Showing 5 open source projects for "java machine leaning library"

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  • 1
    tika-python

    tika-python

    Python binding to the Apache Tika™ REST services

    A Python port of the Apache Tika library that makes Tika available using the Tika REST Server. This makes Apache Tika available as a Python library, installable via Setuptools, Pip and easy to install. To use this library, you need to have Java 7+ installed on your system as tika-python starts up the Tika REST server in the background. To get this working in a disconnected environment, download a tika server file (both tika-server.jar and tika-server.jar.md5, which can be found here) and set...
    Downloads: 1 This Week
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  • 2
    HyperVM

    HyperVM

    HyperVM Virtual Machine Hosting Panel

    HyperVM is a multi-tiered, multi-server, multi-virtualization software product allowing a VPS vendor to provision, manage and delegate Xen or OpenVZ based virtual private servers. HyperVM allows users to manage VPS' across multiple servers transparently: it provides a mechanism to manage their networking configuration (IP address, gateway) from the control panel itself, and has a full-fledged IP address pool to facilitate large scale management. HyperVM also comes integrated with Kloxo...
    Downloads: 3 This Week
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  • 3
    feed4weka is an open library that enriches weka (http://www.cs.waikato.ac.nz/ml/weka/), an open source project for data analysis. It integrates new classification and clustering algorithms, and adds the coclustering and outlier detection frameworks
    Downloads: 0 This Week
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  • 4
    ICT-Alive
    The aim of ALIVE is to develop new approaches to the engineering of flexible, adaptable distributed service-oriented systems based on the adaptation of social coordination and organisation mechanisms.
    Downloads: 0 This Week
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  • 5
    Migration Machine ETL is a general-purpose bulk data migration framework based on Java and XML. It performs comprehensive transformation and re-structuring of enterprise data. Suitable for legacy system conversions and building mid-size data warehouses.
    Downloads: 0 This Week
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