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About: Orange is a component-based machine learning and data mining software. It includes a friendly yet powerful and flexible graphical user interface for visual programming. For more advanced use(r)s, [...] Changes:Update for v2.0
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About: Machine Learning PYthon (mlpy) is a high-performance Python package for predictive modeling. Changes:New features:
Several bugs fixed
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About: Automatic Analysis of Malware Behavior using Machine Learning Changes:Several minor fixes.
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About: The Weka workbench contains a collection of visualization tools and algorithms for data analysis and predictive modelling, together with graphical user interfaces for easy access to this [...] Changes:Initial Announcement on mloss.org.
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About: A C++ toolkit containing machine learning algorithms and tools that facilitate creating complex software in C++ to solve real world problems. Changes:Minor bug fixes
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About: FABIA is a biclustering algorithm that clusters rows and columns of a matrix simultaneously. Consequently, members of a row cluster are similar to each other on a subset of columns and, analogously, members of a column cluster are similar to each other on a subset of rows. A bicluster in a transcriptomic data set is a pair of a gene set and a sample set for which the genes are similar to each other on the samples and vice versa. If multiple pathways are active in a sample, it belongs to different biclusters. If a gene participates in different pathways for different conditions, it belongs to different biclusters, too. Thus, biclusters can overlap. In drug design, for example, researchers want to reveal how compounds affect gene expression; the effects of compounds, however, may be similar only on a subgroup of genes. Changes:Initial Announcement on mloss.org.
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About: The apcluster package implements Frey's and Dueck's Affinity Propagation clustering in R. The algorithms are analogous to the Matlab code published by Frey and Dueck. Changes:Initial Announcement on mloss.org.
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About: A C++ library of machine learning algorithms and tools. Several demos are included that show how to use the library. Also, there is a script-friendly command-line interface that makes the algorithms [...] Changes:See the change log at http://waffles.sourceforge.net/changelog.html
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About: C++ software for statistical classification, probability estimation and interpolation/non-linear regression using variable bandwidth kernel estimation. Changes:Initial Announcement on mloss.org.
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About: Apache Mahout is an Apache Software Foundation project with the goal of creating both a community of users and a scalable, Java-based framework consisting of many machine learning algorithm [...] Changes:Added distributed (Map/Reduce) Singular Value Decomposition and Map/Reduce collocations. New high performance collections and matrix/vector libraries (based on Colt with many enhancements). Many new utilities for converting content to Mahout format. See http://lucene.apache.org/mahout/#17+March+2010+-+Apache+Mahout+0.3+released for more details.
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About: The K-tree is a scalable approach to clustering inspired by the B+-tree and k-means algorithms. Changes:Initial Announcement on mloss.org.
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About: The JINSECT toolkit is a Java-based toolkit and library that supports and demonstrates the use of n-gram graphs within Natural Language Processing applications, ranging from summarization and summary evaluation to text classi?cation and indexing. Changes:
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About: A MATLAB spectral clustering package to deal with large data sets. Our tool can handle large data sets (200,000 RCV1 data) on a 4GB memory general machine. Spectral clustering algorithm has been [...] Changes:
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About: A Java library to create, process and manage mixtures of exponential families. Changes:Initial Announcement on mloss.org.
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About: MLPACK is the first comprehensive scalable machine learning library. Changes:Initial Announcement on mloss.org.
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About: SHARK is a modular C++ library for the design and optimization of adaptive systems. It provides various machine learning and computational intelligence techniques. Changes:
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About: MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to [...] Changes:MALLET 2.0 RC4 Release Notes July 16, 2009 Major updates: An implementation of generalized expectation criteria training of MaxEnt classifiers and methods for obtaining constraints (c.f. Gregory Druck, Gideon Mann, Andrew McCallum "Learning from Labeled Features using Generalized Expectation Criteria.") PagedInstanceList has been substantially rewritten by Mike Bond. Bug fixes to topic model hyperparameter optimization and topic inference.
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About: A generalized version of spectral clustering using the graph p-Laplacian. Changes:Initial Announcement on mloss.org.
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About: FLANN is a library for performing fast approximate nearest neighbor searches in high dimensional spaces. It contains a collection of algorithms we found to work best for nearest neighbor search. Changes:See project page for changes.
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About: KeplerWeka represents the integration of all the functionality of the WEKA Machine Learning Workbench [1] into the open-source scientific workflow Kepler [2]. Among them are classification, [...] Changes:
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