Rem3Di (remedi)
Copyright 2026 The Rem3Di Authors

This product includes software developed for the paper:
  "Rem3Di: Learning smooth, chiral 3D molecular descriptors from atomistic
   foundation models", NeurIPS 2025 Workshop on Symmetry and Geometry in
   Neural Representations.

Origin and attribution:
  Source        https://github.com/molsuit/Rem3Di
  Documentation https://molsuit.github.io/Rem3Di/
  Paper         https://openreview.net/forum?id=jOmZsvXoK5

If you use this software in academic or derivative work, please retain this
notice and cite the paper above.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use
these files except in compliance with the License. See the LICENSE file for the
full terms.
