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SimpleGAN is a framework based on TensorFlow to make the training of generative models easier. SimpleGAN provides high-level APIs with customizability options to the user which allows them to train a generative model with minimal lines of code. Supported Models: - Vanilla Autoencoder - Convolutional Autoencoder - Variational Autoencoder - Vector Quantized - Variational Autoencoder - Vanilla GAN - DCGAN - WGAN - CGAN - InfoGAN - Pix2Pix - CycleGAN - 3DGAN(VoxelGAN)

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Blog: https://medium.com/@grohith327 LinkedIn: www.linkedin.com/in/grohith327.
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