Artifacts using Weka Stable (80)

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External libraries and tools integrated within Palladian's API.

BDP4J implements a pipeline framework to allow defining project pipelines from XML. The main goal of the pipelines of this application is to transform input data received from multiple sources into fully qualified datasets to be used with Machine Learning.

Use JMetal algorithms within the MOEA Framework

MEX Vocabulary

The Brown-UMBC Reinforcement Learning and Planning (BURLAP) Java code library is for the use and development of single or multi-agent planning and learning algorithms and domains to accompany them. The library uses a highly flexible state/observation representation where you define states with your own Java classes, enabling support for domains that discrete, continuous, relational, or anything else. Planning and learning algorithms range from classic forward search planning to ...

Your preferred data manipulation and analysis language for CSV.

Classification Bayes

Classification Weka

Toolkit to analyze genomic variation data, built on the GATK with Clojure

gsn-extra