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You are here		kvfrans.com Variational Autoencoders Explained
\|	\|	jxmo.io Introduction to variational autoencoders - Jack Morris	2.3 parsecs away Travel
\|	\|	A primer on variational autoencoders (VAEs) culminating in a PyTorch implementation of a VAE with discrete latents.	2.3 parsecs away Travel
\|	\|	ljvmiranda921.github.io The Illustrated VQGAN	2.3 parsecs away Travel
\|	\|	VQGAN allows us to generate high-resolution images from text, and has now taken art Twitter by storm. Let me talk about how it works on a conceptual level in...	2.3 parsecs away Travel
\|	\|	vxlabs.com Variational Autoencoder in PyTorch, commented and annotated. - vxlabs	1.9 parsecs away Travel
\|	\|	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.	1.9 parsecs away Travel
\|	\|	zserge.com AI or ain't: Neural Networks	9.1 parsecs away Travel
\|		Neural network and deep learning introduction for those who skipped the math class but wants to follow the trend	9.1 parsecs away Travel