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[ascl:2205.020] ASTROMER: Building light curves embeddings using transfomers

ASTROMER is a Transformer-based model trained on millions of stars for the representation of light curves. Pretrained models can be directly used or finetuned on specific datasets. ASTROMER is useful in downstream tasks in which data are limited to train deep learning models.

Code site:
https://github.com/astromer-science/main-code
Described in:
https://ui.adsabs.harvard.edu/abs/2022arXiv220501677D
Bibcode:
2022ascl.soft05020D

Views: 465

ascl:2205.020
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