crfsuite ☆
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Description:
Fast implementation of conditional random fields
Type: Formula  |  Latest Version: 0.12@0  |  Tracked Since: Dec 17, 2025
Links: Homepage  |  formulae.brew.sh
Category: Ai ml
Tags: machine-learning nlp sequence-labeling crf cli
Install: brew install crfsuite
About:
CRFSuite is a high-speed implementation of Conditional Random Fields (CRFs), a popular model for probabilistic sequence labeling. It provides a streamlined command-line interface for training models and predicting labels on sequence data. Its primary value is delivering fast and efficient CRF-based sequence tagging suitable for large-scale natural language processing tasks.
Key Features:
  • High-speed training and inference
  • Simple command-line interface
  • Supports standard CRF features
  • Lightweight implementation
Use Cases:
  • Named Entity Recognition (NER) in text
  • Part-of-speech tagging
  • Gene sequence analysis
Alternatives:
  • CRF++ – CRF++ is another widely used CRF toolkit, often noted for its flexibility in feature template definitions.
  • sklearn-crfsuite – A Python wrapper around CRFSuite, offering easier integration into Python-based machine learning pipelines.
License: BSD-3-Clause
Dependencies: liblbfgs
Bottles available for: arm64_tahoe, arm64_sequoia, arm64_sonoma, arm64_ventura, arm64_monterey, arm64_big_sur, sonoma, ventura, monterey, big_sur, arm64_linux, x86_64_linux
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