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Flurs🌊 FluRS: A Python library for streaming recommendation algorithms
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Fastfm fastFM: A Library for Factorization Machines
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CofactorCoFactor: Regularizing Matrix Factorization with Item Co-occurrence
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SpotlightDeep recommender models using PyTorch.
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Recdb PostgresqlRecDB is a recommendation engine built entirely inside PostgreSQL
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ElliotComprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
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Tf-RecTf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.
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Seldon ServerMachine Learning Platform and Recommendation Engine built on Kubernetes
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RsparseFast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
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BuffaloTOROS Buffalo: A fast and scalable production-ready open source project for recommender systems
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Recsys2019 deeplearning evaluationThis is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
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ConsimiloA Clojure library for querying large data-sets on similarity
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RankfmFactorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
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Parse Comments Parse JavaScript code comments. Works with block and line comments, and should work with CSS, LESS, SASS, or any language with the same comment formats.
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EhcfThis is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)
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TadwAn implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
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TeneA sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
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FilterConTeXt module to process contents of a start-stop environment through an external program
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GorseAn open source recommender system service written in Go
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Drl RecDeep reinforcement learning for recommendation system
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TensorrecA TensorFlow recommendation algorithm and framework in Python.
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