Skip to content
View FrancescoSaverioZuppichini's full-sized avatar
🧸
Focusing
🧸
Focusing
  • roboflow
  • Lugano, Switzerland

Block or report FrancescoSaverioZuppichini

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Hello there

Hello there πŸ‘‹ I'm Francesco

LinkedIn Medium

About me πŸš€

  • πŸŽ“ I am a Deep Learning (mostly Computer Vision) Engineer @PwC V7 hugging face RoboFlow Zurich Insurance
  • ❀️ I am passionate about Software Engineering, Open-Source, Machine Learning/Deep Learning, Computer Vision and Robotics
  • πŸ“œ BSc Informatics and MSc Artificial Intelligence
  • πŸ“« How to reach me: [email protected]
  • 🏠 Zurich(πŸ‡¨πŸ‡­) Lugano(πŸ‡¨πŸ‡­)

Francesco's github stats

visitors

Pinned Loading

  1. mirror mirror Public

    Visualisation tool for CNNs in pytorch

    Jupyter Notebook 254 22

  2. A-journey-into-Convolutional-Neural-Network-visualization- A-journey-into-Convolutional-Neural-Network-visualization- Public

    A journey into Convolutional Neural Network visualization

    Jupyter Notebook 267 48

  3. Pytorch-how-and-when-to-use-Module-Sequential-ModuleList-and-ModuleDict Pytorch-how-and-when-to-use-Module-Sequential-ModuleList-and-ModuleDict Public

    Code for my medium article

    Jupyter Notebook 361 53

  4. PyTorch-Deep-Learning-Template PyTorch-Deep-Learning-Template Public template

    A Pytorch Computer Vision template to quick start your next project! πŸš€πŸš€

    Jupyter Notebook 349 74

  5. glasses glasses Public

    High-quality Neural Networks for Computer Vision 😎

    Jupyter Notebook 439 35

  6. my-spaces my-spaces Public

    Run hugging face spaces locally with one command!

    Python 59 10