/explore
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randorithms.com | ||
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jxmo.io
A primer on variational autoencoders (VAEs) culminating in a PyTorch implementation of a VAE with discrete latents. |
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cgad.ski
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erikbern.com
This is a blog post rewritten from a presentation at NYC Machine Learning last week. It covers a library called Annoy that I have built that helps you do (approximate) nearest neighbor queries in high dimensional spaces. |
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sander.ai
Perspectives on diffusion, or how diffusion models are autoencoders, deep latent variable models, score function predictors, reverse SDE solvers, flow-based models, RNNs, and autoregressive models, all at once! |
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