This is a blast from the past, I still remember the StyleGAN demos and how cool it was for its time. https://www.youtube.com/watch?v=Ps7bmdxy0Xc

        # shuffle the combined batch to prevent the model from learning order
        indices = torch.randperm(combined_images.size(0))
        combined_images = combined_images[indices]
        combined_labels = combined_labels[indices]
   

Are GANs useful for synthetic data generation for transformer based models?

Great writeup, thank you! Nicely done!

Cool

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