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time-domain-astronomy

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Engineered an end-to-end TensorFlow/Keras deep learning pipeline to classify rare neutron stars within highly imbalanced radio telescope data. Defeats the 9.9:1 class asymmetry trap using cost-sensitive learning to maximize anomaly detection recall. Optimized for production signal triage and automated data tracking.

  • Updated May 29, 2026
  • Python

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