Description
Oryx 2 is a realization of the lambda architecture built on Apache Spark
and Apache Kafka, but with specialization for real-time large scale machine
learning. It is a framework for building applications, but also includes packaged, end-to-end
applications for collaborative filtering, classification, regression and clustering.
Proceed to the Oryx 2 site for full documentation.
Just looking to deploy a ready-made, end-to-end application for collaborative filtering, clustering or classification? Easy.
Proceed directly to:
Oryx 2 alternatives and related libraries
Based on the "Machine Learning" category
-
Smile
The Statistical Machine Intelligence and Learning Engine provides a set of machine learning algorithms and a visualization library. -
Apache Mahout
Scalable algorithms focused on collaborative filtering, clustering and classification. -
DeepDive
Creates structured information from unstructured data and integrates it into an existing database. -
JSAT
Algorithms for pre-processing, classification, regression, and clustering with support for multi-threaded execution.
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest. Visit our partner's website for more details.
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