Invertible U-Nets for memory efficiency in Pytorch

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for cetmann from gravatar.com cetmann

Unverified details

These details have not been verified by PyPI
Meta
  • Author: Christian Etmann
  • Tags python, neural network, segmentation, unet, u-net, invertible, medical imaging
Classifiers

Project description

A package which allows for training segmentation models in Pytorch for high-dimensional 3D data, using invertible U-Nets (iUNets).

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for cetmann from gravatar.com cetmann

Unverified details

These details have not been verified by PyPI
Meta
  • Author: Christian Etmann
  • Tags python, neural network, segmentation, unet, u-net, invertible, medical imaging
Classifiers

Release history Release notifications | RSS feed

This version

0.1

Download files

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

Source Distribution

iunets-0.1.tar.gz (19.2 kB view hashes)

Uploaded Source

Built Distribution

iunets-0.1-py3-none-any.whl (20.5 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