Explore @Waikato Open Source projects

Computing and Mathematical Sciences, University of Waikato (@Waikato)

Waikato

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Location 🇳🇿 New Zealand
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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 library

weka-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No longer updated mirror of the Weka 3.8 branch.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No longer updated mirror of the Weka trunk branch.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.

waikato-repositories

Curated list of github repositories that are associated with the Faculty of Computing and Mathematical Sciences of the University of Waikato.

weka

Pointer to the official Weka repository.

MetropolJS

MetropolJS: Visualizing and Debugging Large-Scale JavaScript Program Structure with Treemaps

tiny-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-flow

kiwiwords

Code for analysing the usage of Maori Loanwords in New Zealand Tweets

fcms-widgets

Small collection of useful Java widgets.

conference-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.