This is the Linux app named HCRF library (including CRF and LDCRF) to run in Linux online whose latest release can be downloaded as HCRF2.0b.tar. It can be run online in the free hosting provider OnWorks for workstations.
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HCRF library (including CRF and LDCRF) to run in Linux online
DESCRIPTION:
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.
Audience
Developers, Science/Research
User interface
Command-line
Programming Language
C++, MATLAB, Python
This is an application that can also be fetched from https://sourceforge.net/projects/hcrf/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.