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Showing Items 371-380 of 623 on page 38 of 63: First Previous 33 34 35 36 37 38 39 40 41 42 43 Next Last

Logo multi assignment clustering of Boolean data 2.001

by mafrank - March 3, 2012, 09:04:04 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 8207 views, 1203 downloads, 1 subscription

About: Implementation of the multi-assignment clustering method for Boolean vectors.

Changes:

new bib added


Logo Probabilistic Classification Vector Machine 0.22

by fmschleif - November 10, 2015, 13:16:19 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5502 views, 1202 downloads, 3 subscriptions

About: PCVM library a c++/armadillo implementation of the Probabilistic Classification Vector Machine.

Changes:

30.10.2015 * code has been revised in some places fixing also some errors different multiclass schemes and hdf5 file support added. Some speed ups and memory savings by better handling of intermediate objects.

27.05.2015: - Matlab binding under Windows available. Added a solution file for VS'2013 express to compile a matlab mex binding. Can not yet confirm that under windows the code is really using multiple cores (under linux it does)

29.04.2015 * added an implementation of the Nystroem based PCVM includes: Nystroem based singular value decomposition (SVD), eigenvalue decomposition (EVD) and pseudo-inverse calculation (PINV)

22.04.2015 * implementation of the PCVM released


Logo VoxForge 0.1

by nshmyrev - February 7, 2010, 02:25:43 CET [ Project Homepage BibTeX Download ] 3749 views, 1202 downloads, 0 comments, 1 subscription

About: Free Speech Database for ASR engines

Changes:

Initial Announcement on mloss.org.


Logo OXlearn 1.0

by gwestermann - January 11, 2010, 11:48:26 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5610 views, 1200 downloads, 1 subscription

About: OXlearn is a free neural network simulation software that enables you to build, train, test and analyse connectionist neural network models. Because OXlearn is implemented as a Matlab toolbox you can run it on all operation systems (Windows, Linux, MAC, etc.), and there is a compiled version for XP.

Changes:

Initial Announcement on mloss.org.


Logo Java Optimized Processor for Embedded Machine Learning 1

by rasped - December 15, 2009, 12:51:26 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5782 views, 1189 downloads, 1 subscription

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About: JOP is a Java virtual machine implemented in hardware. It is a hard real-time open source multicore processor capable of worst case execution time analysis of Java code.

Changes:

Initial Announcement on mloss.org.


Logo OpenNN 3.0

by Sergiointelnics - February 11, 2016, 16:55:37 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6694 views, 1185 downloads, 4 subscriptions

About: OpenNN is an open source class library written in C++ programming language which implements neural networks, a main area of deep learning research. The library has been designed to learn from both data sets and mathematical models.

Changes:

New algorithms, correction of bugs, model selection algorithms.


Logo yaplf 0.7

by malchiod - April 22, 2010, 11:34:07 CET [ Project Homepage BibTeX Download ] 4769 views, 1182 downloads, 1 subscription

About: yaplf (Yet Another Python Learning Framework) is an extensible machine learning framework written in python

Changes:

Initial Announcement on mloss.org.


Logo r-cran-caretNWS 0.25

by r-cran-robot - December 3, 2008, 00:00:00 CET [ Project Homepage BibTeX Download ] 4826 views, 1179 downloads, 1 subscription

About: Classification and Regression Training in Parallel Using NetworkSpaces: Augment some caret functions using parallel processing

Changes:

Initial Announcement on mloss.org.


Logo MLweb 0.1.4

by lauerfab - June 28, 2016, 16:00:52 CET [ Project Homepage BibTeX Download ] 5175 views, 1176 downloads, 3 subscriptions

About: MLweb is an open source project that aims at bringing machine learning capabilities into web pages and web applications, while maintaining all computations on the client side. It includes (i) a javascript library to enable scientific computing within web pages, (ii) a javascript library implementing machine learning algorithms for classification, regression, clustering and dimensionality reduction, (iii) a web application providing a matlab-like development environment.

Changes:
  • Add Logistic Regression
  • Add support for sparse input in fast training of linear SVM
  • Better support for sparse vectors/matrices
  • Fix plot windows in IE
  • Minor bug fixes

About: You can use the software in this package to efficiently sample from

Changes:

Initial Announcement on mloss.org.


Showing Items 371-380 of 623 on page 38 of 63: First Previous 33 34 35 36 37 38 39 40 41 42 43 Next Last