904Labs B.V.

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  1. A hybrid approach that uses rules and machine learning for detecting whether a user agent string refers to a bot or not.

    Python 7 5

  2. Forked from NLeSC/xtas

    Distributed text analysis suite based on Celery

    Python

  3. Quick 'n dirty tekst analyzing application

    Python

  4. Forked from bholley/maul

    A Machine Learning approach to User-Agent parsing

    C++

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Showing 6 of 6 repositories

  • 904labs/FA-IR_Ranking’s past year of commit activity

    Python 0

    6 0 0

    Updated Nov 23, 2017

  • xtas Public Forked from NLeSC/xtas

    Distributed text analysis suite based on Celery

    904labs/xtas’s past year of commit activity

    Python 0 Apache-2.0

    32 0 0

    Updated Feb 25, 2016

  • user-agent-ml Public

    A hybrid approach that uses rules and machine learning for detecting whether a user agent string refers to a bot or not.

    904labs/user-agent-ml’s past year of commit activity

    Python

    7

    Apache-2.0

    5 0 0

    Updated Jul 8, 2015

  • ctTrakr Public

    Quick 'n dirty tekst analyzing application

    904labs/ctTrakr’s past year of commit activity

    Python 0 MIT 0

    0 0

    Updated Feb 26, 2015

  • 904labs/semanticizest’s past year of commit activity

    Python 0 Apache-2.0

    14 0 0

    Updated Feb 25, 2015

  • maul Public Forked from bholley/maul

    A Machine Learning approach to User-Agent parsing

    904labs/maul’s past year of commit activity

    C++ 0

    8 0 0

    Updated Dec 10, 2010