Provides implementations of recommendation algorithms including collaborative filtering, content-based filtering, and deep learning models for ranking and rating prediction. Designed for researchers and developers to prototype, experiment with, and deploy recommendation systems to production. Includes Jupyter notebooks demonstrating best practices and evaluation metrics.