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-0.0.7.tar.gz (46.0 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-0.0.7-py3-none-any.whl (45.9 kB view details)

Uploaded Python 3

File details

Details for the file napari_activelearning-0.0.7.tar.gz.

File metadata

  • Download URL: napari_activelearning-0.0.7.tar.gz
  • Upload date:
  • Size: 46.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for napari_activelearning-0.0.7.tar.gz
Algorithm Hash digest
SHA256 e3c7b6e23673614dc2648671c6cc8504340b17245f2b9e35113442db0790eb7d
MD5 92f4131e3310c6f47e730354f74e5127
BLAKE2b-256 55b86442c6e1ed8ae49386c2944b24b7a6622248f8c393448a278eab9a6fcfc8

See more details on using hashes here.

File details

Details for the file napari_activelearning-0.0.7-py3-none-any.whl.

File metadata

File hashes

Hashes for napari_activelearning-0.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 b16d0a32695935120c747f0af5462a31060e9a639c4a8b98932b665c1a4e190a
MD5 531c47d33c3cdb46dbdeb25d13fb0258
BLAKE2b-256 30a663c92e165c15e78ad3585bc798fa5e993ec36db43fa43461ade3b0b35069

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