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        "author": "Brandon Gillespie",
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        "description": "# Polyform\n\n<i>Proof of Concept</i>\n\nPolyforms are functions-as-a-service which include DataOps, specifically oriented\nfor running AI systems:\n\n- are designed for native AI functionality\n- have an explicit expectation of the shape of data sent to them\n- support different sub-forms for variant purposes (such as training, vs intersect)\n- support transformation of data in flight, as well as storing back to the data universe\n- come with the implicit security of the Data Multiverse\n\nData Expectations describe the shape of the data as needed, and draw it in on\ndemand.\n\nThis code is a combination of a very rough implementation (prototype)\nto prove the concept, combined with CI/CD automation for ease of use.\n\nIt is targeted towards the data science industry, enabling deep learning to be\nmore easily managed as production ready services.\n\n```bash\npip3 install 'git+ssh://git@github.com/srevenant/polyform.git@master#egg=polyform'\n```\n\nRun `poly` with no args for a breakdown of options\n\nTutorial coming soon",
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        "license": "None",
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        "name": "polyform",
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