Indexed Artifacts (24.0M)

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Artifacts using weka-dev version 3.9.2

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.
Last Release on Jul 19, 2021
Trainable Segmentation plugin for Fiji.
Last Release on Sep 24, 2021
The MEKA project provides an open source implementation of methods for multi-label classification and evaluation. It is based on the WEKA Machine Learning Toolkit. Several benchmark methods are also included, as well as the pruned sets and classifier chains methods, other methods from the scientific literature, and a wrapper to the MULAN framework.
Last Release on May 28, 2021
Tracking 2D [tr2d]
Last Release on Jul 6, 2019
ImgLib2 Labkit
Last Release on Sep 6, 2021
Segmentation plugin for tr2d allowing to load saved segmentations
Last Release on Jun 28, 2018
service.impl
Last Release on Sep 23, 2021
Trainable segmentation features implemented with imglib2.
Last Release on Sep 6, 2021
Runs tr2d set up to suit Hernan's needs.
Last Release on Jul 6, 2019
The project contains utilities to run validation tasks in Weka library.
Last Release on Mar 11, 2018