Synthetic Sargassum energy data for ML training. Includes biological (LSTM) and thermochemical (XGBoost/RF) blocks. Part of BIP Summer Institute 2026, mentored by Dr. Rita Appiah (Purdue University). Reproducible Fortran-based pipeline.
machine-learning deep-learning data-driven sargassum biochemical-modeling hybrid-pipeline thermochemical-modeling
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Updated
Aug 8, 2026 - Fortran