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Latent Diffusion Series: Variational Autoencoder (VAE) | NICK TASIOS
| | vxlabs.com
Variational Autoencoder in PyTorch, commented and annotated. - vxlabs
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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.
| | ijdykeman.github.io
Conditional Variational Autoencoders
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| | jxmo.io
Introduction to variational autoencoders - Jack Morris
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| | A primer on variational autoencoders (VAEs) culminating in a PyTorch implementation of a VAE with discrete latents.
| | scottaaronson.blog
Shtetl-Optimized » Blog Archive » Oh right, quantum computing
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| These days, I often need to remind myself that, as an undergrad, grad student, postdoc, or professor, I've now been doing quantum computing research for a quarter-century---i.e., well over half of the subject's existence. As a direct result, when I feel completely jaded about a new development in QC, it might actually be exciting. When...