Tag Archives: Algebra

Machine Learning Open Source software list-1

Original: http://mloss.org/software/

Showing Items 1-10 of 278 on page 1 of 28: 1 2 3 4 5 6 Next Last

Logo CARP 3.0

by volmeln – November 8, 2010, 06:41:09 CET [ Project Homepage BibTeX Download ] 1165 views, 365 downloads, 1 subscription

About: CARP: The Clustering Algorithms’ Referee Package

Changes:Command-line interface, improved reliability, detailed manual.

Logo MLDemos

by basilio – November 7, 2010, 16:16:18 CET [ Project Homepage BibTeX Download ] 860 views, 174 downloads, 1 subscription

About: MLDemos is a user-friendly visualization interface for various machine learning algorithms for classification, clustering and regression.

Changes:Fixed a bug with display of ROC curves, going infinite recursive on some machines.

Logo mldata-utils 0.4.0

by sonne – November 7, 2010, 14:39:56 CET [ Project Homepage BibTeX Download ] 1717 views, 355 downloads, 1 subscription

About: Tools to convert datasets from various formats to various formats, performance measures and API functions to communicate with mldata.org


  • Finally reliably convert sparse, dense matrices of floating point or integer types and string lists from/to .hdf5, octave, matlab, csv, arff.
  • Added examples and a small test-suite.

Logo Waffles 2010-11-05

by mgashler – November 5, 2010, 16:31:01 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5147 views, 1581 downloads, 1 subscription

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

Logo Milk 0.3.5

by luispedro – November 4, 2010, 05:25:35 CET [ Project Homepage BibTeX Download ] 2860 views, 549 downloads, 1 subscription

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About: Python Machine Learning Toolkit


  • fixes for 64-bit machines

Logo gensim 0.7.5

by Radim – November 3, 2010, 16:58:21 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1121 views, 238 downloads, 1 subscription

About: Python Framework for Vector Space Modelling that can handle unlimited datasets (streamed input, algorithms work incrementally in constant memory).


  • optimizations to the single pass SVD algorithm: 400 factors on the English Wikipedia (3.2M documents, 100K features, 0.5G non-zeros) now take 5.25h on a standard laptop.
  • experiments comparing the one-pass algo with Halko et al.’s fast stochastic multi-pass SVD.

Logo Accord.NET Framework 2.1.3

by cesarsouza – November 3, 2010, 14:35:27 CET [ Project Homepage BibTeX Download ] 451 views, 108 downloads, 1 subscription

About: Accord.NET is an extension to AForge.NET, a popular .NET framework for computer vision and machine learning. Currently, Accord.NET provides many statistical analysis and processing functions, as well as image processing and computer vision algorithms.


  • Adding Non-Negative Matrix Factorization, Continuous density Hidden Markov Models and Gaussian Mixture Models;
  • Heavy work on documentation.

Logo MyMediaLite 0.05

by zenog – November 3, 2010, 10:51:33 CET [ Project Homepage BibTeX Download ] 309 views, 50 downloads, 1 subscription

About: MyMediaLite is a lightweight, multi-purpose library of recommender system algorithms.

Changes:bugfixes and other improvements, most notably

  • command-line tool: fix the output of rating predictions – map the user/item IDs back to the original IDs
  • unit tests for basic data types
  • examples for using MyMediaLite with IronPython

Logo Apache Mahout 0.4

by gsingers – November 2, 2010, 04:28:34 CET [ Project Homepage BibTeX Download ] 4427 views, 1032 downloads, 2 subscriptions

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:We are pleased to announce release 0.4 of Mahout. Virtually every corner of the project has changed, and significantly, since 0.3. Developers are invited to use and depend on version 0.4 even as yet more change is to be expected before the next release. Highlights include:

* Model refactoring and CLI changes to improve integration and consistency
* New ClusterEvaluator and CDbwClusterEvaluator offer new ways to evaluate clustering effectiveness
* New Spectral Clustering and MinHash Clustering (still experimental)
* New VectorModelClassifier allows any set of clusters to be used for classification
* Map/Reduce job to compute the pairwise similarities of the rows of a matrix using a customizable similarity measure
* Map/Reduce job to compute the item-item-similarities for item-based collaborative filtering
* RecommenderJob has been evolved to a fully distributed item-based recommender
* Distributed Lanczos SVD implementation
* More support for distributed operations on very large matrices
* Easier access to Mahout operations via the command line
* New HMM based sequence classification from GSoC (currently as sequential version only and still experimental)
* Sequential logistic regression training framework
* New SGD classifier
* Experimental new type of NB classifier, and feature reduction options for existing one
* New vector encoding framework for high speed vectorization without a pre-built dictionary
* Additional elements of supervised model evaluation framework
* Promoted several pieces of old Colt framework to tested status (QR decomposition, in particular)
* Can now save random forests and use it to classify new data
* Many, many small fixes, improvements, refactorings and cleanup

Logo Pyriel 1.5

by tfawcett – October 27, 2010, 09:12:53 CET [ BibTeX BibTeX for corresponding Paper Download ] 3329 views, 574 downloads, 1 subscription

About: Pyriel is a Python system for learning classification rules from data. Unlike other rule learning systems, it is designed to learn rule lists that maximize the area under the ROC curve (AUC) instead of accuracy. Pyriel is mostly an experimental research tool, but it’s robust and fast enough to be used for lightweight industrial data mining.

Changes:1.5 Changed CF (confidence factor) to do LaPlace smoothing of estimates. New flag “–score-for-class C” causes scores to be computed relative to a given (positive) class. For two-class problems. Fixed bug in example sampling code (–sample n) Fixed bug keeping old-style example formats (terminated by dot) from working. More code restructuring.

Showing Items 1-10 of 278 on page 1 of 28: 1 2 3 4 5 6 Next Last