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-0.0.10.tar.gz (52.9 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-0.0.10-py3-none-any.whl (46.4 kB view details)

Uploaded Python 3

File details

Details for the file napari_activelearning-0.0.10.tar.gz.

File metadata

  • Download URL: napari_activelearning-0.0.10.tar.gz
  • Upload date:
  • Size: 52.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for napari_activelearning-0.0.10.tar.gz
Algorithm Hash digest
SHA256 7e0a76ed9e329a75b5b56c913b0d972adcef7010eebf2671ec7f76d6c2425217
MD5 5532addd32c01be82fdb68ff099bf0d7
BLAKE2b-256 6fd666b0810d437fa5166bd33020f2dc38050b25be2edae7cd532ff838ade454

See more details on using hashes here.

File details

Details for the file napari_activelearning-0.0.10-py3-none-any.whl.

File metadata

File hashes

Hashes for napari_activelearning-0.0.10-py3-none-any.whl
Algorithm Hash digest
SHA256 976273239ebbb4d15f58f7e2f3a0a801a6b3a8d07d39232223822cb86b67467c
MD5 746a90d91efa36d69aef5e65d239eb8e
BLAKE2b-256 8f5ff04a8a04202faf20e0cc732d53b2b0d5832498ca62fbafebd93f12f42ba1

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