A unified, comprehensive and efficient recommendation library
- recommender-systems
- collaborative-filtering
- knowledge-graph
- ctr-prediction
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AudioMuse-AI uses sonic analysis to rediscover forgotten songs, uncover hidden connections in your music library, and generate intelligent playlists for Navidrome, Jellyfin, LMS, Lyrion, Emby and Plex: no metadata or external services required.
Pytorch domain library for recommendation systems
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
- dssm
- youtubednn
- mind
- collaborative-filtering
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
- tensorflow-recommenders
- tensorflow
- recommender
- recommender-system
fastFM: A Library for Factorization Machines
- machine-learning
- recommender-system
- factorization-machines
- matrix-factorization
A C library for product recommendations/suggestions using collaborative filtering (CF)
- collaborative-filtering
- c
- machine-learning
- recommendation-engine