Skip to main content

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

Project description

Active Learning tools for ML models fine-tuning

Active learning tools for fine-tuning ML models

License MIT PyPI Python Version tests codecov napari hub

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

napari_activelearning-0.0.12.tar.gz (56.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

napari_activelearning-0.0.12-py3-none-any.whl (48.1 kB view details)

Uploaded Python 3

File details

Details for the file napari_activelearning-0.0.12.tar.gz.

File metadata

  • Download URL: napari_activelearning-0.0.12.tar.gz
  • Upload date:
  • Size: 56.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.1

File hashes

Hashes for napari_activelearning-0.0.12.tar.gz
Algorithm Hash digest
SHA256 fed8dc4bb1e79dae598d706454c857ebdcb1c3d0ecc6c72c06110b73bfb57f8a
MD5 fd056f7293df566f74c6e7a103e2d1c1
BLAKE2b-256 39ba05cfe2d1573201d975778b88164fc33028ec6340a4b0e1107258dd9727d9

See more details on using hashes here.

File details

Details for the file napari_activelearning-0.0.12-py3-none-any.whl.

File metadata

File hashes

Hashes for napari_activelearning-0.0.12-py3-none-any.whl
Algorithm Hash digest
SHA256 a860bab5bd77332acb783945f57b3b1d837b9de20a9bc68a78113ea4255a1e05
MD5 835ed397379521e15c3788829437cf02
BLAKE2b-256 a417461ea3e0affc4a76d4d6d69ed9e1179195f7d1e20f24bd26d4d8f3bb2617

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page