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

• versioning our code, models and data,
• going from experiments to production-ready code,
• designing clear standards and automatic release checks.

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 !