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[P] Generative Modelling by Estimating Gradients – in 150 lines with JAX

This tutorial that implements the math behind the Generative Modelling by Estimating Gradients of the Data Distribution.

Get the tutorial: view on github or run in Google Colab

In short, they train a neural network to estimate gradients of image probability and iteratively follow these gradients to improve the image.

submitted by /u/justheuristic
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