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Fernando Cervantes (The Jackson Laboratory)

# Active Learning tools for ML models fine-tuning
Active learning tools for fine-tuning ML models

[![License MIT](https://img.shields.io/pypi/l/napari-activelearning.svg?color=green)](https://github.com/TheJacksonLaboratory/activelearning/raw/main/LICENSE)
[![PyPI](https://img.shields.io/pypi/v/napari-activelearning.svg?color=green)](https://pypi.org/project/napari-activelearning)
[![Python Version](https://img.shields.io/pypi/pyversions/napari-activelearning.svg?color=green)](https://python.org)
[![tests](https://github.com/TheJacksonLaboratory/activelearning/workflows/tests/badge.svg)](https://github.com/TheJacksonLaboratory/activelearning/actions)
[![codecov](https://codecov.io/gh/TheJacksonLaboratory/activelearning/branch/main/graph/badge.svg)](https://codecov.io/gh/TheJacksonLaboratory/napari-activelearning)
[![napari hub](https://img.shields.io/endpoint?url=https://api.napari-hub.org/shields/napari-activelearning)](https://napari-hub.org/plugins/napari-activelearning)

A plugin for running a complete active learning workflow

----------------------------------

This [napari] plugin was generated with [Cookiecutter] using [@napari]'s [cookiecutter-napari-plugin] template.



## Installation

You can install `napari-activelearning` via [pip]:

    pip install napari-activelearning




## Contributing

Contributions are very welcome. Tests can be run with [tox], please ensure
the coverage at least stays the same before you submit a pull request.

## License

Distributed under the terms of the [MIT] license,
"napari-activelearning" is free and open source software

## Issues

If you encounter any problems, please [file an issue] along with a detailed description.

[napari]: https://github.com/napari/napari
[Cookiecutter]: https://github.com/audreyr/cookiecutter
[@napari]: https://github.com/napari
[MIT]: http://opensource.org/licenses/MIT
[BSD-3]: http://opensource.org/licenses/BSD-3-Clause
[GNU GPL v3.0]: http://www.gnu.org/licenses/gpl-3.0.txt
[GNU LGPL v3.0]: http://www.gnu.org/licenses/lgpl-3.0.txt
[Apache Software License 2.0]: http://www.apache.org/licenses/LICENSE-2.0
[Mozilla Public License 2.0]: https://www.mozilla.org/media/MPL/2.0/index.txt
[cookiecutter-napari-plugin]: https://github.com/napari/cookiecutter-napari-plugin

[napari]: https://github.com/napari/napari
[tox]: https://tox.readthedocs.io/en/latest/
[pip]: https://pypi.org/project/pip/
[PyPI]: https://pypi.org/

Active Learning tools for ML models fine-tuning
Active learning tools for fine-tuning ML models






A plugin for running a complete active learning workflow

This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.

Installation
You can install napari-activelearning via pip:
pip install napari-activelearning

Contributing
Contributions are very welcome. Tests can be run with tox, please ensure
the coverage at least stays the same before you submit a pull request.
License
Distributed under the terms of the MIT license,
"napari-activelearning" is free and open source software
Issues
If you encounter any problems, please [file an issue] along with a detailed description.

napari-activelearning

An active learning plugin for fine tuning of deep learning models.

napari-activelearning

An active learning plugin for fine tuning of deep learning models.

Installation¶

Contributing¶

License¶

Issues¶