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Hi all !
My company has a Keras project where the deployment is currently handled by a homemade Flask API and custom bash scripts. We’re having trouble
We’re looking for one (or several combined) ML framework that would help us solve these issues. So far we’re benchmarking TFX, MLFlow, Floydhub, Acumos, Neptune, DVC and Pachyderm, but we wonder if we didn’t miss a good candidate.
Did a framework change your life ? Share your experience !
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