Description:

Lynx is a research-oriented MATLAB toolbox for designing in a fast way supervised machine learning experiments. Details of a simulation can be specified under a configuration file, and the toolbox takes charge of loading data, partitioning it, testing the algorithms and visualizing the results. Additionally, it has support for parallelizing the experiments, and enabling GPU support. This makes large experiments easily repeatable and modifiable.

We have currently pre-implemented several algorithms (e.g. support vector machines, kernel ridge regression...), optimization routines (grid-search procedures, searching the optimal feature subset...), and datasets.

You can see examples of use (taken from my research papers) on: http://ispac.ing.uniroma1.it/scardapane/software/code/

Please do not hesitate to contact me for any help. The toolbox has been tested on MATLAB R2013a.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download

Supported Operating Systems: Agnostic

Data Formats: Mat

Tags: Svm, Parallel, Gpu, Cluster, Comparison, Extreme Learning Machine, Neural Network

Archive: download here

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