C++, Matlab and Python library for Hidden-state Conditional Random Fields. Implements 3 algorithms: LDCRF, HCRF and CRF. For Windows and Linux, 32- and 64-bits. Optimized for multi-threading. Works with sparse or dense input features.

Features

  • Matlab Binaries of the latest version (3.0a) are included in the matlab toolbox: MLToolbox (as seen here: https://sourceforge.net/projects/mltoolbox/)
  • HCRF_full version includes 3rd party dependencies. Please note their individual license files before distributing.

Project Activity

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Categories

Algorithms, Library Management, Information Analysis

License

GNU Library or Lesser General Public License version 3.0 (LGPLv3)

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User Ratings

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User Reviews

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  • amiaty Posted 2016-06-19
    Best HCRF LDCRF toolbox, nice features.
  • janvenu Posted 2014-03-11
    The toolbox is great! Some example with loadData matlab function will be appreciated.
  • scottsimpson2 Posted 2013-06-03
    Nice, thank you
    2 users found this review helpful.
  • skyofmandy Posted 2013-02-12
    It only supports chain structure, not tree?
  • xyl0709 Posted 2011-08-31
    Is there anybody offer a simple show about how to use HCRF for speech recognition?
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Additional Project Details

Operating Systems

Linux, Windows

Intended Audience

Developers, Science/Research

User Interface

Command-line

Programming Language

C++, MATLAB, Python

Related Categories

MATLAB Algorithms, MATLAB Library Management Software, MATLAB Information Analysis Software, Python Algorithms, Python Library Management Software, Python Information Analysis Software, C++ Algorithms, C++ Library Management Software, C++ Information Analysis Software

Registered

2006-06-15
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