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        "author": "Daniel Muthukrishna",
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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering :: Astronomy"
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        "description": "# SNClassifying_Pre-alpha\nSupernovae classifying and redshifting software: development stage\n\n\n1. How to install:\n\n    Install tensorflow (https://www.tensorflow.org/versions/r0.11/get_started/os_setup.html#download-and-setup).\n    Run GUI/main.py\n    Once open, type in a known redshift\n    Browse for any single spectrum FITS, ASCII, dat, or two-column text file.\n    Click any of the best matches to view the continuum-subtracted binned spectra.\n    If the input spectrum is too noisy, increase the smoothing level, and click 'Re-fit with priors'\n\n\n2. Dependencies:\n    python2.7 (unconfirmed python3)\n    numpy\n    scipy\n    PyQt4\n    tensorflow\n\n3. How to raise issues:\n\n4. Examples\n\n5. API Usage\nNotes:\n    Current version requires an input redshift (inaccurate results if redshift is unknown)",
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        "keywords": "supernova spectral classification deep learning",
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        "name": "deepstars",
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        "summary": "Deep Learning for Spectral Typing and Redshifting of Supernovae",
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