Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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Best Practices on Recommendation Systems
A Python scikit for building and analyzing recommender systems
A Python implementation of LightFM, a hybrid recommendation algorithm.
A unified, comprehensive and efficient recommendation library
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Accelerated deep learning R&D
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
fastFM: A Library for Factorization Machines
Exploit black-box recommenders for algorithm selection.