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        "author": "Mukesh Mithrakumar",
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            "Intended Audience :: Developers",
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            "License :: OSI Approved :: Apache Software License",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Software Development :: Libraries",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "<p align=\"center\"><img width=\"90%\" src=\"https://raw.githubusercontent.com/mukeshmithrakumar/scientific/master/logo/tfs.png\" /></p>\n\n<h1 id=\"TensorflowScientific\" align=\"center\" >Tensorflow Scientific</h1>\n\n<p align=\"center\">\n    <a href=\"https://www.tensorflow.org/beta\">\n    <img src=\"https://img.shields.io/badge/Tensorflow-2.0-orange.svg\" alt=\"Tensorflow 2.0\">\n    </a>\n    <a href=\"https://travis-ci.com/mukeshmithrakumar/scientific.svg?branch=master\">\n    <img src=\"https://travis-ci.com/mukeshmithrakumar/scientific.svg?branch=master\" alt=\"Build Status\">\n    </a>\n    <a href=\"https://pypi.org/project/tensorflow-scientific/\">\n    <img src=\"https://badge.fury.io/py/tensorflow-scientific.svg\" alt=\"PyPI Status Badge\">\n    </a>\n    <a href=\"https://pypi.python.org/pypi/tensorflow-scientific/\">\n    <img src=\"https://img.shields.io/pypi/pyversions/tensorflow-scientific.svg\" alt=\"PyPI pyversions\">\n    </a>\n    <a href=\"https://www.codacy.com/app/mukesh_4/scientific?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=mukeshmithrakumar/scientific&amp;utm_campaign=Badge_Grade\"><img src=\"https://api.codacy.com/project/badge/Grade/eb5acb88325245e9b7265da0c4f11db8\"/>\n    </a>\n    <a href='https://coveralls.io/github/mukeshmithrakumar/scientific?branch=master'><img src='https://coveralls.io/repos/github/mukeshmithrakumar/scientific/badge.svg?branch=master' alt='Coverage Status'/>\n    </a>\n</p>\n\n\n<h2 align=\"center\">Introduction</h2>\n\nTensorFlow Scientific (TFS) is a Python library built on TensorFlow for scientific computing.\nTensorFlow Scientific contains modules for integration, ODE solvers and other tasks common in science and engineering.\n\n\n<h2 align=\"center\">Installation</h2>\n\n**WORK IN PROGRESS**\n\n\n<h2 align=\"center\">Subpackages</h2>\n<p align=\"right\"><a href=\"#TensorflowScientific\"><sup>\u00e2\u2013\u00b4 Back to top</sup></a></p>\n\n[tfs.integrate](tensorflow_scientific/integrate/README.md)\n\n- tfs.integrate.odeint\n- tfs.integrate.odeint_fixed\n\n[tfs.solvers](tensorflow_scientific/solvers/README.md)\n\n- Functionality:\n\n[tfs.quantum](tensorflow_scientific/quantum/README.md)\n\n- Functionality:\n\n\n\n<h2 align=\"center\">Examples</h2>\n<p align=\"right\"><a href=\"#TensorflowScientific\"><sup>\u00e2\u2013\u00b4 Back to top</sup></a></p>\n\n\n**WORK IN PROGRESS**\n\n\n\n<h2 align=\"center\">Upcoming Releases</h2>\n<p align=\"right\"><a href=\"#TensorflowScientific\"><sup>\u00e2\u2013\u00b4 Back to top</sup></a></p>\n\n\n:fire: 0.1.0 Developer Alpha\n\n- tfs.integrate\n\n:fire: 0.2.0 Developer Alpha\n\n- tfs.solvers\n\n:fire: 0.3.0 Developer Alpha\n\n- tfs.quantum\n\n\n\n<h2 align=\"center\">TO DO</h2>\n<p align=\"right\"><a href=\"#TensorflowScientific\"><sup>\u00e2\u2013\u00b4 Back to top</sup></a></p>\n\n- Pypi package badges\n- Official builds badges\n- Issue tracking badges\n- code quality badges\n- code coverage badges\n- Add development environment to contributing.md\n- Add code contributing to contributing.md\n- Add Contributor License Agreement to contributing.md\n- Add some examples\n\n\n\n<h2 align=\"center\">FAQ</h2>\n<p align=\"right\"><a href=\"#TensorflowScientific\"><sup>\u00e2\u2013\u00b4 Back to top</sup></a></p>\n\nQ1. How do I contribute?\n\nTF-Scientific is a community led open source project. As such, the project\ndepends on public contributions, bug-fixes, and documentation. Please\nsee [contribution guidelines](CONTRIBUTING.md) for a guide on how to\ncontribute. This project adheres to [TensorFlow's code of conduct](CODE_OF_CONDUCT.md).\nBy participating, you are expected to uphold this code.\n\n\n",
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