libact: Pool-based Active Learning in Python

Yao-Yuan Yang, Shao-Chuan Lee, Yu-An Chung, Tung-En Wu, Si-An Chen +1 more
10/1/2017
cs.LG

Official code: ntucllab/libact (791 stars, BSD-2-Clause, last commit 2026-10-12).

Abstract

libact is a Python package designed to make active learning easier for general users. The package not only implements several popular active learning strategies, but also features the active-learning-by-learning meta-algorithm that assists the users to automatically select the best strategy on the fly. Furthermore, the package provides a unified interface for implementing more strategies, models and application-specific labelers. The package is open-source on Github, and can be easily installed from Python Package Index repository.

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Code Implementations(1)

ntucllab/libactOfficial100%
BSD-2-Clause

Pool-based active learning in Python

791172C, C++Dec 6, 20151 weeks agoBSD-2-Clause
active-learningmachine-learningmachine-learning-libraryuncertainty-sampling

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Cite this paper

@article{yang2017libact,
  title  = {libact: Pool-based Active Learning in Python},
  author = {Yao-Yuan Yang and Shao-Chuan Lee and Yu-An Chung and Tung-En Wu and Si-An Chen and Hsuan-Tien Lin},
  year   = {2017},
  eprint = {1710.00379},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/1710.00379}
}

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