This repository collects academic papers, textbooks, software libraries, and educational materials on the intersection of mathematics and deep learning. It covers topics including differential geometry, group theory, Lie groups, topology, and symmetry as applied to understanding neural network representations and equivariance. The list is organized by subject area with sections for educational resources, datasets, software libraries, and relevant conferences and workshops.