This repository contains Jupyter notebook examples.
CERN users can run the notebooks using SWAN,
the CERN service for interactive data analysis in the cloud.
See SWAN Gallery for more information.
Contact: Luca.Canali@cern.ch
- AI Tools
- Examples notebooks illustrating of some popular frameworks and libraries for "AI applications", including: semantic search, vector databases, large language models, image classification.
- DeepLearning Examples
- Examples of popular Deep Learning tools and frameworks, running on GPU, including TensorFlow, Pytorch, Lightning, Transformers.
- Data tools
- Example notebooks of general-purpose data analysis tools, including Pandas, Numpy, and databases (Oracle and PostgreSQL).