AutoClip packaged and released. #7
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… parameter loading
…flow implementation of QuantileClip to follow torch API
…non dict format groups
…eClip and StandardClip
…ppers for creating a wrapper
Add Optimizer Wrapping Functionallity
…n on init and on adding parameter groups
…es where a closure is used and losses are returned
…ling using torch.save and torch.load
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First off, thank you for the wonderful paper and technique. It solves some needs I have been having with a couple of NLP projects, amongst others.
I'm making this pull request because I have packaged and released my own version of AutoClip on pypi. I did this so that I could have it available for personal use; as it seemed that there hadn't been a lot of recent movement on this repo.
However, that being said: I don't want to camp the
autoclippackage name, split implementations or generally cause any problems, so I'd like to open a dialogue here for discussion if necessary.Cheers,
Tanner