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[submitted] astromorph: self-supervised machine learning pipeline for astronomical morphology analysis

astromorph performs an automatic classification of astronomical objects based on their morphology using machine learning in a self-supervised manner. Written in Python, the pipeline is an implementation for astronomical images in FITS-format files of the Boot-strap Your Own Latents (BYOL; Grill et al. 2020) method, which does not require labelling of the training data.

Code site:
https://github.com/onsala-space-observatory/astromorph

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