Stars
饕餮:A curated collection of resources for astrophysical research
Predict halo masses from simulations via graph neural networks
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
Minimal pytorch version of https://github.com/deepmind/deepmind-research/tree/master/learning_to_simulate
Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.
piXedfit is a Python package designed for analyzing spatially resolved SEDs of galaxies