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Neural network layers and networks to study the topology of the universe. Based on graph convolutions and written in the jax environment

Python 100.00%
deep-learning flax graph-neural-networks healpy jax

cmb_topology_ml_jax's Introduction

CMB_Topology_ML_JAX

Neural network layers and networks to study the topology of the universe. Based on graph convolutions and written in the jax environment

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cmb_topology_ml_jax's Issues

differentiable supervoxels

Hello thank you for sharing your very interesting repository publically. I see You are using superpixels in your algorithms is generation of superpixels differentiable in your implementation? I mean given process array->supervoxel->loss you van run backpropagation from loss to array?

Thank you !

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