LICENSES_THIRD_PARTY

MolPROP uses third-party libraries which may be distributed under different 
licenses. We have attempted to list all of these third party libraries and 
their licenses below. 

You must agree to the terms of these licenses, in addition to the DSpace 
source code license, in order to use this software.

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Third party python libraries listed by License type
[Format: Name (scripts/package) - URL]
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MIT-0 License (http://opensource.org/licenses/MIT)
    * DeepChem (split) - https://github.com/deepchem/deepchem/blob/master/LICENSE
    * ChemBERTa-2 (MolPROP) - https://huggingface.co/DeepChem 
    * torch_geometric (MolPROP) - https://github.com/pyg-team/pytorch_geometric/blob/master/LICENSE 

Apache Software License, Version 2.0 (http://opensource.org/licenses/apache2.0)
    * BERT langauge model architecture (MolPROP) - https://github.com/google-research/bert
    * kornia (MolPROP) - https://github.com/kornia/kornia/blob/master/LICENSE
    * ray (train_tune) - https://github.com/ray-project/ray/blob/master/LICENSE
    * tensorboard (train_tune) - https://github.com/tensorflow/tensorboard/blob/master/LICENSE

GNU GPL 3 (https://www.gnu.org/licenses/gpl.txt)
    * RoBERTa (MolPROP) - https://github.com/dreamer/roberta/blob/master/LICENSE

BSD License (http://www.opensource.org/licenses/bsd-license.php)
    * RDKit (MolPROP) - https://github.com/rdkit/rdkit/blob/master/license.txt
    * Biopython (MolPROP) - https://github.com/biopython/biopython/blob/master/LICENSE.rst
    * Pytorch (DataLoader) - https://github.com/intel/torch/blob/master/LICENSE.md
    * Sci-kit learn (MolPROP) - https://github.com/scikit-learn/scikit-learn/blob/main/COPYING
    * numpy (MolPROP) - https://github.com/numpy/numpy/blob/main/LICENSE.txt
    * pandas (split) - https://github.com/pandas-dev/pandas/blob/main/LICENSE

Creative Commons License (https://creativecommons.org/licenses/by/4.0/)
    * TR-MISR (MolPROP) - https://github.com/Suanmd/TR-MISR