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    "info": {
        "author": "Gevorg Soghomonyan",
        "author_email": "sgevorg@aimhub.io",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: Implementation :: CPython",
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        "description": "\n# Aim\n\nAim is an AI deployment and version control system.\nIt can handle both small and large projects through their whole life cycle with efficiency and speed.\nIt is built to seamlessly blend in with existing ML stack and become an integral part of the development lifecycle.\n\n## Aim CLI\nAim CLI is a command line tool for building end-to-end AI.\nAim is built to be:\ncompatible with the existing ecosystem of tools\nbe familiar\njust work\nmake building AI productive\n\nAim has three main features: tracking of training, export and deploy.\n\n### Tracking - ML Training\nCommand: `aim train`\nAim train runs training for the given aim repository. Aim train tracks the gradients and updates in the model with given interval and saves them for visualization and analysis.\nAim Train is paired with UI that visualizes the artifacts tracked.\nAim Tracking is used to debug and have a detailed understanding of the process of training.\n\n### Export - ML Model\nCommand: `aim export`\nAim export creates the saved model checkpoint file and exports .aim model which could be committed and pushed to the Aimhub and/or deployed to different platforms.\nExported .aim model could also be converted to .onnx, .tf and other checkpoints for other frameworks.\nAim CLI Export is based on aim Intermediate Representation that allows for automatic deployment of the model.\nAim Export can also export pre-processing steps similarly to the model and could be included in the model deployment process.\n\n### Deploy - Aim Model\nCommand: `aim deploy`\nAim Deploy produces a deployable artifact from .aim (model and preprocessing) files. The produced artifacts can run in cloud, on different hardware and as a hybrid.\nDeployments are also reflected on Aimhub to track and version the deployed artifacts.\n\n\n### Other Commands\n\n```shell\naim fork\naim branch off\naim pause, continue\naim convert\n```\n\n\n\n\n",
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        "license": "MIT",
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        "name": "aimcli",
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        "summary": "AI Deployment tool",
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