Metadata-Version: 2.1
Name: pidgan
Version: 0.0.0
Summary: GAN-based models to fast-simulate the LHCb PID detectors
Author-email: Matteo Barbetti <matteo.barbetti@fi.infn.it>, Lucio Anderlini <lucio.anderlini@fi.infn.it>
License: GPLv3 License
Project-URL: repository, https://github.com/mbarbetti/pidgan
Keywords: tensorflow,machine learning,deep learning,generative adversarial nets,lhcb experiment,lamarr,ultra-fast simulation,particle identification
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: <=3.10,>=3.7
Description-Content-Type: text/markdown
Provides-Extra: standard
Provides-Extra: advanced
Provides-Extra: style
Provides-Extra: tests
License-File: LICENSE

# pidgan
GAN-based models to fast-simulate the LHCb PID detectors
