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Latent Diffusion Series: Variational Autoencoder (VAE) | NICK TASIOS
| | vxlabs.com
Variational Autoencoder in PyTorch, commented and annotated. - vxlabs
1.2 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.
| | ijdykeman.github.io
Conditional Variational Autoencoders
1.4 parsecs away

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| | tiao.io
A Tutorial on Variational Autoencoders with a Concise Keras Implementation | Louis Tiao
0.3 parsecs away

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| | An in-depth practical guide to variational encoders from a probabilistic perspective.
| | andrevala.com
TWIL: September 10, 2023 - André Vala
12.6 parsecs away

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| This week I was mostly focused on Microsoft Fabric, but I also read interesting articles on Computer Vision, Azure AI Document Intelligence, Embeddings and Vector Search. I'm also recommending a few GitHub repos around AI topics, two papers related to Large Language Models and more. Happy learning!