Welcome to the data repository for Tuscano Alessio's Master Thesis course LACP-B. This repository hosts all the data used and generated during the course.
The course focuses on using and experimenting on common and emergent tools for data analysis for scientific purposes, such as classification, clustering, and regression of physical datasets.
The repository is organized as follows:
- [exercises]: exercise folder
- [SBI_model1]: folder Simulation Based Inference project for 'quartic potential' model
- [SBI_model2]: folder Simulation Based Inference project for 'red blood cell' model
All the jupyter notebooks are written in python.
If you use any data from this repository in your own research or projects, please cite this repository.
This repository is licensed under the GNU GPLv3 license.
If you have any questions, feedback, or issues regarding the data in this repository, please feel free to contact:
- Alessio Tuscano: [email protected]
All the exercises are group projects with the contribution of @chiatrama, @bevittoria, @belfagor123