FlexCRFs: A Flexible Conditional Random Fields Toolkit for Labeling and Segmenting Sequence Data (this includes a parallel implementation of CRFs called PCRFs to support training CRF models on massively parallel computer systems).

Project Activity

See All Activity >

Categories

Artificial Intelligence, Information Analysis

License

GNU General Public License version 2.0 (GPLv2)

Follow FlexCRFs: Flex Conditional Random Fields

FlexCRFs: Flex Conditional Random Fields Web Site

You Might Also Like
Achieve perfect load balancing with a flexible Open Source Load Balancer Icon
Achieve perfect load balancing with a flexible Open Source Load Balancer

Take advantage of Open Source Load Balancer to elevate your business security and IT infrastructure with a custom ADC Solution.

Boost application security and continuity with SKUDONET ADC, our Open Source Load Balancer, that maximizes IT infrastructure flexibility. Additionally, save up to $470 K per incident with AI and SKUDONET solutions, further enhancing your organization’s risk management and cost-efficiency strategies.
Learn More
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of FlexCRFs: Flex Conditional Random Fields!

Additional Project Details

Operating Systems

Cygwin, Linux, BSD, Windows

Intended Audience

Information Technology, Science/Research, Developers

User Interface

Console/Terminal

Programming Language

C++, C

Related Categories

C++ Artificial Intelligence Software, C++ Information Analysis Software, C Artificial Intelligence Software, C Information Analysis Software

Registered

2006-12-11
Report inappropriate content