Projects supporting the none data format.
Showing Items 101-120 of 178 on page 6 of 9: Previous 1 2 3 4 5 6 7 8 9 Next

Logo BenchMarking Via Weka 0.0.4

by fracpete - December 4, 2008, 01:15:15 CET [ Project Homepage BibTeX Download ] 8944 views, 1609 downloads, 0 comments, 2 subscriptions

About: BenchMarking Via Weka is a client-server architecture that supports interoperability between different machine learning systems. Machine learning systems need to provide mechanisms for processing [...]

Changes:

Initial Announcement on mloss.org.


Logo r-cran-caretLSF 1.25

by r-cran-robot - December 3, 2008, 00:00:00 CET [ Project Homepage BibTeX Download ] 3940 views, 1105 downloads, 1 subscription

About: Classification and Regression Training LSF Style: Augment some caret functions for parallel processing

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 ] 4865 views, 1191 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 Adaptive Resonance Theory for Unsupervised Learning 1.0

by ibaze - November 13, 2008, 16:40:28 CET [ Project Homepage BibTeX Download ] 9246 views, 2169 downloads, 1 subscription

About: This software package includes the ART algorithms for unsupervised learning only. It is a family of four programs based on different ART algorithms (ART 1, ART 2A, ART 2A-C and ART Distance). All of [...]

Changes:

Initial Announcement on mloss.org.


Logo Finding nonlinear and stochastic structures in time series 1

by Dante - October 29, 2008, 11:14:44 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 7627 views, 1636 downloads, 2 subscriptions

About: The Delay vector variance (DVV) method uses predictability of the signal in phase space to characterize the time series. Using the surrogate data methodology, so called DVV plots and DVV scatter [...]

Changes:

Initial Announcement on mloss.org.


Logo CVXOPT 1.1

by jdahl - October 24, 2008, 21:37:16 CET [ Project Homepage BibTeX Download ] 6161 views, 1823 downloads, 0 comments, 2 subscriptions

Rating Whole StarWhole StarWhole StarWhole StarEmpty Star
(based on 3 votes)

About: CVXOPT is a free software package for convex optimization based on the Python programming language. It can be used with the interactive Python interpreter, on the command line by executing Python [...]

Changes:

Initial Announcement on mloss.org.


Logo CVX, a modeling system for disciplined convex programming 1.2

by mcgrant - October 21, 2008, 23:55:08 CET [ Project Homepage BibTeX Download ] 8161 views, 1548 downloads, 2 subscriptions

About: CVX is a Matlab-based modeling system for convex optimization. CVX turns Matlab into a modeling language, allowing constraints and objectives to be specified using standard Matlab expression syntax. [...]

Changes:

Initial Announcement on mloss.org.


Logo ILNumerics.Net 1.4.01

by haymo - October 14, 2008, 01:24:28 CET [ Project Homepage BibTeX Download ] 6967 views, 1738 downloads, 1 subscription

About: Intended for .NET developers wanting to implement algorithms directly in a common .NET language (recommended: C#). Support for n-dim generic arrays, LAPACK, FFT, cells, logicals, 2D&3D plotting [...]

Changes:

Initial Announcement on mloss.org.


Logo Eblearn pre-release

by cpoulet - October 10, 2008, 22:20:23 CET [ Project Homepage BibTeX Download ] 5230 views, 1228 downloads, 0 comments, 1 subscription

About: Eblearn is an object-oriented C++ library that implements various

Changes:

Initial Announcement on mloss.org.


Logo Experiment Databases for Machine Learning 0.1

by JoaquinVanschoren - October 7, 2008, 18:06:55 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 7927 views, 1345 downloads, 1 subscription

About: Experiment Databases for Machine Learning is a large public database of machine learning experiments as well as a framework for producing similar databases for specific goals. It provides a way to [...]

Changes:

Initial Announcement on mloss.org.


Logo chestnut Machine Learning Suite 0.1.1

by damianeads - October 7, 2008, 13:04:19 CET [ Project Homepage BibTeX Download ] 5533 views, 1330 downloads, 1 subscription

About: The Chestnut Machine Learning Library is a suite of machine learning algorithms written in Python with some code written in C for efficiency. Most algorithms are called with a simple, functional API [...]

Changes:

Initial Announcement on mloss.org.


Logo Disco 0.1

by tuulos - October 6, 2008, 11:14:48 CET [ Project Homepage BibTeX Download ] 9275 views, 1652 downloads, 1 subscription

About: Disco is an open-source implementation of the [Map-Reduce framework](http://en.wikipedia.org/wiki/MapReduce) for distributed computing. As the original framework, Disco supports parallel [...]

Changes:

Initial Announcement on mloss.org.


Logo SnOB beta

by risi - October 5, 2008, 21:39:18 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5330 views, 1166 downloads, 1 subscription

About: SnOB is a C++ library implementing fast Fourier transforms on the symmetric group (group of permutations). Such Fourier transforms are used by some ranking and identity management algorithms, as [...]

Changes:

Initial Announcement on mloss.org.


Logo Torch 5 5.1

by andresy - October 1, 2008, 04:25:12 CET [ Project Homepage BibTeX Download ] 12939 views, 1943 downloads, 2 subscriptions

Rating Whole StarWhole StarWhole StarWhole StarEmpty Star
(based on 1 vote)

About: Torch5 provides a matlab-like environment for state-of-the-art machine learning algorithms. It is easy to use and provides a very efficient implementation, thanks to a easy and fast scripting [...]

Changes:

Initial Announcement on mloss.org.


About: GMRFLib is a library in C for fast and exact simulation of Gaussian Markov Random Fields (GMRF) on graphs.unconditional simulation of a GMRF, conditional simulation from a GMRF

Changes:

Initial Announcement on mloss.org.


Logo Spike train feature extraction by Bayesian binning 0.1

by dendres - September 24, 2008, 16:19:14 CET [ BibTeX BibTeX for corresponding Paper Download ] 6786 views, 1676 downloads, 0 comments, 1 subscription

About: *binsdfc* is a command line implementation of the algorithm described in [Endres,Oram,Schindelin,Foldiak:*Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms*, [...]

Changes:

Changed build system from automake to cmake. Moved download page to www.compsens.uni-tuebingen.de


Logo Graph kernel based on iterative graph similarity and optimal assignments 2008-01-15

by mrupp - September 22, 2008, 13:42:28 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 9790 views, 1717 downloads, 2 subscriptions

Rating Whole StarWhole StarWhole StarWhole Star1/2 Star
(based on 1 vote)

About: Java package implementing a kernel for (molecular) graphs based on iterative graph similarity and optimal assignments.

Changes:

Initial Announcement on mloss.org.


Logo aureservoir 0.1

by grh - September 12, 2008, 19:02:26 CET [ Project Homepage BibTeX Download ] 6141 views, 1740 downloads, 1 subscription

About: Efficient C++ library for analog reservoir computing neural networks (Echo State Networks).

Changes:

Initial Announcement on mloss.org.


Logo aiParts 0.9.0

by bmarshall - September 8, 2008, 02:56:43 CET [ Project Homepage BibTeX Download ] 5327 views, 1521 downloads, 0 comments, 1 subscription

About: aiParts implements the High-Hope technique - options have models of emotions which affect and are affected by repeated attempts to solve a multi-decision problem. C++ classes for AI development.

Changes:

Initial Announcement on mloss.org.


Logo JMLR LIBLINEAR 1.32

by biconnect - September 3, 2008, 17:35:24 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 20555 views, 2382 downloads, 2 subscriptions

Rating Whole StarWhole StarWhole StarWhole Star1/2 Star
(based on 2 votes)

About: LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, L1-loss linear SVM, and multi-class SVM

Changes:

Initial Announcement on mloss.org.


Showing Items 101-120 of 178 on page 6 of 9: Previous 1 2 3 4 5 6 7 8 9 Next