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grainlearning


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Author: Hongyang Cheng
License: GPLv2
Summary: A Bayesian uncertainty quantification toolbox for discrete and continuum numerical models of granular materials
Latest version: 2.0.5
Required dependencies: matplotlib | numpy | scikit-learn | scipy
Optional dependencies: h5py | ipykernel | prospector | pyroma | pytest | pytest-cov | seaborn | sphinx | sphinx-autodoc-typehints | sphinx-mdinclude | sphinx-rtd-theme | tensorflow | wandb

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