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Generative Neural Networks

A bunch of experiments that I did on different Deep Generative Neural Networks using Keras and Tensorflow. All the files are in a ready-to-run format. I included the weight files for quick testing.

I did not did not do much finetuning and the codes are written in a slapdash fashion. But I think most of the codes are quite self-explanatory. I only tried to test the basic ideas in a simplistic manner; good results were not my priority.

Conditional WGAN-GP

Fisher-GAN

Pixel-CNN

Variational Autoencoder

Adversarial Autoencoder

Autoregressive Generation using LSTM