Sea Meets the Stars

Sea-Meets-the-Stars is a GitHub organization “devoted to the machine learning and Bayesian analysis of large datasets of oceanographic data” — bringing techniques developed for astronomical surveys to sea-surface temperature, remote sensing, and in-situ profile data. Representative repositories:

• ulmo — out-of-distribution detection on sea-surface-temperature data
• fronts — ocean front detection and analysis
• nenya — self-supervised representation learning for SST fields
• ihop — mapping measured intensities to Hydrolight optical properties
• cugn — analysis of the California Underwater Glider Network

• wrangler / remote_sensing — tooling to wrangle remote-sensing datasets

• Org: github.com/Sea-Meets-the-Stars

I founded the Sea-Meets-the-Stars organization.