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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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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.