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Achievements

Achievement: Pair ExtraordinaireAchievement: Pull SharkAchievement: YOLO

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull SharkAchievement: YOLO

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federicobrancasi/README.md

👋 Hey, I'm Federico - Let's Code the Future Together!

Greetings from my coding corner! I'm Federico, an enthusiastic explorer in the expansive realm of computer science. Currently, I'm immersed in the captivating journey of pursuing a Double M.S. in Computer Science at the University of Trento and Eötvös Loránd University in Budapest, infusing a fintech flavor into my studies. I'm on the lookout for like-minded visionaries eager to shape the future alongside me.

🌐 Let's Connect and Collaborate

🛠️ Peek into My Coding World

Here are some carefully selected projects I have on GitHub:

  1. Enhanced File Explorer for Chrome

    • Quick Take: Improves Chrome's file explorer when browsing local files, compatible with all the Chromium-based browsers.
    • Key Features:
      • Enhanced browsing experience for local files
      • Over 600 daily users and 3000+ installations
    • Tech Stack: JavaScript, Chrome Extension API
    • GitHub: Explore Project

  2. Test-Time Adaptation for Image Classification

    • Quick Take: Explores innovative approaches to enhance the robustness of pre-trained neural networks for image classification when faced with out-of-distribution test data.
    • Key Features: Implements Test-Time Adaptation techniques, leverages Vision-Language Models, and explores prompt engineering and learning.
    • Tech Stack: Python, PyTorch, AWS
    • GitHub: Explore Project

  3. Mathematics for Machine Learning

    • Snapshot: Detailed notes and exercises for the "Mathematics for Machine Learning" specialization at Imperial College London
    • Key Contents:
      • Cheatsheets on Linear Algebra, Multivariate Calculus, and Principal Component Analysis
      • Python labs including projects like PageRank algorithm implementation and Neural Network training
    • Tech Stack: Python, Jupyter Notebooks
    • GitHub: Explore Project

  4. Deep Learning Course Book

    • Snapshot: A comprehensive LaTeX-based book for the Deep Learning course at the University of Trento, designed to assist future students.
    • Highlights: Custom illustrations created using the TikZ library, covering key concepts and techniques in deep learning.
    • Tech Stack: LaTeX, TikZ
    • GitHub: Explore Project

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  1. Enhanced-File-Explorer-for-Chrome Enhanced-File-Explorer-for-Chrome Public

    Improves chrome's file explorer when browsing local files.

    CSS 1

  2. Test-Time-Adaptation-for-Image-Classification Test-Time-Adaptation-for-Image-Classification Public

    Enhances neural network robustness for image classification

    Jupyter Notebook 1 1

  3. Mathematics Mathematics Public

    Detailed notes and exercises for the "Mathematics for Machine Learning" specialization of Imperial College London.

    Jupyter Notebook

  4. Deep-Learning Deep-Learning Public

    Comprehensive LaTeX-based deep learning guide with custom TikZ illustrations

    TeX