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GitHub / JKupoluyi / Style
This project explores multi-domain style transfer for nat-ural language processing, based on recent research for im-ages. The goal is to encode styled text content to an objec-tive latent distribution which can be decoded into differentstyles. To accomplish this we train LSTM-based autoen-coders for each domain; these are trained using a common discriminator to elicit a shared latent distribution.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JKupoluyi%2FStyle
Stars: 0
Forks: 0
Open Issues: 30
License: None
Language: Jupyter Notebook
Repo Size: 1.7 MB
Dependencies:
257
Created: over 4 years ago
Updated: over 4 years ago
Last pushed: over 1 year ago
Last synced: about 1 year ago
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Dependencies
requirements.txt
pypi
- Automat ==0.7.0
- Babel ==2.6.0
- Bottleneck ==1.2.1
- Cython ==0.28.5
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- ForceAtlas2 ==1.0
- GitPython ==3.0.5
- Jinja2 ==2.10
- Keras ==2.3.1
- Keras-Applications ==1.0.8
- Keras-Preprocessing ==1.1.0
- Logbook ==0.12.5
- Mako ==1.0.7
- Markdown ==3.1.1
- MarkupSafe ==1.0
- Pillow ==5.3.0
- PySocks ==1.6.8
- PyWavelets ==0.5.2
- PyYAML ==3.12
- Pygments ==2.2.0
- QtAwesome ==0.4.4
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- SQLAlchemy ==1.1.13
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