Category:Packages: Difference between revisions

Category:Packages (edit)

Revision as of 04:26, 30 September 2020

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Siko1056

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 | The Shogun Machine Learning Toolbox®.
 | 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 ==