Packages: Difference between revisions
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Feel free to add unlisted packages. | Feel free to add unlisted packages. | ||
== go-redis == | |||
GNU Octave Redis client | |||
* https://github.com/markuman/go-redis | |||
== LIBSVM, LIBLINEAR == | == LIBSVM, LIBLINEAR == | ||
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The Large Time-Frequency Analysis Toolbox®. Please note, this package is available on Octave Forge too, but it has its own website. | The Large Time-Frequency Analysis Toolbox®. Please note, this package is available on Octave Forge too, but it has its own website. | ||
* http://ltfat. | * http://ltfat.sohttps://github.com/rmartinjak/mex-sqlite3urceforge.net/ | ||
== mex-sqlite3 == | |||
An extension for MATLAB® or GNU/octave to access sqlite3 databases | |||
* https://github.com/rmartinjak/mex-sqlite3 | |||
== octave-network-toolbox == | |||
A set of graph/networks analysis functions in Octave | |||
* http://aeolianine.github.io/octave-networks-toolbox/ | |||
== octsympy == | == octsympy == |
Revision as of 12:39, 13 December 2014
This is a list of Packages available for GNU Octave.
Octave Forge
The official community packages: http://octave.sourceforge.net/
You may also take a look at the Wiki page for each package: http://wiki.octave.org/Category:Octave-Forge
Other Packages
Feel free to add unlisted packages.
go-redis
GNU Octave Redis client
LIBSVM, LIBLINEAR
Libraries for support vector machine / machine learning classification, regression, and distribution estimation problems. C++, with an interface to Octave.
ltfat
The Large Time-Frequency Analysis Toolbox®. Please note, this package is available on Octave Forge too, but it has its own website.
mex-sqlite3
An extension for MATLAB® or GNU/octave to access sqlite3 databases
octave-network-toolbox
A set of graph/networks analysis functions in Octave
octsympy
A Symbolic Package for Octave using SymPy.
shogun
The Shogun Machine Learning Toolbox®
vlfeat
The VLFeat open source library implements popular computer vision algorithms including HOG, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels, and quick shift.