machine_learning_examples
neptune-contrib
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machine_learning_examples | neptune-contrib | |
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3 | - | |
8,091 | 27 | |
- | - | |
5.3 | 0.0 | |
8 days ago | over 1 year ago | |
Python | Python | |
- | MIT License |
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machine_learning_examples
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Doubt about numpy's eigen calculation
Does that mean that the example I found on the internet is wrong (I think it comes from a DL Course, so I'd imagine it is not wrong)? or does it mean that I am comparing two different things? I guess this has to deal with right and left eigen vectors as u/JanneJM pointed out in her comment?
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How to save an attention model for deployment/exposing to an API?
I've been following a course teaching how to make an attention model for neural machine translation, This is the file inside the repo. I know that I'll have to use certain functions to make the textual input be processed in encodings and tokens, but those functions use certain instances of the model, which I don't know if I should keep or not. If anyone can please take a look and help me out here, it'd be really really appreciated.
neptune-contrib
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Tracking mentions began in Dec 2020.
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