Style-Transfer-in-Text vs Neural-Style-Transfer-Papers

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Style-Transfer-in-Text		Neural-Style-Transfer-Papers
	Project
3	Mentions	1
1,580	Stars	1,616
-	Growth	-
1.2	Activity	0.0
about 1 year ago	Latest Commit	about 2 years ago
	Language
-	License	-

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.

Style-Transfer-in-Text

Posts with mentions or reviews of Style-Transfer-in-Text. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-01.

Suggestions on Cool NLP Projects!
1 project | /r/LanguageTechnology | 3 Oct 2021

I've been working on a way to train GPT-2 with HuggingFace Transformers (using aitextgen) to write short stories trained on public domain authors! I've been planning to look through these style transfer resources if you're interested.
Training GPT-2 with HuggingFace Transformers to sound like a certain author
2 projects | /r/LanguageTechnology | 1 Oct 2021

Check out the "Stylistic Related Papers" and especially the "Controlled Text Generation" sections of this Github papers list -- sounds like a similar problem to what you're thinking of.
Something like style transfer for language processing?
1 project | /r/LanguageTechnology | 5 May 2021

There's been quite a bit of work on extending the same concept to text, with "style" often being used to refer to aspects like sentiment/aspect. https://github.com/fuzhenxin/Style-Transfer-in-Text is a good collection of recent work in NLP in this area. Specifically for authorial style, I'm aware of this recent one. Also relevant might be earlier work on author obfuscation and imitation.

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.

[R] CtrlGen Workshop at NeurIPS 2021 (Controllable Generative Modeling in Language and Vision)
3 projects | /r/MachineLearning | 30 Aug 2021

Style-sensitive generation or style transfer (for text and vision)

What are some alternatives?

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

gpt-2-simple - Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

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

Speech-Separation-Paper-Tutorial - A must-read paper for speech separation based on neural networks

review-tuxedo-pulse-15-gen1 - A review of the Tuxedo Pulse 15 (Gen 1).

arpa

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

awesome-refreshing-llms - EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining.

Hyperion - In-app design review tool to inspect measurements, attributes, and animations.

scpn - syntactically controlled paraphrase networks

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

Text_Style_Transfer_Survey - This repo collects the articles for text attribute transfer