Description
JSAT is a library for quickly getting started with Machine Learning problems. It is developed in my free time, and made available for use under the GPL 3. Part of the library is for self education, as such - all code is self contained. JSAT has no external dependencies, and is pure Java. I also aim to make the library suitably fast for small to medium size problems. As such, much of the code supports parallel execution.
JSAT alternatives and related libraries
Based on the "Machine Learning" category
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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. -
Oryx 2
A framework for building real-time large scale machine learning applications, which also includes end-to-end applications for collaborative filtering, classification, regression, and clustering.
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