Style-Transfer-in-Text
Paper List for Style Transfer in Text (by fuzhenxin)
Speech-Separation-Paper-Tutorial
A must-read paper for speech separation based on neural networks (by JusperLee)
| Style-Transfer-in-Text | Speech-Separation-Paper-Tutorial | |
|---|---|---|
| 3 | 1 | |
| 1,580 | 699 | |
| - | - | |
| 1.2 | 2.6 | |
| about 1 year ago | about 2 years ago | |
| - | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.
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Suggestions on Cool NLP Projects!
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.
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Training GPT-2 with HuggingFace Transformers to sound like a certain author
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.
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Something like style transfer for language processing?
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.
Speech-Separation-Paper-Tutorial
Posts with mentions or reviews of Speech-Separation-Paper-Tutorial.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Streaming device uses sensor to count people in the room for pay-per-person content viewing. Not terrifying at all.
They can also count distinct people in the room through audio, through Speech Separation Algorithms.
What are some alternatives?
When comparing Style-Transfer-in-Text and Speech-Separation-Paper-Tutorial 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
espnet - End-to-End Speech Processing Toolkit
Neural-Style-Transfer-Papers - :pencil2: Neural Style Transfer: A Review
asteroid - The PyTorch-based audio source separation toolkit for researchers
arpa
speechbrain - A PyTorch-based Speech Toolkit
awesome-refreshing-llms - EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining.
Style-Transfer-in-Text vs gpt-2-simple
Speech-Separation-Paper-Tutorial vs espnet
Style-Transfer-in-Text vs Neural-Style-Transfer-Papers
Speech-Separation-Paper-Tutorial vs asteroid
Style-Transfer-in-Text vs arpa
Speech-Separation-Paper-Tutorial vs speechbrain
Style-Transfer-in-Text vs awesome-refreshing-llms