{
"info": {
"author": "Paperspace Co.",
"author_email": "info@paperspace.com",
"bugtrack_url": null,
"classifiers": [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: ISC License (ISCL)",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Topic :: Software Development :: Libraries"
],
"description": "\n\nGradient CLI\n=================\n\n\n[](https://pepy.tech/project/gradient)\n\n
\n\n**Get started:** [Create Account](https://console.paperspace.com/signup?gradient=true) \u2022 [Install CLI](https://docs.paperspace.com/gradient/cli/) \u2022 [Tutorials](https://docs.paperspace.com/gradient/tutorials/) \u2022 [Docs](https://docs.paperspace.com/gradient)\n\n**Resources:** [Website](https://gradient.run/) \u2022 [Blog](https://blog.paperspace.com/) \u2022 [Support](https://docs.paperspace.com/contact-support/) \u2022 [Contact Sales](https://paperspace.com/contact-sales)\n\n
\n\nGradient is an an end-to-end MLOps platform that enables individuals and organizations to quickly develop, train, and deploy Deep Learning models. The Gradient software stack runs on any infrastructure e.g. AWS, GCP, on-premise and low-cost [Paperspace GPUs](https://docs.paperspace.com/gradient/machines/). Leverage automatic versioning, distributed training, built-in graphs & metrics, hyperparameter search, GradientCI, 1-click Jupyter Notebooks, our Python SDK, and more. \n\nKey components:\n\n* [Notebooks](https://gradient.run/notebooks): 1-click Jupyter Notebooks.\n* [Workflows](https://gradient.run/workflows): Train models at scale with composable actions. \n* [Inference](https://gradient.run/deployments): Deploy models as API endpoints.\n\nGradient supports any ML/DL framework (TensorFlow, PyTorch, XGBoost, etc).\n\n