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Add GAN Example for Mixture of Gaussians in 2D #87
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Description
This notebook implements a GAN from scratch to fit a dataset from a 2D mixture of Gaussians.
The code was adapted from the ODEGAN code here.
Colab link
Link to Colab Notebook
Issue
probml/pyprobml#691
Figures
Link to Gist
Checklist:
Comments
Plotting the generated examples takes more time than training the model because
jax.scipy
does not have an implementation forscipy.stats.gaussian_kde
. Therefore, Gaussian kernel density estimation for plotting has to be done usingscipy
.The JAX repository currently has an open issue for this: jax-ml/jax#8954.