unet

"pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.

https://github.com/fepegar/unet

Science Score: 59.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 7 DOI reference(s) in README
  • Academic publication links
    Links to: arxiv.org, zenodo.org
  • Committers with academic emails
    2 of 7 committers (28.6%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (6.0%) to scientific vocabulary

Keywords

convolutional-neural-networks deep-learning medical-imaging unet unet-image-segmentation unet-pytorch

Keywords from Contributors

interactive cryptocurrencies network-simulation hacking genomics embedded optim dynamics standardization projection
Last synced: 6 months ago · JSON representation

Repository

"pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.

Basic Info
  • Host: GitHub
  • Owner: fepegar
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 98.6 KB
Statistics
  • Stars: 172
  • Watchers: 3
  • Forks: 21
  • Open Issues: 1
  • Releases: 3
Topics
convolutional-neural-networks deep-learning medical-imaging unet unet-image-segmentation unet-pytorch
Created over 6 years ago · Last pushed about 1 year ago
Metadata Files
Readme Contributing License Zenodo

README.rst

U-Net
=====


.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3522306.svg
        :target: https://doi.org/10.5281/zenodo.3522306
        :alt: DOI

.. image:: https://img.shields.io/badge/License-MIT-yellow.svg
        :target: https://opensource.org/licenses/MIT
        :alt: License

.. image:: https://img.shields.io/pypi/v/unet.svg
        :target: https://pypi.python.org/pypi/unet


PyTorch implementation of 1D, 2D and 3D U-Net.

The U-Net architecture was first described in
`Ronneberger et al. 2015, U-Net: Convolutional Networks for Biomedical Image
Segmentation `_.
The 3D version was described in
`Çiçek et al. 2016, 3D U-Net: Learning Dense Volumetric Segmentation from
Sparse Annotation `_.


Installation
------------

::

   pip install unet


Credits
-------

If you used this code for your research, please cite this repository using the
information available on its
`Zenodo entry `_:

    Pérez-García, Fernando. (2020). fepegar/unet: PyTorch implementation of 2D and 3D U-Net (v0.7.5). Zenodo. https://doi.org/10.5281/zenodo.3697931

Owner

  • Name: Fernando Pérez-García
  • Login: fepegar
  • Kind: user
  • Location: London, United Kingdom
  • Company: @microsoft @UCL @KCL-BMEIS

Senior research machine learning engineer at Microsoft Research Cambridge. PhD student in Medical Imaging at UCL and King's College London.

GitHub Events

Total
  • Issues event: 3
  • Watch event: 26
  • Issue comment event: 2
  • Push event: 2
  • Create event: 2
Last Year
  • Issues event: 3
  • Watch event: 26
  • Issue comment event: 2
  • Push event: 2
  • Create event: 2

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 105
  • Total Committers: 7
  • Avg Commits per committer: 15.0
  • Development Distribution Score (DDS): 0.143
Past Year
  • Commits: 17
  • Committers: 1
  • Avg Commits per committer: 17.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Fernando Perez-Garcia f****7@u****k 90
pyup-bot g****t@p****o 8
dependabot[bot] 4****] 3
zhuoqun 1****q 1
jdollinger-bit 7****t 1
Andrey Pikunov p****w@g****m 1
fernando f****o@s****k 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 15
  • Total pull requests: 28
  • Average time to close issues: 9 months
  • Average time to close pull requests: 21 days
  • Total issue authors: 14
  • Total pull request authors: 5
  • Average comments per issue: 1.13
  • Average comments per pull request: 0.54
  • Merged pull requests: 14
  • Bot issues: 0
  • Bot pull requests: 3
Past Year
  • Issues: 2
  • Pull requests: 0
  • Average time to close issues: about 10 hours
  • Average time to close pull requests: N/A
  • Issue authors: 2
  • Pull request authors: 0
  • Average comments per issue: 1.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • pritesh-mehta (2)
  • kissievendor (1)
  • kuangdai (1)
  • jdollinger-bit (1)
  • jakemanger (1)
  • victoryc (1)
  • fepegar (1)
  • dvolgyes (1)
  • kristiantorres (1)
  • GFabien (1)
  • pyup-bot (1)
  • 6ramr (1)
  • prhbrt (1)
  • yonikl (1)
Pull Request Authors
  • pyup-bot (22)
  • lizhuoq (2)
  • dependabot[bot] (2)
  • AndreyPikunov (1)
  • jdollinger-bit (1)
Top Labels
Issue Labels
Pull Request Labels
dependencies (2)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 2,988 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 6
  • Total versions: 20
  • Total maintainers: 1
pypi.org: unet

PyTorch implementation of 1D, 2D and 3D U-Net.

  • Versions: 20
  • Dependent Packages: 0
  • Dependent Repositories: 6
  • Downloads: 2,988 Last month
Rankings
Dependent repos count: 6.0%
Stargazers count: 6.4%
Downloads: 6.7%
Average: 7.5%
Forks count: 8.2%
Dependent packages count: 10.1%
Maintainers (1)
Last synced: 7 months ago

Dependencies

requirements_dev.txt pypi
  • Click ==7.0 development
  • Sphinx ==2.3.1 development
  • bump2version ==0.5.11 development
  • coverage ==5.0.3 development
  • flake8 ==3.7.9 development
  • pip ==21.1 development
  • tox ==3.14.3 development
  • twine ==3.1.1 development
  • watchdog ==0.9.0 development
  • wheel ==0.33.6 development