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PyTorch implementations of simple GANs for lightweight generative modeling of input distributions.

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SimpleGANs

GAN : Generative Adversarial Networks

PyTorch implementations of simple GANS including:

  • Gaussian Distribtion based GAN
  • Pokemon GAN (PokeGAN)

Pokemon GAN

This is based on a DCGAN (Deep Convolutional GAN) to generate photorealistic images of novel pokemons from our training dataset [2].

![image]("D:\Documents\CMU_SUBJECTS\Deep Learning\Generative_Modelling\SimpleGAN\PokeGAN\input_img.png")

[2] https://pokemondb.net/sprites

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PyTorch implementations of simple GANs for lightweight generative modeling of input distributions.

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