Our goal is to apply PyTorch to improve the speed and reliability of detecting exoplanets in space-based telescopic imaging data. Specifically, we're attempting to
- extend Exonet and Astronet for better precision and recall
- creating dataloaders for various data sources, such as Kepler, TESS, and K2
- exploring model architectures to improve transfer learning between exoplanet monitoring and detection tasks
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