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        "author": "Marcel Rieger",
        "author_email": "marcel.rieger@cern.ch",
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            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
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        "description": "# Lorentz Boost Network (LBN) [![pipeline status](https://git.rwth-aachen.de/3pia/lbn/badges/master/pipeline.svg)](https://git.rwth-aachen.de/3pia/lbn/pipelines)\n\nTensorFlow implementation of the Lorentz Boost Network from [arXiv:1812.09722 [hep-ex]](https://arxiv.org/abs/1812.09722).\n\nOriginal repository: [git.rwth-aachen.de/3pia/lbn](https://git.rwth-aachen.de/3pia/lbn)\n\n\n### Usage example\n\n```python\nfrom lbn import LBN\n\n# initialize the LBN, set 10 combinations and pairwise boosting\nlbn = LBN(10, boost_mode=LBN.PAIRS)\n\n# create a feature tensor based on input four-vectors\nfeatures = lbn(four_vectors)\n\n# use the features as input for a subsequent, application-specific network\n...\n```\n\n\n### Installation and dependencies\n\nVia [pip](https://pypi.python.org/pypi/lbn):\n\n```bash\npip install lbn\n```\n\nNumPy and TensorFlow are the only dependencies.\n\n\n### Testing\n\nTests should be run for Python 2 and 3. The following commands assume you are root directory of the LBN respository:\n\n```bash\npython -m unittest test\n\n# or via docker, python 2\ndocker run --rm -v `pwd`:/root/lbn -w /root/lbn tensorflow/tensorflow:latest python -m unittest test\n\n# or via docker, python 3\ndocker run --rm -v `pwd`:/root/lbn -w /root/lbn tensorflow/tensorflow:latest-py3 python -m unittest test\n```\n\n\n### Contributing\n\nIf you like to contribute, we are happy to receive pull requests. Just make sure to add new test cases and run the tests. Also, please use a coding style that is compatible with our `.flake8` config.\n\n\n### Development\n\n- Original source hosted at [RWTH GitLab](https://git.rwth-aachen.de/3pia/lbn)\n- Report issues, questions, feature requests on [RWTH GitLab Issues](https://git.rwth-aachen.de/3pia/lbn/issues)",
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        "keywords": "neural network,lorentz,lorentz transformation,lorentz boost,autonomous,feature,feature engineering,autonomous engineering,hep,four momenta,four vectors",
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