Bug Fixing Labs for DL

[upadhyan]

What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)

Updating pyproject.toml to handle dependency conflicts + disabling GPU for tensorflow across all labs. Specifically updated UMAP and sklearn versions so they install correctly. Furthermore, I'm adding a code block to disable GPU if the participant has a GPU on their machine, along w/ comments saying they can disable it if they want.

NOTES ON GPU DISABLING: Keras/Tensorflow often has problems if someone hasn't install ptxas, the proper cuda versions, updated drivers, etc. Its easier and more practical to just add a code bit to disable GPU access unless someone's confident in enabling it.

FUTURE WORK: Tensorflow/keras is cool, but its so clunky. Maybe we can go full torch/skorch (https://github.com/skorch-dev/skorch) after this?

Checklist

• [ x] I can confirm that my changes are working as intended

[github-actions]

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[danielrazavi]

Looks good to me. Thank you.