Emily CLI Documentation
Release-v2.0.1Emily combines the powers of Python and Docker to build stable and consistent machine learning and datascience python environments. Emily is useful for large cross-team project development as well as for simply running a single jupyter notebook or python script.
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$ emily open [project] [options]Open a directory or an existing Emily project by its name or ID.
$ open my-project-nameOpening my-project-name located at my-project-path.Starting Docker container...Running Emily Open
To open a project with Emily, simply run emily open inside a terminal. To open an existing Emily project, you have to supply either the project's ID, name or it's path.
$ open my-project-name$ open ~/my/project/directory$ open MKLHWX --gpu --editor vscodeYou can also import a directory which is not an Emily project. You will be able to choose an import image that suits your project the most.
$ open ./my-import-directory$ open ./my-import-directory --import-mounts ./dataset1 ./dataset2 ./dataset3 --editor pycharm --gpu