Even though I am preparing a large release on GAN application on real example, I just could not help sharing these 2 links.
They are just an absolute of perfection for GANs on PyTroch
- https://github.com/martinarjovsky/WassersteinGAN
- https://github.com/soumith/ganhacks
Also this is the most idiomatic PyTorch code (Imagenet finetuning) code I have ever seen
- https://gist.github.com/panovr/2977d9f26866b05583b0c40d88a315bf
So if you are new to PyTorch, then these links will be very useful)
#pytorch
#deep_learning
#gans
They are just an absolute of perfection for GANs on PyTroch
- https://github.com/martinarjovsky/WassersteinGAN
- https://github.com/soumith/ganhacks
Also this is the most idiomatic PyTorch code (Imagenet finetuning) code I have ever seen
- https://gist.github.com/panovr/2977d9f26866b05583b0c40d88a315bf
So if you are new to PyTorch, then these links will be very useful)
#pytorch
#deep_learning
#gans
GitHub
GitHub - martinarjovsky/WassersteinGAN
Contribute to martinarjovsky/WassersteinGAN development by creating an account on GitHub.