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neural-style-transfer

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Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
  • Updated Apr 24, 2022
  • Jupyter Notebook
pmeier
pmeier commented Aug 20, 2021

A long long time ago, I was fed up that PyTorch didn't provide an solution for testing two tensors for approximate equality. To overcome this I started pytorch_testing_utils, which is still used in our test suite:

https://github.com/pystiche/pystiche/blob/74d7bc51b73e33c98135ee8bd721a34bc8c6137f/tox.ini#L19-L20

Since torch==1.9.0 we have

enhancement Good first issue
pytorch-neural-style-transfer

Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.
  • Updated Jan 30, 2021
  • Python
pytorch-neural-style-transfer-johnson

Reconstruction of the fast neural style transfer (Johnson et al.). Some portions of the paper have been improved by the follow-up work like the instance normalization, etc. Checkout transformer_net.py's header for details.
  • Updated Dec 4, 2020
  • Python

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