This repository provides an end-to-end pipeline for malware family classification using multimodal data: Static features Dynamic behavior features Visual features from binary-to-image representations The project compares fusion strategies at scale: Early fusion Expert selection Late fusion It includes data preparation, feature extraction, model training, explainability scripts, statistical comparison, and visualization utilities.