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With `fmcore`, scientists can rapidly prototype new innovations in hours instead of weeks, accelerating the path to new research breakthroughs or user experiences.\n\nKey features:\n- Easy scaling of model training and inference (see examples).\n- Standardized interfaces for parameter tuning and evaluation.\n- Built-in support for distributed computing and Foundation Model parallelism.\n\n## Installation\n\nThe minimal `fmcore` package can be installed from PyPI:\n\n```\npip install fmcore \n```\n\nTo get all features, we recommend installing in a new Conda environment:\n\n```commandline\nconda create -n fmcore python=3.11 --yes\nconda activate fmcore\npip install uv\nuv pip install \"fmcore[all]\"\n```\n\n## License\n\nThis project is licensed under the Apache-2.0 License.\n\n## Contributing to `fmcore`\n\nSee [CONTRIBUTING](CONTRIBUTING.md#security-issue-notifications) for more information.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famazon-science%2Ffmcore","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Famazon-science%2Ffmcore","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famazon-science%2Ffmcore/lists"}