learning/annotated_deep_learning_paper_implementations
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Varuna Jayasiri
2021-01-23 16:28:50 +05:30
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labml_nn/gan/cycle_gan.py
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@ -11,7 +11,7 @@ summary: >
This is an implementation of paper
[Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks](https://arxiv.org/abs/1703.10593).
I've taken pieces of code from [https://github.com/eriklindernoren/PyTorch-GAN](https://github.com/eriklindernoren/PyTorch-GAN).
I've taken pieces of code from [eriklindernoren/PyTorch-GAN](https://github.com/eriklindernoren/PyTorch-GAN).
It is a very good resource if you want to checkout other GAN variations too.
Cycle GAN does image-to-image translation.