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Project Description

Python module for training unsupervised deep, generative models on images. It uses Chainer for the Neural Network framework and implements several methods, including Variational Auto-encoders, Generative Adversarial Networks, and their combination. These methods are built with reference to personal notes and the following papers: 1) Diederik P Kingma, Max Welling; “Auto-Encoding Variational Bayes”; (2013). 2) Alec Radford et. al.; “Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks”; (2015). 3) Anders Boesen et. al.; “Autoencoding Beyond Pixels Using a Learned Similarity Metric”; (2015).

Release History

Release History

1.0.3

This version

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1.0.2

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1.0.1

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1.0.0

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0.2.0

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0.1.8

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0.1.7

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Download Files

Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
fauxtograph-1.0.3.tar.gz (14.8 kB) Copy SHA256 Checksum SHA256 Source Jan 25, 2016

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