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MOA is an open-source framework software that allows to build and run experiments of machine learning or data mining on evolving data streams. It includes a set of learners and stream generators that can be used from the graphical user interface (GUI), the command-line, and the Java API.
The first set of Comet implementations dates back to 2000, [16] [unreliable source?] with the Pushlets, Lightstreamer, and KnowNow projects. Pushlets, a framework created by Just van den Broecke, was one of the first [17] open source implementations. Pushlets were based on server-side Java servlets, and a client-side JavaScript library.
MALLET is an integrated collection of Java code useful for statistical natural language processing, document classification, cluster analysis, information extraction, topic modeling and other machine learning applications to text.
Software Creator Initial release Software license [a] Open source Platform Written in Interface OpenMP support OpenCL support CUDA support ROCm support [1] Automatic differentiation [2] Has pretrained models Recurrent nets Convolutional nets RBM/DBNs Parallel execution (multi node) Actively developed BigDL: Jason Dai (Intel) 2016 Apache 2.0 ...
ICEfaces is an open-source Software development kit that extends JavaServer Faces (JSF) by employing Ajax. It is used to construct rich Internet applications (RIA) using the Java programming language. With ICEfaces, the coding for interaction and Ajax on the client side is programmed in Java, rather than in JavaScript, or with plug-ins.
SystemDS: scalable machine learning; Tapestry: component-based Java web framework; Apache Tcl Committee Tcl integration for Apache httpd; Rivet: Server-side Tcl programming system combining ease of use and power; Websh: Websh is a rapid development environment for building powerful, fast, and reliable web applications in Tcl
Apache Mahout is a project of the Apache Software Foundation to produce free implementations of distributed or otherwise scalable machine learning algorithms focused primarily on linear algebra. In the past, many of the implementations use the Apache Hadoop platform, however today it is primarily focused on Apache Spark.
scikit-learn: machine learning library in Python; Weka: A similar project by the University of Waikato, with a focus on classification algorithms; RapidMiner: An application available commercially (a restricted version is available as open source) KNIME: An open source platform which integrates various components for machine learning and data ...