Open Source recommendation System Collation _ Collaborative filtering

  spent about 1 days sorting out the open source Recommender system in various languages, with a more complete and comprehensive target of red. One, Python library 1, benfred/implicit Fast Python Collaborative filtering for implicit datasets https://github.com/benfred/ Implicit 2, Mendeley/mrec A recommender Systems Development and evaluation package by Mendeley /mrec        3, LYST/LIGHTFM a Python implementation of LIGHTFM, a hybrid recommendation. HTTPS://GITHUB.COM/LYST/LIGHTFM 4, MRCHRISJOHNSON/LOGISTIC-MF logistic Matrix factorization for implicit Feedback Data. HTTPS://GITHUB.COM/MRCHRISJOHNSON/LOGISTIC-MF 5, Nicolashug/surprise A Python scikit for building and analyzing Recommender Systems Https://github.com/NicolasHug/Surprise 6, Ocelma/python-recsys a Python library for implementing a Recommender system Https://github.com/ocelma/python-recsys 7, Muricoca/crab crab is aflexible, fast recommender engine for Python that integrates classic informationfiltering recommendation algorithms into the world of Scientific Python packages ( NumPy, scipy, matplotlib). Https://github.com/muricoca/crab 8, Python-recsys/crab crab is aflexible, fast recommender engine for Python that integrate S classic informationfiltering recommendation algorithms in the world of Scientific python packages (python, NumPy, scipy, Matplotlib) Https://github.com/python-recsys/crab 9, Ibayer/fastfm fastfm:a Library for factorization machines GITHUB.COM/IBAYER/FASTFM 10, jadianes/winerama-recommender-tutorial A wine recommender System tutorial using Python Technologies such as Django, pandas, or Scikit-learn, and others such as Bootstrap. Https://github.com/jadianes/winerama-recommender-tutorial
Second, Java library 1, lenskit/lenskit lenskit recommender toolkit Https://github.com/lenskit/lenskit 2, apache/mahout the Apache Mahout™project ' s goal is to build a environment for quickly creating scalable performant machine The learning. Https://github.com/apache/mahout 3, Myrrix/myrrix-recommender stand-alone recommender system from Myrrix https:// Github.com/myrrix/myrrix-recommender 4, Easyrec ADD recommendations to your website HTTP://EASYREC.ORG/5, seldonio/ Seldon-server Enterprise Machine learning Platform for prediction and recommendation. Https://github.com/SeldonIO/seldon-server 6, RapidMiner RapidMiner makes data science teams more productive through a unif IED Platform for data prep, machine learning, and model deployment. HTTPS://RAPIDMINER.COM/7, duine Framework a Java based recommendation system HTTPS://SOURCEFORGE.NET/PROJECTS/DUINE/8, Guoguibing/librec librec:a leading Java Library for Recommender Systems HTTPS://GITHUB.COM/GUOGUIBING/LIBREC/9, Ranksys /ranksys Java 8 recomMender Systems Framework for novelty, diversity and much more Https://github.com/RankSys/RankSys 10, learning-layers/ Tagrec towards A standardized Tag recommender Benchmarking Framework Https://github.com/learning-layers/TagRec 11, Recommenders/rival Rival Recommender system Evaluation Toolkit HTTPS://GITHUB.COM/RECOMMENDERS/RIVAL/12, oryxproject/ Oryx Oryx 2:LAMBDA Architecture on Apache Spark Apache Kafka for real-time large scale machine learning Om/oryxproject/oryx 13, Waikato/moa Moa is a open source framework for the big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, CONCEP T drift detection and recommender systems) and tools for evaluation. Https://github.com/Waikato/moa
C + + library 1, gnnng/svdfeature A recommend system I used before. The official website is Http://svdfeature.apexlab.org/wiki/Ma https://github.com/Gnnng/SVDFeature 2, CJLIN1/LIBMF LIBMF is a library for large-scale sparse matrix factorization. For the optimization problem it solves HTTPS://GITHUB.COM/CJLIN1/LIBMF 3, SRENDLE/LIBFM Library for factorization machines HTTPS://GITHUB.COM/SRENDLE/LIBFM 4, Mikegashler/waffles A Toolkit of machine learning algorithms. Https://github.com/mikegashler/waffles 5, Yixuan/recosystem recommender System Using Parallel Matrix factorization Https://github.com/yixuan/recosystem
Iv. other 1, Apache/incubator-predictionio Predictionio, a machine learning server for developers and ML engineers. Built on Apache Spark, HBase and Spray. Https://github.com/apache/incubator-predictionio 2, Guymorita/recommendationraccoon A Collaborative filtering based Recommendation engine and NPM module built on the top of Node.js and Redis. The engine uses the Jaccard coefficient to determine the similarity of users and between to create K-nearest-neighbors Endations. This module is useful to anyone with a database of users, a database of products/movies/items and the desire ... https://gi Thub.com/guymorita/recommendationraccoon 3, Datasystemslab/recdb-postgresql recdb is a recommendation engine built Entirely inside PostgreSQL Https://github.com/DataSystemsLab/recdb-postgresql 4, Zenogantner/mymedialite recommender System library for the CLR (. NET) Https://github.com/zenogantner/MyMediaLite 5, Crowdrec/idomaar Idomaar is the Crowdrec re Commendation and Evaluation Reference framework. HttpsGITHUB.COM/CROWDREC/IDOMAAR/6, Grahamjenson/hapiger Hapiger is a http-wrapper around the good enough recommendation en Gine using the Hapi.js framework Https://github.com/grahamjenson/hapiger 7, Ondrafiedler/spark-recommender scalable Recommendation system written in Scala using the Apache Spark framework Https://github.com/OndraFiedler/spark-recommender