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Hi there 👋, my name is Attila and ✨ welcome ✨ !

  • 🔭 Work: ITware, Hungary
  • 🔭 Study: PhD candidate in ComputerScience at UMFST (Romania), in Health Sciences at UMA (Spain).
  • 🔭 Research(er): at UK Biobank (UK), Grupo de Investigation Clinimetria (Spain).
  • 📫 You can reach me on Linkedin.
  • ⚡ Fun fact: I like Electric Unicycling (EUC), cycling, ice skating and travelling.

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Attila Biro's Projects

awesome-cv icon awesome-cv

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

copilotkit icon copilotkit

Build in-app AI chatbots 🤖, and AI-powered Textareas ✨, into react web apps.

covid_cough icon covid_cough

COVID-19 is a virus which has impacted the life of everyone on this planet. Modern techniques to identify positive patients have been made. In this repository you will find the use of an ANN and CNN in order to diagnose whether an individual has COVID-19. Using audio files (.wav) from open-source datasets, I extract audio features as well as generate a spectrogram. Run them through the models and evaluate said models.

energyexpenditure icon energyexpenditure

Code for the "Sensing leg movement enhances wearable monitoring of energy expenditure" paper.

energyexpenditureestimation icon energyexpenditureestimation

This repository contains the biomechanics datasets, code to train learning models, and final model parameters for our work in rapid energy expenditure estimation for assisted and inclined loaded walking.

face-detection-using-detr-end-to-end-object-detection-with-transformers icon face-detection-using-detr-end-to-end-object-detection-with-transformers

Unlike traditional computer vision techniques, DETR approaches object detection as a direct set prediction problem. It consists of a set-based global loss, which forces unique predictions via bipartite matching, and a Transformer encoder-decoder architecture. Given a fixed small set of learned object queries, DETR reasons about the relations of the objects and the global image context to directly output the final set of predictions in parallel. Due to this parallel nature, DETR is very fast and efficient.

geopy icon geopy

Geocoding library for Python.

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