AI-INFN, as evolution of the ML-INFN initiative, collects and coordinate the efforts on the development and deployment of Artificial Intelligence technologies relevant to INFN research. As part of our programme, we organize training events to discuss base and advanced Machine Learning topics with time to go through the code. We call them hackathons.
The first, second, and fourth ML-INFN hackathons were targeting Machine Learning beginners. The material used for those events is available in another GitHub repository.
The third and fifth ML-INFN hackathons were targeting advanced users, as well as this first
AI-INFN hackathon and the related materials are collected in this repository. The first hackathon was held in Padua in 2024, while the second, is hosted in Pavia in 2025.
Contents is organized per topic in different folders. When documentation beyond the Jupyter notebook is needed, a README.md file is included in the sub-directory.
ex: material for the hackathon exercisestest: automated testing infrastructure
Tests on the notebooks are run frequently on the different setups being prepared for the hackathon event.
Run all tests with:
python3 -m pytest tests/test_notebooks.py -v --durations=0Code is released under OSI-approved MIT license.
The documentation provided in the form of Jupyter notebooks is released under CC-BY-NC-SA license.