Multi-Modal Machine Learning Feature Fusion Platform

Create a sophisticated feature fusion framework in JavaScript that can combine heterogeneous data sources, perform cross-modal representation learning, and generate unified feature embeddings. Implement advanced representation learning techniques including deep neural networks, contrastive learning, and transfer learning strategies. Design a modular system that supports multiple data types and provides flexible feature transformation pipelines. Include comprehensive evaluation and visualization tools.