Skip to main content

Python module for training unsupervised deep, generative models on images.

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).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fauxtograph-1.0.1.tar.gz (14.8 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page