1. PolaraRecommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.
2. Recsys19 hybridsvdAccompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
3. TensorGlueTensor-based recommender system that incorporates categorical contextual information into collaborative filtering workflow.