Weka is a collection of machine learning algorithms for data mining tasks, implemented in Java and providing tools for data preprocessing, classification, regression, and visualization.. There are currently 2 open-source alternatives to Weka, with a combined total of 971 GitHub stars. The most common language among these projects is Java.
Showing 2 open-source alternatives
A pure Java machine learning library with no external dependencies, offering a wide collection of algorithms and parallel execution support.
A Clojure library for machine learning and statistical inference designed for production deployment and composable algorithms.
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