I don't think so: * It seems there was not a single commit in the past ~6 months which by itself is already a deal breaker. * Documentation is lackluster * Y

I don't think so: * It seems there was not a single commit in the past ~6 months which by itself is already a deal breaker. * Documentation is lackluster * You need to use Keras, I use PyTorch. This is not a deal breaker, but a significant annoyance. * Major features are still lacking. E.g. No support for quantization (afaik), which for me is fundamental. * Most importantly there seem to be no major community around it. It feels a bit bad to say that, because clearly a lot of work went into this project, and some people have to start adopting it to drive the momentum, but from an egoistical point of view, I just don't have the courage to deal with all the mess that comes with introducing an experimental layer in my workflow. Especially in ML where stuff can still appear to "work" (as in, not crashing) despite major bugs in the underlying code, leading to days or week of lost work before realizing where the issue is.