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        "author": "Sean Robertson",
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        "classifiers": [
            "Development Status :: 3 - Alpha",
            "License :: OSI Approved :: Apache Software License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
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        "description": "[![Build Status](https://travis-ci.com/sdrobert/pydrobert-pytorch.svg?branch=master)](https://travis-ci.com/sdrobert/pydrobert-pytorch)\n[![Documentation Status](https://readthedocs.org/projects/pydrobert-pytorch/badge/?version=latest)](https://pydrobert-pytorch.readthedocs.io/en/latest/?badge=latest)\n[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)\n\n# pydrobert-pytorch\n\nPyTorch utilities for Machine Learning. This is an eclectic mix of utilities\nthat I've used in my various projects. There is a definite leaning towards\nspeech, specifically end-to-end ASR. The primary benefit `pydrobert-pytorch`\nhas over other packages is modularity: you can pick and choose the\nfunctionality you desire without subscribing to an entire ecosystem. You can\nfind out more about what the package offers in the documentation links below.\n\n**This is student-driven code, so don't expect a stable API. I'll try to use\nsemantic versioning, but the best way to keep functionality stable is by\npinning the version in the requirements or by forking.**\n\n## Documentation\n\n- [Latest](https://pydrobert-pytorch.readthedocs.io/en/latest/)\n- [Stable](https://pydrobert-pytorch.readthedocs.io/en/stable/)\n\n## Installation\n\n`pydrobert-pytorch` is available through both Conda and PyPI.\n\n``` bash\nconda install -c sdrobert pydrobert-pytorch\npip install pydrobert-pytorch\n```\n\n## Licensing and How to Cite\n\nPlease see the [pydrobert page](https://github.com/sdrobert/pydrobert) for more\ndetails.\n\n\n",
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