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luna97/README.md

👋 Hi, I'm Riccardo (Luna for friends)!

Currently studying Atrificial Intelligence Systems at the University of Trento.

LinkedIn GitHub Gmail

Main frameworks and environment used:

Android   Docker   .NET Core   Raspberry Pi   Cake PHP   Git  

Main programming language used during my programming experience:

Python   Java   C++   C#   Kotlin   Swift  

Some of the most used libraries I used:

Pandas   OpenCV   PyTorch   Conda  

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  1. soft-full-hebb soft-full-hebb Public

    A multilayer convolutional network network trained end-to-end with neuron-centric hebbian learning

    Jupyter Notebook 1

  2. clip_captioning_satellitar clip_captioning_satellitar Public

    Image captioning on satellitar data, using CLIP + GPT2

    Jupyter Notebook 5 2

  3. EEGNet-improved. EEGNet-improved. Public

    In this repository we used a variant of the EEGNet in order to classify patients with epilepsia

    Jupyter Notebook 1

  4. ground-vision-CLIP ground-vision-CLIP Public

    In this project an innovative and promising architecture is used to perform a ground vision task on the RefCOCOg dataset, with CLIP as backbone.

    Jupyter Notebook

  5. matrix-adaptation-exploiting-gradient-evolution-strategy matrix-adaptation-exploiting-gradient-evolution-strategy Public

    This repository contains an improvement for any covariance-matix-adaptation-like evolution strategy exploiting gradient or its estimation

    Jupyter Notebook

  6. welcome-bot welcome-bot Public

    This is a security camera / welcome bot that performs face recognition in real time in raspberry

    Jupyter Notebook 1