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- W4300485818 abstract "modAL is a modular active learning framework for Python, aimed to make active learning research and practice simpler. Its distinguishing features are (i) clear and modular object oriented design (ii) full compatibility with scikit-learn models and workflows. These features make fast prototyping and easy extensibility possible, aiding the development of real-life active learning pipelines and novel algorithms as well. modAL is fully open source, hosted on GitHub at https://github.com/cosmic-cortex/modAL. To assure code quality, extensive unit tests are provided and continuous integration is applied. In addition, a detailed documentation with several tutorials are also available for ease of use. The framework is available in PyPI and distributed under the MIT license." @default.
- W4300485818 created "2022-10-03" @default.
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- W4300485818 date "2018-05-02" @default.
- W4300485818 modified "2023-09-26" @default.
- W4300485818 title "modAL: A modular active learning framework for Python" @default.
- W4300485818 doi "https://doi.org/10.48550/arxiv.1805.00979" @default.
- W4300485818 hasPublicationYear "2018" @default.
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