Submitting Author: Philip Meier (@pmeier)
All current maintainers: Philip Meier (@pmeier)
Package Name: pystiche
One-Line Description of Package: Framework for Neural Style Transfer (NST) built upon PyTorch
Repository Link: https://github.com/pystiche/pystiche
Version submitted: 0.5.0post0
Editor: @NickleDave
Reviewer 1: @edgarriba
Reviewer 2: @soumith
Archive:
JOSS DOI:
Version accepted: v 0.6.0
Date accepted (month/day/year): 10/08/2020

Description

pystiche is a framework for Neural Style Transfer (NST) algorithms based on PyTorch. NST is a neural-net-based technique to merge the content of one and the artistic style of another image. Similar to deep learning frameworks pystiche eases up the workflow for researchers in this field. Rather than implementing everything yourself, pystiche provides common building blocks of NST algorithms that can be conveniently combined. Thus, researchers can focus on implementing new ideas rather than implementing the periphery over and over again.

Scope

• Please indicate which category or categories this package falls under:

  • Data retrieval
  • Data extraction
  • Data munging
  • Data deposition
  • Reproducibility
  • Geospatial
  • Education
  • Data visualization*

• Explain how the and why the package falls under these categories (briefly, 1-2 sentences):

  pystiche can be used to reproduce NST papers while focusing on core aspects.

• Who is the target audience and what are scientific applications of this package?

  The primary intended audience are researchers as described above. Apart from them pystiche could also be interesting for recreational use by non-scientists.

• Are there other Python packages that accomplish the same thing? If so, how does yours differ?

  AFAIK there are no other packages provide a similar functionality. However, due to its popularity, there are many implementations, which are limited to a specific NST algorithm. An exception might be this which features the implementation of multiple papers.

• If you made a pre-submission enquiry, please paste the link to the corresponding issue, forum post, or other discussion, or @tag the editor you contacted:

  Presubmission Inquiry: pystiche #21

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• contains a README with instructions for installing the development version.
• includes documentation with examples for all functions.
• contains a vignette with examples of its essential functions and uses.
• has a test suite.
• has continuous integration, such as Travis CI, AppVeyor, CircleCI, and/or others.

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