Active Learning
An active learning plugin for fine tuning of deep learning models.
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.
Version:
- 0.1.0
Last updated:
- 2025-05-30
First released:
- 2024-07-31
License:
- MIT
Operating system:
- Information not submitted
Requirements:
- napari
- numpy
- dask[array]
- magicgui
- qtpy
- scikit-image
- tifffile
- tensorstore==0.1.59
- ome-zarr==0.9.0
- zarr<3.0.0,>=2.12.0
- zarrdataset>=0.2.1
- cellpose>=3.0.0; extra == "cellpose"
- tox; extra == "testing"
- pytest; extra == "testing"
- pytest-cov; extra == "testing"
- pytest-qt; extra == "testing"
- napari; extra == "testing"
- pyqt5; extra == "testing"