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

See All Activity >

License

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

Follow HCRF library (including CRF and LDCRF)

HCRF library (including CRF and LDCRF) Web Site

Other Useful Business Software
Simplify IT and security with a single endpoint management platform Icon
Simplify IT and security with a single endpoint management platform

Automate the hardest parts of IT

NinjaOne automates the hardest parts of IT, delivering visibility, security, and control over all endpoints for more than 20,000 customers. The NinjaOne automated endpoint management platform is proven to increase productivity, reduce security risk, and lower costs for IT teams and managed service providers. The company seamlessly integrates with a wide range of IT and security technologies. NinjaOne is obsessed with customer success and provides free and unlimited onboarding, training, and support.
Learn More
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
5
2
0
0
0
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 3 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 3 / 5

User Reviews

  • Best HCRF LDCRF toolbox, nice features.
  • The toolbox is great! Some example with loadData matlab function will be appreciated.
  • The toolbox is great! Some example with loadData matlab function will be appreciated.
  • The toolbox is great! Some example with loadData matlab function will be appreciated.
  • Nice, thank you
    2 users found this review helpful.
Read more reviews >

Additional Project Details

Operating Systems

Linux, Windows

Intended Audience

Science/Research, Developers

User Interface

Command-line

Programming Language

MATLAB, Python, C++

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