Metadata-Version: 2.1
Name: pysiml
Version: 0.2.8.dev202302211442
Summary: SiML - a Simulation ML library
Home-page: https://github.com/ricosjp/pysiml
License: Apache-2.0
Author: RICOS Co. Ltd.
Requires-Python: >=3.9,<3.10
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Provides-Extra: PyQt5
Provides-Extra: cupy
Requires-Dist: PyQt5 (>=5.14.0,<6.0.0); extra == "PyQt5"
Requires-Dist: PyYAML (>=5.2,<6.0)
Requires-Dist: einops (>=0.2,<0.3)
Requires-Dist: femio (>=0.3.1)
Requires-Dist: joblib (>=0.14.1,<0.15.0)
Requires-Dist: metis (>=0.2a5,<0.3)
Requires-Dist: optuna (>=1.3,<2.0)
Requires-Dist: pandas (>=1.0,<2.0)
Requires-Dist: pycryptodomex (>=3.9.0,<4.0.0)
Requires-Dist: pydot (>=1.4.1,<2.0.0)
Requires-Dist: pytorch-ignite (>=0.3,<0.4)
Requires-Dist: sqlalchemy (==1.3.13)
Requires-Dist: toml (>=0.10.2,<0.11.0)
Requires-Dist: torch (>=1.9.0,<2.0.0)
Project-URL: Documentation, https://ricosjp.github.io/pysiml/
Project-URL: Repository, https://github.com/ricosjp/pysiml
Description-Content-Type: text/markdown

![](sphinx/fig/siml_logo.svg)

# SiML: A Simulation ML library
SiML is a machine learning library focusing on geometrical and simulation data.
It facilitates machine learning processes, including preprocessing, learning,
and prediction.
In particular, SiML has handy functionalities to handle geometrical data,
which are in graph or point cloud formats in general.

# Documentation
https://ricosjp.github.io/siml

## License

[Apache License 2.0](./LICENSE).

