[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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