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annotate doc/v2_planning/existing_python_ml_libraries.txt @ 1085:de456561ec40

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dataset: Rewrote my rambling about the links between dataset and learner
author Olivier Delalleau <delallea@iro>
date Fri, 10 Sep 2010 20:24:51 -0400
parents 4eaf576c3e9a
children 0e12ea6ba661
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Dumitru Erhan <dumitru.erhan@gmail.com>
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1 Committee members: GD, DWF, IG, DE
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2
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3 This committee will investigate the possibility of interfacing and/or
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4 borrowing from other Python machine learning libraries that exist out there.
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5 Some questions that we need to answer:
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6
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7 * How much should we try to interface with other libraries?
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8 * What parts can we and should we implement ourselves and what should we leave
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9 to the other libraries?
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10
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11 Preliminary list of libraries to look at:
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12
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Ian Goodfellow
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13 * Pybrain Razvan
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14 * MDP Ian
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15 * Orange (http://www.ailab.si/orange/) Ian (but could trade)
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16 * PyML (http://pyml.sourceforge.net/)
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17 * mlpy (https://mlpy.fbk.eu/) Dumitru
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18 * APGL (http://packages.python.org/apgl/) Dumitru
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875d53754bd0 Picked MontePython as second ML library to look into
gdesjardins
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19 * MontePython (http://montepython.sourceforge.net/) Guillaume (but could trade)
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20 * Shogun python bindings
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Ian Goodfellow
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21 * libsvm python bindings Ian (but could trade)
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Ian Goodfellow
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22 * scikits.learn Guillaume (but could trade)
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23
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24 Also check out http://scipy.org/Topical_Software#head-fc5493250d285f5c634e51be7ba0f80d5f4d6443
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25 - scipy.org's ``topical software'' section on Artificial Intelligence and
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26 Machine Learning