E3nn: Euclidean neural networks

University Of California, | 2020

Mario Geiger; Tess Smidt; Alby M. ; Benjamin Kurt Miller; Wouter Boomsma; Bradley Dice;

Description:

The aim of this library is to help the developement of E(3) equivariant neural networks. It contains fundamental mathematical operations such as tensor products and spherical harmonics.

Citation:

@software{e3nn, author = {Mario Geiger and Tess Smidt and Alby M. and Benjamin Kurt Miller and Wouter Boomsma and Bradley Dice and Kostiantyn Lapchevskyi and Maurice Weiler and Michał Tyszkiewicz and Simon Batzner and Martin Uhrin and Jes Frellsen and Nuri Jung and Sophia Sanborn and Josh Rackers and Michael Bailey}, title = {Euclidean neural networks: e3nn}, year = 2020, publisher = {Zenodo}, version = {0.4.0}, doi = {10.5281/zenodo.5292912}, url = {https://doi.org/10.5281/zenodo.5292912} }

Keywords:

Euclidean neural networks,

Curator: laiwei.cool@gmail.com