Scalable, pythonic fitting for high energy physics

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License: BSD License (BSD 3-Clause)

Author: Jonas Eschle

Maintainer: zfit

Tags TensorFlow, model, fitting, scalable, HEP

Requires: Python >=3.6

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Project description

zfit

https://img.shields.io/pypi/v/zfit.svg https://img.shields.io/travis/zfit/zfit.svg Documentation Status https://coveralls.io/repos/github/zfit/zfit/badge.svg?branch=meta_changes CodeFactor

The zfit package provides scalable, pythonic fitting. It is currently in it’s beta stage: core parts are established, but it’s not feature complete. It can (and is) used in analysis.

Acknowledgements

zfit has been developed with support from the University of Zürich and the Swiss National Science Foundation (SNF) under contracts 168169 and 174182.

The authors would like to thank numerous invaluable inputs and inspiration from other packages and the HSF community.

History

0.3.0 (2019-03-20)

Beta stage and first pip release

0.0.1 (2018-03-22)

  • First creation of the package.

Project details

Verified details

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organization icon zfit

Unverified details

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License: BSD License (BSD 3-Clause)

Author: Jonas Eschle

Maintainer: zfit

Tags TensorFlow, model, fitting, scalable, HEP

Requires: Python >=3.6

Classifiers

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