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You are here		www.nicktasios.nl Latent Diffusion Series: Variational Autoencoder (VAE) \| NICK TASIOS
\|	\|	jxmo.io Introduction to variational autoencoders - Jack Morris	0.6 parsecs away Travel
\|	\|	A primer on variational autoencoders (VAEs) culminating in a PyTorch implementation of a VAE with discrete latents.	0.6 parsecs away Travel
\|	\|	vxlabs.com Variational Autoencoder in PyTorch, commented and annotated. - vxlabs	1.2 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.	1.2 parsecs away Travel
\|	\|	magenta.withgoogle.com MusicVAE: Creating a palette for musical scores with machine learning.	4.2 parsecs away Travel
\|	\|	When a painter creates a work of art, she first blends and explores color options on an artist's palette before applying them to the canvas. This process is ...	4.2 parsecs away Travel
\|	\|	aarol.dev Running Stable Diffusion locally on Windows - aarol.dev	18.9 parsecs away Travel
\|		ATTENTION: there are now several forks of SD that offer web GUI's and can install on Windows in one click (most notably sd-webgui). If you want to run ...	18.9 parsecs away Travel