Skip to main content

A library to facilitate machine learning on large, multi-dimensional images.

Project description

gunpowder

Tests

A library to facilitate machine learning on large, multi-dimensional images.

gunpowder allows you to assemble a pipeline from data loading over pre-processing, random batch sampling, data augmentation, pre-caching, training/prediction, to storage of results on arbitrarily large volumes of multi-dimensional images. gunpowder is not tied to a particular learning framework, and thus complements libraries like torch, tensorflow.

The full documentation can be found here.

gunpowder was originally written by Jan Funke and is inspired by PyGreentea by William Grisaitis, Fabian Tschopp, and Srini Turaga.

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

gunpowder-1.3.0.tar.gz (127.3 kB view hashes)

Uploaded Source

Built Distribution

gunpowder-1.3.0-py3-none-any.whl (172.3 kB view hashes)

Uploaded Python 3

Supported by

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