Recommender Systems

Turi CreateC++

A Python library for building custom machine learning models for tasks like image classification, object detection, and recommendations.

SurprisePython

A Python scikit for building and analyzing recommender systems that handle explicit rating data.

RecBolePython

A unified, comprehensive, and efficient Python/PyTorch library for reproducing and developing recommendation algorithms.

implicitPython

Fast Python library for collaborative filtering recommendation algorithms on implicit feedback datasets.

HorizonPython

An end-to-end platform for applied reinforcement learning and contextual bandits, built with PyTorch for production decision-making systems.

ReAgentPython

An end-to-end platform for applied reinforcement learning and contextual bandits, originally developed at Facebook for production recommendation systems.

TensorFlow RankingPython

A TensorFlow library for Learning-to-Rank (LTR) techniques, providing loss functions, metrics, and models for ranking tasks.

TensorFlow RecommendersPython

A TensorFlow library for building, training, and deploying recommender system models with Keras.