricivi

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Self-Organizing Map [https://en.wikipedia.org/wiki/Self-organizing_map] is a popular method to perform cluster analysis. SOM shows two main limitations: fixed map size constraints how the data is being mapped and hierarchical relationships are not easily recognizable. Thus Growing Hierarchical SOM has been designed to overcome this issues

adversarial_training_methods

Implementation of the methods proposed in **Adversarial Training Methods for Semi-Supervised Text Classification** on IMDB dataset (without pre-training)

Jupyter Notebook

super_resolution

Super-resolution is a technique that constructs an high-resolution image from several observed low-resolution images.

MATLAB

image_viewer

A simple image viewer capable of showing EXIF tags

Python

encephalic_vasculature_mapping

This work aims to explore a new approach to model the encephalic vasculature using the formalism of graphs that naturally fit the structure of blood vessels.

Python