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moa
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.meka
Multi-label classifiers and evaluation procedures using the Weka machine learning framework.wekaDeeplearning4j
Weka package for the Deeplearning4j java libraryweka-3.8
No longer updated mirror of the Weka 3.8 branch.weka-trunk
No longer updated mirror of the Weka trunk branch.weka-wiki
Home of the Weka wiki.weka
Pointer to the official Weka repository.waikato-repositories
Curated list of github repositories that are associated with the Faculty of Computing and Mathematical Sciences of the University of Waikato.MetropolJS
MetropolJS: Visualizing and Debugging Large-Scale JavaScript Program Structure with Treemapstiny-weka
Bare minimum API of Weka 3.9.x, without package manager, PMML, XML or user interface.acceleratedWEKA
Making Weka go fast!moa-flow
Simple workflow API for MOA.automated-reporting
Scripts and tools for automating reporting.moa-multiflow
Documentation for moa-flowconference-proceedings-bash
Bash scripts for managing conference proceedings written in LaTeX.wekaRAPIDS
Weka package for RAPIDS.jclasslocator
Java library for analyzing the classpath of an application, used to determine class hierarchies.ipynb-creator
Java library for generating Jupyter Notebooks.jeneric-cmdline
Java library for adding command-line handling to arbitrary classes, via introspection.fcms-widgets
Small collection of useful Java widgets.Love Open Source and this site? Check out how you can help us