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About: Universal Python-written numerical optimization toolbox. Problems: NLP, LP, QP, NSP, MILP, LSP, LLSP, MMP, GLP, SLE, MOP etc; general logical constraints, categorical variables, automatic differentiation, interval analysis, many other goodies Changes:http://openopt.org/Changelog
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About: Armadillo is a template C++ linear algebra library aiming towards a good balance between speed and ease of use. Matrix decompositions are provided through optional integration with LAPACK, or one of its high performance drop-in replacements (eg. Intel MKL, OpenBLAS). Changes:
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About: A Java framework for statistical analysis and classification of biological sequences Changes:New classes:
New features and improvements:
Restructuring:
Several minor new features, bug fixes, and code cleanups
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About: This project is a C++ toolkit containing machine learning algorithms and tools that facilitate creating complex software in C++ to solve real world problems. Changes:This release has primarily focused on improving the flexibility and ease of use of the object detection tools.
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About: Boosting algorithms for classification and regression, with many variations. Features include: * Scalable and robust * Easily customizable loss functions * One-shot training for an entire regularization path * Continuous checkpointing * much more Changes:Initial Announcement on mloss.org.
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About: Robust learning of Bayesian Networks Changes:Initial Announcement on mloss.org.
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About: A broad collection of script-friendly command-line tools for machine learning and data mining tasks. (The command-line tools wrap functionality from a C++ class library.) Changes:See the change log at http://waffles.sourceforge.net/changelog.html
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About: The CTBN-RLE is a C++ package of executables and libraries for inference and learning algorithms for continuous time Bayesian networks (CTBNs). Changes:Markov decision processes added (Kan & Shelton 2008) [ctmdp.h] Mean field inference added (Cohn, El-Hay, Friedman, & Kupferman 2009) [meanfieldinf.h] Factored uniformization for filtering added (Celikkaya & Shelton 2011) [uniformizedfactoredinf.h] Auxilliary Gibbs sampling added (Rao & Teh 2011) [gibbsauxsampler.h] Multi-threading for EM added many speed improvements unit testing improved [tst/] new demo "main" programs added [demo/] file format changed to XML-ish format (with old methods still there for conversion) matrix switched to Eigen package (with option to return to old matrix) glpk now included initial cmake functionality
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About: SVDFeature is a toolkit for developing generic collaborative filtering algorithms by defining features. Changes:JMLR MLOSS version.
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About: A Tool for Embedding Strings in Vector Spaces Changes:Support for positional n-grams with shift (similar to weighted-degree kernel with shift) has been added. Several minor bugs have been fixed.
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About: ReFr is a software architecture for specifying, training and using reranking models. Changes:Initial Announcement on mloss.org.
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About: A Matlab implementation of Uncorrelated Multilinear Discriminant Analysis (UMLDA) for dimensionality reduction of tensor data via tensor-to-vector projection Changes:Initial Announcement on mloss.org.
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About: A Matlab implementation of Uncorrelated Multilinear PCA (UMPCA) for dimensionality reduction of tensor data via tensor-to-vector projection Changes:Initial Announcement on mloss.org.
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About: A Matlab implementation of Multilinear PCA (MPCA) and MPCA+LDA for dimensionality reduction of tensor data Changes:Initial Announcement on mloss.org.
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About: mlpy is a Python module for Machine Learning built on top of NumPy/SciPy and of GSL. Changes:New features:
Fix:
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About: Locally Weighted Projection Regression (LWPR) is a recent algorithm that achieves nonlinear function approximation in high dimensional spaces with redundant and irrelevant input dimensions. At its [...] Changes:Version 1.2.4
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About: Software for graph similarity search for massive graph databases Changes:Initial Announcement on mloss.org.
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About: The library is focused on implementation of propagation based approximate inference methods. Also implemented are a clique tree based exact inference, Gibbs sampling, and the mean field algorithm. Changes:Initial Announcement on mloss.org.
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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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