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Computer Vision: Deep Generative Models

Implemented various generative deep learning models such as Convolutional AutoEncoder, Convolutional Variational AutoEncoder to reconstruct images, and GAN & a LS-GAN to construct new instances of images from images of shoes in the UT Zappos 50k dataset.

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A jupyter notebook demonstrating the implementation of deep generative image models: VAE, DC_GAN, and LS-GAN

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