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60 followers · 105 following

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Achievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

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Achievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

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Wadaboa/README.md

Hi there

Visitor Badge Open Source Love Linkedin: alessio-falai

👨 About me

#!/usr/bin/python
# -*- coding: utf-8 -*-


class MySelf:

    def __init__(self):
        self.name = "👀 Alessio Falai"
        self.languages = ["🇮🇹 it_IT", "🇬🇧 en_GB"]
        self.education = {
            "BSc": {
                "Degree": "🖥️ Computer Science",
                "University": "🟦 Florence"
            },
            "MSc": {
                "Degree": "🤖 Artificial Intelligence",
                "University": "🟥 Bologna"
            }
        ]
        self.roles = ["👨‍🔬 Applied/Data Scientist", "🧑‍💻 Software Engineer"]
        self.hobbies = ["⌨️ Mechanical keyboards", "📸 Photography", "🌍 Travelling", "🎒 Backpacks"]
        self.interests = ["💬 TTS", "🌳 GNNs"]
        self.website = ["🌐 https://alessiofalai.it"]

    def hello(self):
        print("Thanks for dropping by, hope you find some of my work interesting.")


me = MySelf()
me.hello()

📊 Some statistics

Wadaboa's github stats

📕 Latest blog posts

⚡ Recent GitHub activity

  1. ❗️ Closed issue #2 in Wadaboa/titanet

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  1. 3d-bpp 3d-bpp Public

    3D bin packing solutions with layers and superitems, for Artificial Intelligence in Industry class at UNIBO

    Jupyter Notebook 115 25

  2. titanet titanet Public

    Speaker identification/verification models for Machine Learning for Computer Vision class at UNIBO

    Jupyter Notebook 58 14

  3. flatland-challenge flatland-challenge Public

    Multi-agent reinforcement learning on trains, for Deep Learning class at UNIBO

    TeX 20 4

  4. squad-question-answering squad-question-answering Public

    Question answering on the SQuAD dataset, for NLP class at UNIBO

    Jupyter Notebook 3

  5. ner-annotator ner-annotator Public

    GUI useful to manually annotate text for Named Entity Recognition purposes

    Python 15 9

  6. productive-box productive-box
    1 
    🌞 Morning   170 commits  █████▍░░░░░░░░░░░░░░░  26.1%
    2 
    🌆 Daytime   288 commits  █████████▎░░░░░░░░░░░  44.2%
    3 
    🌃 Evening   187 commits  ██████░░░░░░░░░░░░░░░  28.7%
    4 
    🌙 Night       6 commits  ▏░░░░░░░░░░░░░░░░░░░░   0.9%