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GDelCorso / ShedLight_UQ

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Detailed implementations, Jupyter tutorials and complete packages to implement and test Probabilistic Bayesian Deep Learning models. The repository contains the software implementations of the techniques discussed in the review paper "Shedding light on uncertainties in machine learning: formal derivation and optimal model selection".

deep-learning-tutorial bayesian-deep-learning probabilistic-deep-learning bayesian-deep-networks tutorial-course
  • Updated Mar 24, 2026
  • Jupyter Notebook

WahabMam / From-Centralized-To-Federated

Star 2

This repository provides a comprehensive solution and codebase for the migration from centralized to federated learning. It demonstrates centralized training, its drawbacks, and how federated learning addresses these issues. It also serves as a tutorial to guide users through the transition process.

machine-learning pytorch tutorial-code tutorial-exercises federated-learning tutorial-demos tutorial-course flower-framework distributed-ai centralized-learning
  • Updated Oct 18, 2024
  • Jupyter Notebook

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