Style-Transfer-in-Text
transferlearning
| Style-Transfer-in-Text | transferlearning | |
|---|---|---|
| 3 | 1 | |
| 1,580 | 12,880 | |
| - | - | |
| 1.2 | 7.8 | |
| about 1 year ago | 16 days ago | |
| Python | ||
| - | MIT License |
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Style-Transfer-in-Text
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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.
transferlearning
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[D] Medium Article: Adaptive Learning for Time Series Forecasting
The src is available in https://github.com/jindongwang/transferlearning I'll also publish about how to code the model for time series
What are some alternatives?
gpt-2-simple - Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
zshot - Zero and Few shot named entity & relationships recognition
Speech-Separation-Paper-Tutorial - A must-read paper for speech separation based on neural networks
stackoverflow-better-stats - Better statistics about Stack Overflow's 2023 Developer Survey
Neural-Style-Transfer-Papers - :pencil2: Neural Style Transfer: A Review
PaddleHelix - Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
arpa
awesome-artificial-intelligence-research - A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.
awesome-refreshing-llms - EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining.
TS-TCC - [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
Transfer-Learning-Library - Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Efficient-VDVAE - Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"