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Apache Mahout
Claimed by Apache Software Foundation Analyzed 1 day 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
Crab - Scikit-Recommender
C
Analyzed about 22 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
MyMediaLite
Analyzed about 18 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...
MLPACK C++ machine learning library
M
Analyzed 4 months ago
MLPACK is a fast C++ machine learning library with an emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum
Licenses:
No declared licenses
oryxproject
Analyzed 1 day ago
Oryx 2 (incubating): Lambda architecture on Spark for real-time large scale machine learning
Licenses:
apache_2