Machine Learning
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Maja Machine Learning Framework v.1.0
This project provides a framework for testing and comparing different machine learning algorithms (particularly reinforcement learning methods) in different scenarios.
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Machine Learning Tools in Java (MLJ) v.1.0
Java port and extension of MLC++ 2.
Weka v.3.7.9
Weka packahe provides a collection of machine learning algorithms for data mining tasks.
Weka x64 v.3.7.9
Weka packahe provides a collection of machine learning algorithms for data mining tasks.
Simbad v.1.4
Simbad is a Java 3d robot simulator for scientific and educationnal purposes. It is mainly dedicated to researchers/programmers who want a simple basis for studying Situated Artificial Intelligence, Machine Learning, and more generally AI algorithms,
Neural Networks v.4.3.7
Create neural networks fast and easy. Inspired by neurons and their connections in the brain, neural network is a representation used in machine learning. After running the back-propagation learning algorithm on a given set of examples,
Mallet for Mac OS X v.2.0.7
MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.
Mallet for Windows v.2.0.7
MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.
Conrad CRF Engine & Gene Caller v.rc
Conrad is both a high performance Conditional Random Field engine which can be applied to a variety of machine learning problems and a specific set of models for gene prediction using semi-Markov CRFs.
Insilicos Cloud Army v.2.0.0
Platform for parallel computation in the Amazon cloud, including machine learning ensembles written in R for computational biology and other areas of scientific research.
Java Data Mining Package v.0.1.1
The Java Data Mining Package (JDMP) is a library that provides methods for analyzing data with the help of machine learning algorithms (e.