pytkml VS youtube2Anki

Code: https://github.com/rbitr/pytkml

I didn't explain it well; this is an area that's becoming increasingly important

I worked on (wouldn't say I completed) a testing framework for ML models, where you can specify a series of tests for a model to pass. The unique part is emphasizing support from the training data for the inferences you expect the model to make, i.e. checking that similar training data exists for some test cases and is influential in predicting them. It's pretty niche, and I don't explain it very well, but I remain convinced that with the right framing it represents a more rigorous way of making sure machine learning models are built and used "responsibly".

https://github.com/rbitr/pytkml

Would an embedded youtube video on the card suffice? Using this will probably be a lot faster than doing it manually: https://github.com/dobladov/youtube2Anki

When using Youtube2Anki Chrome extension to add cards via the AnkiConnect add-on the cards by default go to a new deck simply called "blank". It's not the end of the world, as everything works as intended and I was intending to create a new deck for this anyway.

Convert Youtube Transcripts to Anki cards