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SimpleDNN is a machine learning lightweight open-source library written in Kotlin whose purpose is to support the development of feed-forward and recurrent Artificial Neural Networks.
Last Release on Jun 15, 2020
The MEKA project provides an open source implementation of methods for multi-label classification and evaluation. It is based on the WEKA Machine Learning Toolkit. Several benchmark methods are also included, as well as the pruned sets and classifier chains methods, other methods from the scientific literature, and a wrapper to the MULAN framework.
Last Release on Sep 6, 2024
Neo4j Graph Data Science :: Machine Learning Algorithms
Last Release on Nov 3, 2025
Neo4j Graph Data Science :: Machine Learning Core
Last Release on Nov 3, 2025
Scalable machine learning libraries
Last Release on Apr 15, 2017
The OpenIMAJ Machine Learning Library contains implementations of optimised machine learning techniques that can be applied to OpenIMAJ structures and features.
Last Release on Feb 9, 2020
Machine Learning Library
Last Release on Aug 28, 2024
Algorithms and components for machine learning and statistics.
Last Release on Mar 6, 2019
Scalable machine learning libraries
Last Release on Jul 16, 2020
Neo4j Graph Data Science :: Machine Learning Api
Last Release on Nov 3, 2025