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pierclgr/README.md

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Hey there, I'm Pier ๐Ÿ‘‹

  • ๐Ÿ™‹๐Ÿปโ€โ™‚๏ธ My name is Pierpasquale, but everbody calls me Pier *daft punk song starts playing*

  • ๐Ÿ  I'm a 27 yo southern Italian daydreamer ๐Ÿ‡ฎ๐Ÿ‡น

  • ๐Ÿ‘ฃ I lived in Bologna for my MSc and in Stockholm for my Master Thesis Project

  • ๐Ÿ“ I currently live in Milano, Italy

  • ๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป I'm an Artificial Intelligence Engineer at blimp.ai

  • ๐ŸŽ“ I have a Master's Degree in Artificial Intelligence at University of Bologna, Italy

  • ๐ŸŽ“ I have a Bachelor's Degree in Computer Science at University of Bari, Italy

  • ๐Ÿ“š I love Computer Vision and AI, but I also have a thing for design and a passion for front-end development

  • ๐Ÿ“ซ You can reach me on Instagram, LinkedIn or via mail

  • ๐Ÿ’ฌ Ask me about anything, I'm very curious in meeting people and collaborating to projects

  • โœ๏ธ I always find new interesting passions or hobbies, that's why I try to dedicate part of my free time to learning something new unrelated to my professional path

  • โšก Fun facts:

    • ๐Ÿฅ‹ I used to be a karateka during my teenage years
    • ๐Ÿ›ด I own an electric scooter
    • ๐ŸŽ I'm a diehard Formula 1 fan (forza Ferrari)

๐Ÿ“Š GitHub Stats

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๐Ÿ’ฌ Contact Info

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  1. MPRNet-SR MPRNet-SR Public

    A PyTorch implementation of paper "MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolution"

    Python 2 1

  2. Atari-DQN Atari-DQN Public

    A PyTorch implementation of DQN and Double DQN algorithms for Atari games

    Python

  3. Connecting-Rods Connecting-Rods Public

    A computer vision system for visual inspection of connecting rods

    Jupyter Notebook

  4. SQuAD-Question-Answering SQuAD-Question-Answering Public

    A question answering system based on BERT, fine-tuned on SQuAD 1.1 question answering dataset

    Python 1

  5. Face-GAN Face-GAN Public

    A Conditioned Generative Adversarial Network to generate faces from facial attributes

    Jupyter Notebook

  6. CRISPRLearner CRISPRLearner Public

    A deep learning based system to predict CRISPR/Cas9 on target cleavage efficiency

    Python