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Apache Mahout
Claimed by Apache Software Foundation Analyzed about 18 hours ago
Apache Mahout's goal is to build scalable machine learning libraries. With scalable we mean:
Scalable to reasonably large data sets. Our core algorithms for clustering, classfication and batch based collaborative filtering are implemented on top of Apache Hadoop using the map/reduce paradigm.
Licenses:
apache_2
Taste
Analyzed about 8 hours ago
Taste is a flexible, fast collaborative filtering engine for Java.
It has been merged into Apache's Mahout machine learning project since 2009. See http://mahout.apache.org
Licenses:
apache_2
Crab - Scikit-Recommender
C
Analyzed about 10 hours ago
Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (NumPy,SciPy, Matplotlib). The engine aims to provide a rich set of components from which you can construct a customized
Licenses:
BSD-3-Clause
LensKit
Analyzed about 12 hours ago
LensKit is an open source toolkit for building, researching, and studying recommender systems, providing an API for common recommender use cases, implementations of widely-used algorithms, and tools for evaluating recommender performance.
MyMediaLite
Analyzed about 6 hours ago
MyMediaLite is a recommender system algorithm library.
It provides methods for two common tasks in recommender systems/collaborative filtering: rating prediction and item prediction from implicit feedback.
MyMediaLite also contains command-line programs that let you use much of the library's functionality without having to program.
Licenses:
gpl3_or_l...
gitrecommender
G
Analyzed about 6 hours ago
Recommends GIT files based on previous commits of the author and other authors in the repo.
Recommender
R
Analyzed about 10 hours ago
Recommender is a C library for product recommendations/suggestions using collaborative filtering (CF)
Apache PredictionIO
No analysis available
Apache PredictionIO is an open source machine learning server. It enables developers and data engineers to build smarter web and mobile applications through a simple set of APIs. Admin UI is provided for developers to select and tune algorithms.
Some benefits of using Apache PredictionIO:
-
Mostly written in language not available
Licenses:
apache_2
Winnow content recommendation engine
W
Analyzed about 5 hours ago
Winnow efficiently trains and operates any number of unique Naive Bayes classifiers on large sets of content. Written in C, runs on any Unix, very high performance, works with very small
training and unbalanced training sets. Winnow powers http://winnowtag.org, an innovative web feed reader that