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Hi There👋

I'm Chihab Amghane

A recent AI graduate with a passion for Computer Vision and AI.
I'm currently looking for an interesting and challenging job in the field of computer vision and extended reality/immersive content streaming.


  • 🔭 I’m currently working on Light Field Networks
  • 🌱 I’m currently learning Implicit Neural Representations
  • 📄 Read more about my projects on https://avuerro.github.io
  • 📫 How to reach me: chihabamghane AT gmail DOT com

Connect with me:

chihab-amghane

Languages and Tools:

firebase javascript nodejs opencv pandas postman python pytorch react reactnative tensorflow typescript

avuerro's Projects

bayesiannetworks_assignment2 icon bayesiannetworks_assignment2

This repo contains the code developed for the second assignment of the Bayesian Networks & Causal Inference course at the Radboud University (NWI-IMC012).

light-field-networks icon light-field-networks

A subset of the code used for generating novel views from 2D images with the Light Field Network model introduced by Sitzmann et al.

magento2 icon magento2

All Submissions you make to Magento Inc. ("Magento") through GitHub are subject to the following terms and conditions: (1) You grant Magento a perpetual, worldwide, non-exclusive, no charge, royalty free, irrevocable license under your applicable copyrights and patents to reproduce, prepare derivative works of, display, publically perform, sublicense and distribute any feedback, ideas, code, or other information (“Submission") you submit through GitHub. (2) Your Submission is an original work of authorship and you are the owner or are legally entitled to grant the license stated above. (3) You agree to the Contributor License Agreement found here: https://github.com/magento/magento2/blob/master/CONTRIBUTOR_LICENSE_AGREEMENT.html

naturalcomputing icon naturalcomputing

This repository contains the code for the assignments for the Natural Computing course

numberofspeakerestimation icon numberofspeakerestimation

Repository dedicated to the project for the course Automatic Speaker Recognition at Radboud University. The goal of the project was to estimate the number of speakers in audio samples.

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