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Author:
Rogério A. Gouvêa
License:
MIT License
Summary:
A package that uses pretrained graph-neural network models and symbolic regression formulas on material descriptors as featurizers for interpretable predictions in materials science.
Latest version:
0.1.5
Required dependencies:
contextlib2
|
h5py
|
keras
|
megnet
|
numpy
|
pandas
|
pickle-mixin
|
pymatgen
|
requests
|
scikit-learn
|
tensorflow
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