Style-Transfer-in-Text vs arpa

Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

www.influxdata.com

featured

SaaSHub - Software Alternatives and Reviews

SaaSHub helps you find the best software and product alternatives

www.saashub.com

featured

Style-Transfer-in-Text		arpa
	Project
3	Mentions	-
1,580	Stars	-
-	Growth	-
1.2	Activity	-
about 1 year ago	Latest Commit	-
	Language
-	License	BSD 3-clause "New" or "Revised" 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.

arpa

Posts with mentions or reviews of arpa. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning arpa yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Style-Transfer-in-Text and arpa 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

crf-chain2-tiers - Second-order, tiered, constrained, linear conditional random fields

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

PTQ - An implementation of Montague's PTQ (Proper Treatment of Quantification).

Neural-Style-Transfer-Papers - :pencil2: Neural Style Transfer: A Review

minimorph - English spelling functions with an emphasis on simplicity. Originally by https://github.com/kowey.

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

haskell-postal - Haskell binding for the libpostal library

phonetic-code - phonetic codes in Haskell

chatter - A library of Natural Language Processing algorithms for Haskell.

nerf - Named entity recognition tool based on linear-chain CRFs

corenlp-parser - Launches CoreNLP and parses the JSON output