https://github.com/axelsgit/fashion-recommender

This project builds a hybrid and visual recommender system for (luxury) fashion products, simulating a real-world e-commerce scenario (e.g., Zalando, Farfetch, Fashion Nova). It integrates visual filtering, collaborative filtering, content-based filtering, and hybrid models, enriched with user metadata and interaction recency.

deepfashion fashion fastapi numpy pandas python resnet-50 sklearn streamlit tensorflow ui-design

Last synced: 07 Apr 2026