Machine Learning

A Machine Learning library for Java.

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

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

A Flexible and Powerful Parameter Server for large-scale 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

With MLSQL,you can unify big data and machine learning,one language, one platform.

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

RDF/OWL Machine Learning Library for Apache Spark

With MLSQL,you can unifies big data and machine learning,one language, one platform.

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

FNLP is developed for Chinese natural language processing (NLP), which also includes some machine learning algorithms and data sets to achieve the NLP tasks. FNLP is distributed under LGPL3.0.

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

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.

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.

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

A collection of multi-instance learning classifiers. Includes the Citation KNN method, several variants of the diverse density method, support vector machines for multi-instance learning, simple wrappers for applying standard propositional learners to multi-instance data, decision tree and rule learners, and some other methods.

Open source platform for the machine learning lifecycle

Open source platform for the machine learning lifecycle

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

GROBID is a machine learning library for extracting, parsing and re-structuring raw documents such as PDF into structured TEI-encoded documents with a particular focus on technical and scientific publications.

ClearTK wrapper for the WEKA machine learning library

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

Feature selection method based on correlation measureand relevance and redundancy analysis. Use in conjunction with an attribute set evaluator (SymmetricalUncertAttributeEval). For more information see: Lei Yu, Huan Liu: Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution. In: Proceedings of the Twentieth International Conference on Machine Learning, 856-863, 2003.

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

A Machine Learning library for Java.

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.

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

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

With MLSQL,you can unifies big data and machine learning,one language, one platform.

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

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.

GROBID is a machine learning library for extracting, parsing and re-structuring raw documents such as PDF into structured TEI-encoded documents with a particular focus on technical and scientific publications.

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

Scalable Machine Learning Library for Apache Hive, Apache Spark, and Apache Pig

DataCleaner is the premier open source data quality solution. Use it to discover, analyze, profile, diagnose and monitor the state of your data. DataCleaner works with almost any kind of data, eg. CSV files, databases, Excel spreadsheets, NoSQL databases and more.

Complete packaged serving layer binary, including project implementations of machine learning algorithms' serving component

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

Main package of JDMP containing machine learning algorithms and functions

MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.

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

Fregata is a light weight, super fast, large scale machine learning library based on Apache Spark .

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