SIGs/ML
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= Machine Learning SIG = | = Machine Learning SIG = | ||
| − | The Machine Learning SIG | + | The Machine Learning SIG's goal is to make Fedora the best platform for all things related to [http://en.wikipedia.org/wiki/Machine_learning Machine Learning]. We aim to act a hub in the gap between the Astronomy, Bigdata, Fedora Medical and Science and Technology SIGs. |
| + | |||
| + | == Members == | ||
| + | |||
| + | [[User:besser82|Björn Esser (besser82)]] <[mailto:besser82@fedoraproject.org besser82@fedoraproject.org]> | ||
| + | |||
| + | [[User:kushal124|Kushal Khandelwal (kushal124)]] <[mailto:kushalkhandelwal10@gmail.com kushalkhandelwal10@gmail.com]> | ||
| + | |||
| + | [[User:lupinix|Christian Dersch (lupinix)]] <[mailto:chrisdersch@gmail.com chrisdersch@gmail.com]> | ||
= Machine Learning Packages = | = Machine Learning Packages = | ||
| + | |||
| + | == Interesting software waiting for being packaged == | ||
| + | |||
| + | * [https://pypi.python.org/pypi/bob bob - free signal-processing and machine learning toolbox] | ||
| + | * [https://pypi.python.org/pypi/copper copper - Fast, easy and intuitive machine learning prototyping] | ||
| + | * [https://pypi.python.org/pypi/ease ease - Machine learning based automated text classification library] | ||
| + | * [https://pypi.python.org/pypi/hyperspy hyperspy - Hyperspectral data analysis toolbox] | ||
| + | * [https://pypi.python.org/pypi/infer infer - machine learning toolkit for classification and assisted experimentation] | ||
| + | * [http://java-ml.sourceforge.net/ Java-ML] | ||
| + | * [https://pypi.python.org/pypi/milk milk - Machine Learning Toolkit] | ||
| + | * [https://pypi.python.org/pypi/MLizard MLizard - Machine Learning workflow automatization] | ||
| + | * [http://mlpy.sourceforge.net/ mlpy - Machine Learning Python] | ||
| + | * [https://pypi.python.org/pypi/mmlf Maja Machine Learning Framework] | ||
| + | * [https://pypi.python.org/pypi/Monte Monte - machine learning in pure Python] | ||
| + | * [https://pypi.python.org/pypi/nolearn nolearn - Miscellaneous utilities for machine learning] | ||
| + | * [https://pypi.python.org/pypi/pcSVM pcSVM] | ||
| + | * [https://pypi.python.org/pypi/Peach Peach - Python library for computational intelligence and machine learning] | ||
| + | * [http://pybrain.org/ PyBrain] | ||
| + | * [http://pyml.sourceforge.net/ PyML] | ||
| + | * [https://pypi.python.org/pypi/ramp Rapid Machine Learning Prototyping] | ||
| + | * [https://pypi.python.org/pypi/Reinforcement-Learning-Toolkit Reinforcement-Learning-Toolkit] | ||
| + | * [https://pypi.python.org/pypi/tradingmachine tradingmachine - backtester for financial algorithms] | ||
| + | * [http://sourceforge.net/projects/weka/ Weka - Machine Learning Software in Java] | ||
| + | * [https://pypi.python.org/pypi/zipline zipline - backtester for financial algorithms] | ||
| + | |||
| + | == Work in progress == | ||
| + | |||
| + | {| | ||
| + | ! Package !! People involved !! Status !! Notes | ||
| + | |- | ||
| + | | [http://mahout.apache.org/ Apache Mahout] || [[User:Besser82 | besser82]] || WIP || | ||
| + | |- | ||
| + | | [https://pypi.python.org/pypi/astroML astroML] || [[User:lupinix|lupinix]] || WIP || | ||
| + | |- | ||
| + | | [http://orange.biolab.si/ Orange] || [[User:Besser82 | besser82]] || WIP || depends on [[rhbug:1000829 | LINPACK]] | ||
| + | |- | ||
| + | | [http://www.clips.ua.ac.be/pages/pattern Pattern - Web mining module for Python] || [[User:kushal124|kushal124]] || WIP || | ||
| + | |- | ||
| + | | [http://scikit-learn.org/ scikit-learn - Machine Learning in Python] || || review done, but needs unbundling || depends on [[rhbug:999823 | unbundling]] | ||
| + | |- | ||
| + | | [http://shogun-toolbox.org/ SHOGUN] || [[User:Besser82 | besser82]] || DONE || [[User:Besser82/Changes/shogun | upcoming feature for F21]] Imported && Build | ||
| + | |} | ||
== New packages == | == New packages == | ||
| Line 43: | Line 93: | ||
There is no formal process for participating; joining the mailing list, hanging out on IRC, or participating in meetings are all fantastic ways to get involved. | There is no formal process for participating; joining the mailing list, hanging out on IRC, or participating in meetings are all fantastic ways to get involved. | ||
| − | A little self-introduction on the mailing list would be nice, too. | + | A little self-introduction on the mailing list would be nice, too. And, if you want to, add yourself to [[SIGs/ML#Members | our members-section above]]. |
== Mailing list == | == Mailing list == | ||
Revision as of 11:05, 19 December 2013
Contents |
Machine Learning SIG
The Machine Learning SIG's goal is to make Fedora the best platform for all things related to Machine Learning. We aim to act a hub in the gap between the Astronomy, Bigdata, Fedora Medical and Science and Technology SIGs.
Members
Björn Esser (besser82) <besser82@fedoraproject.org>
Kushal Khandelwal (kushal124) <kushalkhandelwal10@gmail.com>
Christian Dersch (lupinix) <chrisdersch@gmail.com>
Machine Learning Packages
Interesting software waiting for being packaged
- bob - free signal-processing and machine learning toolbox
- copper - Fast, easy and intuitive machine learning prototyping
- ease - Machine learning based automated text classification library
- hyperspy - Hyperspectral data analysis toolbox
- infer - machine learning toolkit for classification and assisted experimentation
- Java-ML
- milk - Machine Learning Toolkit
- MLizard - Machine Learning workflow automatization
- mlpy - Machine Learning Python
- Maja Machine Learning Framework
- Monte - machine learning in pure Python
- nolearn - Miscellaneous utilities for machine learning
- pcSVM
- Peach - Python library for computational intelligence and machine learning
- PyBrain
- PyML
- Rapid Machine Learning Prototyping
- Reinforcement-Learning-Toolkit
- tradingmachine - backtester for financial algorithms
- Weka - Machine Learning Software in Java
- zipline - backtester for financial algorithms
Work in progress
| Package | People involved | Status | Notes |
|---|---|---|---|
| Apache Mahout | besser82 | WIP | |
| astroML | lupinix | WIP | |
| Orange | besser82 | WIP | depends on LINPACK |
| Pattern - Web mining module for Python | kushal124 | WIP | |
| scikit-learn - Machine Learning in Python | review done, but needs unbundling | depends on unbundling | |
| SHOGUN | besser82 | DONE | upcoming feature for F21 Imported && Build |
New packages
When submitting a new ml-related package for review, please add "Blocks: ML-SIG" to your review-request. After the review has been granted don't forget to remove it, when filing the SCM-request, please.
When you are filing your SCM-admin-request, you should make sure to request InitialCC for "ml-sig".
Example:
New Package SCM Request ======================= Package Name: pkgname Short Description: summary of package Owners: foo bar Branches: f18 f19 f20 el5 el6 InitialCC: ml-sig
Packages waiting for your review
You can find them on the ML-SIG review-tracker.
We would be glad, if you would take one or a few. :)
Existing packages
You can find the existing ml-related packages on the PkgDB.
Categories
more to come soon.
What are we going to do?
more to come soon.
Participation
There is no formal process for participating; joining the mailing list, hanging out on IRC, or participating in meetings are all fantastic ways to get involved.
A little self-introduction on the mailing list would be nice, too. And, if you want to, add yourself to our members-section above.
Mailing list
IRC
We will likely hang out on irc.freenode.net at #fedora-ml. German members may want to come into #fedora-ml-de, too.
Haven't used IRC for communication before? More information on how to use IRC is available here.
Meetings
We shall have them, and see how it goes.
more to come soon.
