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Data Completion and Reconstruction using Deep Learning

Using Deep Learning methods based on CNNs and GANs for data completion and reconstruction. This repository contains code used for MS Thesis named "Data Completion and Reconstruction Using Deep Learning"

  • Dataset used for the Master Thesis: Download

This work has been done as a part of my MS Thesis while I was a student intern at Environmental Data Analysis Laboratory under supervision of Prof. Kalinić. Software Sensor Augmentation at Environmental Data Analysis Laboratory (SSA@EDAL) is an installation research project by Croatian Science Foundation (HRZZ) funded under grant no. UIP-2019-04-1737. Project website: https://projects.pmfst.unist.hr/ssaedal

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Using Deep Learning methods based on CNNs and GANs for data completion and reconstruction.

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