Spark in me
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Lost like tears in rain. DS, ML, a bit of philosophy and math. No bs or ads.
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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