Machine Learning

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.

A Machine Learning library for Java.

AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning

An open-source, end-to-end and distributed machine learning and data mining framework built on top of Hadoop.

Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems. This artifact enables you to use MOA from within WEKA.

Scalable Machine Learning Library for Apache Hive

Boost machine learning and data analytics performance with this easy-to-use library

Boost machine learning and data analytics performance with this easy-to-use library

DAG-oriented machine learning framework for bug-resistant, readable, efficient, maintainable and trivially deployable models in Java and other JVM languages

DAG-oriented machine learning framework for bug-resistant, readable, efficient, maintainable and trivially deployable models in Java and other JVM languages

DAG-oriented machine learning framework for bug-resistant, readable, efficient, maintainable and trivially deployable models in Java and other JVM languages

DAG-oriented machine learning framework for bug-resistant, readable, efficient, maintainable and trivially deployable models in Java and other JVM languages

DAG-oriented machine learning framework for bug-resistant, readable, efficient, maintainable and trivially deployable models in Java and other JVM languages

DAG-oriented machine learning framework for bug-resistant, readable, efficient, maintainable and trivially deployable models in Java and other JVM languages

DAG-oriented machine learning framework for bug-resistant, readable, efficient, maintainable and trivially deployable models in Java and other JVM languages

Datumbox is an open-source Machine Learning Framework written in Java which allows the rapid development of Machine Learning and Statistical applications.

A Flexible and Powerful Parameter Server for large-scale machine learning

Neo4j Graph Data Science :: Procedures :: Machine Learning

AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning

AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning

RDF/OWL Machine Learning Library for Apache Spark

DKPro TC is a UIMA-based text classification framework built on top of DKPro Core and DKPro Lab. It is intended to alleviate supervised machine learning experiments with any kind of textual data.

Service integration of machine learning functionality on SAP Cloud Platform (Beta release, still subject to change - up to discontinuation of module).

RDF/OWL Machine Learning Library for Apache Flink

An API for data management, analytics, and machine learning on parallel computing clusters.

An API for data management, analytics, and machine learning on parallel computing clusters.

An API for data management, analytics, and machine learning on parallel computing clusters.

An API for data management, analytics, and machine learning on parallel computing clusters.

An API for data management, analytics, and machine learning on parallel computing clusters.

Liferay Commerce Machine Learning Implementation

Liferay Commerce Machine Learning Forecast Alert API

Liferay Headless Commerce Machine Learning Client

Liferay Headless Commerce Machine Learning API

Liferay Commerce Machine Learning Forecast Alert Service

Liferay Commerce Machine Learning Forecast Alert Lang

Liferay Commerce Machine Learning Forecast Alert Web

Liferay Commerce Machine Learning API

A library to integrate TFLite models on-device for popular Text Tasks related machine learning use cases

DKPro TC is a UIMA-based text classification framework built on top of DKPro Core and DKPro Lab. It is intended to alleviate supervised machine learning experiments with any kind of textual data.

Boost machine learning and data analytics performance with this easy-to-use library

This project provides utils to deal with machine learning tasks. Especially it gives support to work with standard ML libraries in Java.

Enterprise runtime for machine learning models

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.