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Open-Source Machine Learning Library Available

Ridgelift writes "CNet has this article on Intel's OpenML (press release). "The chipmaker's research arm on Monday said it is offering the Open Source Machine Learning Library, a collection of software that can help computers learn from various experiences. It will offer the library to interested parties for free via the Web." Open the pod bay doors, HAL."

6 of 21 comments (clear)

  1. umm, borken links? by Anonymous Coward · · Score: 2, Informative
    Did anybody else have success downloading stuff? The sourceforge page doesn't have shit: it's completely empty. Even some of the pdfs on the intel site are broken links.

    Should of expected as much from those dumbfucks at intel.

  2. Namespace collision? by CableModemSniper · · Score: 4, Informative
    --
    Why not fork?
  3. LingPipe by JohnFluxx · · Score: 4, Informative

    Also going open source is LingPipe. A natural language processing program. Wonder if the two could be hooked up in kde or something hehe.

  4. maxent.sf.net by tealwarrior · · Score: 5, Informative

    There is a mature statistical machine learning package on sourceforge. Check out maxent.sourceforge.net. It's primarily been applied to natural language processing but it's applicable to a wide range of classification problems. There are even examples in the download package. I use it regularly and like it a lot but I'm also the primary maintainer so I might be biased.

    --
    In theory, there is no difference between theory and practice, in practice there is.
  5. Weka by auntfloyd · · Score: 3, Informative

    There are already several excellent open source machine learning toolkits available. The one I have the most experience with is Weka, a Java-based system. In addition to providing an API, it has both command line and GUI tools.

    With that and a decent ML book, I imagine most programmers could get up to speed rather quickly.

  6. More info at DeviceForge by Anonymous Coward · · Score: 1, Informative

    Here's another article on DeviceForge which includes an architecture graphic, a list of sub-projects (and links to them), links to a presentation about Intel's Open Source Machine Learning software and a technical whitepaper, and a link to the SourceForge download site.