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Author:
None
Summary:
Data-driven materials discovery based on composition or structure.
Latest version:
2.2.9
Required dependencies:
chem_wasserstein
|
composition_based_feature_vector
|
crabnet
|
cython
|
dill
|
gridrdf
|
hdbscan
|
joblib
|
kaleido
|
m3gnet
|
matbench
|
matbench_genmetrics
|
matplotlib
|
megnet
|
numba
|
pandas
|
plotly
|
pqdm
|
scikit_learn
|
scipy
|
seaborn
|
torch
|
tqdm
|
umap-learn
Optional dependencies:
black
|
elm2d
|
m3gnet
|
matminer
|
myst-parser
|
nbformat
|
pre-commit
|
pytest
|
pytest-cov
|
sphinx
|
sphinx_copybutton
|
sphinx_rtd_theme
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