ml-platform

We currently have read and write capabilities but do not support deleting. We could add a few calls like delete delete_all and some recursive way of deleting.

While reading the code I found the following (minor) issue.

The aiohttp docs states: app.make_handler() is deprecated and will be removed in future aiohttp versions. Please use Application runners ins

Report incorrect documentation

Create README at examples and Jupyter notebook tutorials to describe what each example is meant to showcase. Similar to https://github.com/Project-MONAI/tutorials

I can see 3 categories:

1. MONAI Bundle -> MAP - link to key inference operator
2. Model trained with MONAI, but not bundle available -> MAP - link to key inference operator
3. Model NOT trai

Currently you can only do training when you've committed and pushed all new changes in your branch. This introduces a blocker when a Data Scientist is trying out lots of different changes in their code.

Allow for training even with uncommitted changes. This can be done by taking a git diff of the current branch, storing it and then doing an git apply to the current branch during training