Supervised & unsupervised machine-learning techniques are applied to the database of weighted P4s which admit Calabi-Yau hypersurfaces.

Related tags

Deep Learningmachine-learningalgebraic-geometrystring-theorycalabi-yau-manifolds
Overview

Weighted Projective Spaces ML

Description:
The database of 5-vectors describing 4d weighted projective spaces which admit Calabi-Yau hypersurfaces are examined with supervised and unsupervised ML techniques.

How to run:
~ Datasets available in the folder 'Data', including the h11 clustering results.
~ Scripts related to investigations are labelled accordingly. They are run cell-by-cell sequentially with commented points to change parameters for analysis. ML is run with the use of sci-kit learn.

Owner
Ed Hirst
PhD Student at City, University of London
Ed Hirst
GitHub Repository
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