Neural-Style-Transfer-Papers VS Text_Style_Transfer_Survey

Compare Neural-Style-Transfer-Papers vs Text_Style_Transfer_Survey and see what are their differences.

Text_Style_Transfer_Survey

This repo collects the articles for text attribute transfer (by zhijing-jin)
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Neural-Style-Transfer-Papers Text_Style_Transfer_Survey
1 1
1,629 245
0.0% 0.0%
0.0 0.0
about 3 years ago over 3 years ago
Python
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Neural-Style-Transfer-Papers

Posts with mentions or reviews of Neural-Style-Transfer-Papers. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-30.

Text_Style_Transfer_Survey

Posts with mentions or reviews of Text_Style_Transfer_Survey. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-30.

What are some alternatives?

When comparing Neural-Style-Transfer-Papers and Text_Style_Transfer_Survey you can also consider the following projects:

Faces2Anime - Faces2Anime: Cartoon Style Transfer in Faces using Generative Adversarial Networks. Masters Thesis 2021 @ NTUST.

scpn - syntactically controlled paraphrase networks

git-quick-stats - ▁▅▆▃▅ Git quick statistics is a simple and efficient way to access various statistics in git repository.

Frustration-One-Year-With-R - An extremely long review of R.

Style-Transfer-in-Text - Paper List for Style Transfer in Text

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CodeRabbit: AI Code Reviews for Developers
Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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