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 dustintran.com
Adversarial autoencoders | Dustin Tran
| | tiao.io
A Tutorial on Variational Autoencoders with a Concise Keras Implementation | Louis Tiao
3.1 parsecs away

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| | An in-depth practical guide to variational encoders from a probabilistic perspective.
| | jxmo.io
Introduction to variational autoencoders - Jack Morris
2.2 parsecs away

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| | A primer on variational autoencoders (VAEs) culminating in a PyTorch implementation of a VAE with discrete latents.
| | kvfrans.com
Variational Autoencoders Explained
2.6 parsecs away

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| | In my previous post about generative adversarial networks, I went over a simple method to training a network that could generate realistic-looking images. However, there were a couple of downsides to using a plain GAN. First, the images are generated off some arbitrary noise. If you wanted to generate a
| | vxlabs.com
Variational Autoencoder in PyTorch, commented and annotated. - vxlabs
4.4 parsecs away

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| I have recently become fascinated with (Variational) Autoencoders and with PyTorch. Kevin Frans has a beautiful blog post online explaining variational autoencoders, with examples in TensorFlow and, importantly, with cat pictures. Jaan Altosaar's blog post takes an even deeper look at VAEs from both the deep learning perspective and the perspective of graphical models. Both of these posts, as well as Diederik Kingma's original 2014 paper Auto-Encoding Variational Bayes, are more than worth your time.