tensorflow/recommenders
A TensorFlow/Keras library for building recommender system models using embeddings and factorization techniques.
Not currently ranked — collecting fresh signals.
star history
TensorFlow Recommenders is a library for building recommender system models using TensorFlow. It provides tools for the full workflow of recommender system development including data preparation, model formulation, training, evaluation, and deployment. Built on Keras, it offers embedding layers and factorization models for predicting user preferences, such as for movie recommendations.
Frequently asked
- What is tensorflow/recommenders?
- A TensorFlow/Keras library for building recommender system models using embeddings and factorization techniques.
- Is recommenders open source?
- Yes — tensorflow/recommenders is open source, released under the Apache-2.0 license.
- What language is recommenders written in?
- tensorflow/recommenders is primarily written in Python.
- How popular is recommenders?
- tensorflow/recommenders has 2k stars on GitHub.
- Where can I find recommenders?
- tensorflow/recommenders is on GitHub at https://github.com/tensorflow/recommenders.