Transformer-based model to fast-simulate the LHCb ECAL detector
Project description
Matteo Barbetti Lucio Anderlini Maintainer-email: matteo.barbetti@fi.infn.it lucio.anderlini@fi.infn.it Keywords: tensorflow,machine learning,deep learning,transformer,lhcb experiment,lamarr,ultra-fast simulation,calorimeter Classifier: Development Status :: 3 - Alpha Classifier: Intended Audience :: Science/Research Classifier: License :: OSI Approved :: MIT License Classifier: Operating System :: OS Independent Classifier: Programming Language :: Python :: 3 :: Only 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
# calotron
[](https://www.tensorflow.org/versions) [](https://pypi.python.org/pypi/calotron) [](https://pypi.python.org/pypi/calotron) [](https://pypi.python.org/pypi/calotron) [](https://pypi.python.org/pypi/calotron) [](https://github.com/mbarbetti/calotron/actions/workflows/tests.yml) [](https://codecov.io/gh/mbarbetti/calotron)
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