MinervaChem LAMEL

LAMEL is an optional meta-learning add-on for MinervaChem.

Install published releases with:

pip install "minervachem[lamel]"

For development from the MinervaChem monorepo, use:

uv sync --extra lamel

Import its public API separately from the core package:

from lamel import MetaLearner

Citation

If you use LAMeL in your work, please cite our paper.

@article{pimonova2025metalearning,
  title={Meta-Learning Linear Models for Molecular Property Prediction},
  author={Pimonova, Yulia and Taylor, Michael G and Allen, Alice and Yang, Ping and Lubbers, Nicholas},
  journal={arXiv preprint arXiv:2509.13527},
  url={https://arxiv.org/abs/2509.13527},
  year={2025}
}

Copyright and licensing

minervachem is released under the BSD-3 License. See LICENSE.txt for the full license.

The copyright to minervachem is owned by Triad National Security, LLC and is released for open source use as project number O04631.

© 2023. Triad National Security, LLC. All rights reserved. This program was produced under U.S. Government contract 89233218CNA000001 for Los Alamos National Laboratory (LANL), which is operated by Triad National Security, LLC for the U.S. Department of Energy/National Nuclear Security Administration. All rights in the program are. reserved by Triad National Security, LLC, and the U.S. Department of Energy/National Nuclear Security Administration. The Government is granted for itself and others acting on its behalf a nonexclusive, paid-up, irrevocable worldwide license in this material to reproduce, prepare. derivative works, distribute copies to the public, perform publicly and display publicly, and to permit. others to do so.