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The goal of this project is to provide code for reading and writing machine learning data sets for as many programming languages as possible.
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This is the source code of the mloss.org website.
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The Easysvm package provides a set of tools based on the Shogun toolbox allowing to train and test SVMs in a simple way.
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We provide some preliminary code for multiclass multiple kernel learning in Matlab using CPLEX as a base solver.
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PALMA computes the optimal spliced alignment of a mRNA sequence to a genomic sequence. The main python script takes two FASTA files containing the target (e.g. a DNA sequence, part of the genome) [...]
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