Multi-modal AI that generates novel recipes, predicts flavor combinations, and analyzes food chemistry using molecular gastronomy principles.
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Updated
Nov 9, 2025 - Python
Multi-modal AI that generates novel recipes, predicts flavor combinations, and analyzes food chemistry using molecular gastronomy principles.
A comparative analysis of Graph Neural Networks (GCN, GAT, GIN, GraphSAGE, GINE) vs. XGBoost on the QM9 molecular dataset. Features a modular PyTorch pipeline with MLflow experiment tracking
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