Category:Packages: Difference between revisions

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Category:Packages (edit)

Revision as of 04:26, 30 September 2020

214 bytes removed ,  30 September 2020
→‎Custom installation method: More sorting.
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| The Shogun Machine Learning Toolbox®.
| The Shogun Machine Learning Toolbox®.
| https://github.com/shogun-toolbox/shogun
| https://github.com/shogun-toolbox/shogun
|-
| 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.
| https://github.com/vlfeat/vlfeat https://www.vlfeat.org/
|-
| epanet-octave
| The epanet-octave open source library is a wrapper, including some scripts, to call Epanet Toolkit. Functions are adapted to improve its usability in GNU Octave (e.g. allowing vectors as EpaNet Toolkit function inputs). Still under development.
| https://forja.cica.es/projects/epanet-octave/
|-
| mexopencv
| Collection and a development kit of mex functions for OpenCV library.
| https://github.com/kyamagu/mexopencv/ https://kyamagu.github.io/mexopencv/
|-
| gpml
| Gaussian processes for machine learning.
| https://gitlab.com/hnickisch/gpml-matlab/ http://gaussianprocess.org/gpml/code/matlab/doc/
|-
| ekfukf
| Kalman filtering and smoothing.
| https://github.com/kakila/ekfukf/
|-
| fda
| Functional data analysis.
| https://gitlab.com/kakila/fda/
|}
|}
=== 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.
* http://www.vlfeat.org/index.html
=== epanet-octave ===
The epanet-octave open source library is a wrapper, including some scripts, to call Epanet Toolkit. Functions are adapted to improve its usability in GNU Octave (e.g. allowing vectors as EpaNet Toolkit function inputs). Still under development.
* https://forja.cica.es/projects/epanet-octave/
=== mexopencv ===
Collection and a development kit of matlab mex functions for OpenCV library
* http://kyamagu.github.io/mexopencv
* https://github.com/kyamagu/mexopencv
=== gpml ===
Gaussian processes for machine learning
* [http://www.gaussianprocess.org/gpml/code/matlab/doc/ Webpage of the author]
* [https://gitlab.com/hnickisch/gpml-matlab Repository]
* Downloads or pkg installation: https://gitlab.com/hnickisch/gpml-matlab/-/releases
=== ekfukf ===
Kalman filtering and smoothing
* [https://github.com/kakila/ekfukf Repository]
=== fda ===
Functional data analysis
* [http://www.psych.mcgill.ca/misc/fda/ Webpage of the author]
* [https://gitlab.com/kakila/fda Repository]


== Commercial code ==
== Commercial code ==
Retrieved from "https://wiki.octave.org/Special:MobileDiff/13374"

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