The goal of this project is to propose and construct a machine learning pipeline to process the data handed by the Central European Institute of Technology at Masaryk University. As the nature of the collected data is functional, this project should employ methods from functional data analysis, deep learning and potetially use either differential geometry or topological data analysis to enrich the research. To find out more, look over at the wiki.
The project is still in early development, mostly focusing on exploratory analysis and experimentation. To join the methodology discussion, look over at this board.
To follow the current state of the project and its different tasks, look over at the projects section.
If you are new to this project, get familiar with the vision, set your own role and responsibilities with the team, and read the data management plan. Make sure your contributions can be understood and reused by other members of the team.
Note: Do not modify folder name unless you are sure of what you are doing. The project makes use of Nix and the Nix package manager for the sake of reproducibility. The default.nix file that is located in 01_project_management can be cloned to build the research environment that is used here.