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keras-aquariuma small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.
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recometrics(Python, R, C++) Library-agnostic evaluation framework for implicit-feedback recommender systems
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matrix-completionLightweight Python library for in-memory matrix completion.
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SpotlightDeep recommender models using PyTorch.
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GemsecThe TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
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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.
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ImplicitFast Python Collaborative Filtering for Implicit Feedback Datasets
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CofactorCoFactor: Regularizing Matrix Factorization with Item Co-occurrence
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