https://blog.tensorflow.org/2020/09/introducing-tensorflow-recommenders.html Interesting blog post about recommenders library, hoping we can get kotlin support for this

Hello! Yes, we are working to get there. Recently I was able to bring our Kotlin build up to TF 2.3.X compatibility. We are integrating now for Kotlin JVM with the Java TF Special Interest Group. There is still work in progress on this, but we're getting there. Regarding tensorflow recommenders, the Kotlin library should eventually have support for this, and more. Part of the Kotlin project's goal is to extend the typical Keras libraries with an additional DSL to support higher-level AI/ML programming, so developers can focus less on the mechanics of model configuration, and more on building applications with ML capabilities, with less modeling tedium. I should have an article up in the coming weeks on https://tfk.dev explaining more of the planned features and capabilities for TF Kotlin 1.0 release.

Hello @mattmoore since recommneders are my learning topic for this week,despite being the basic stuff withot ML now (just simple content based recommenders ), but this is finaly something where I could help. I am finishing my 2 talks for local german kotlin konference but then we can definitely have our call 🙂

That’s amazing, can’t wait to read more and contribute to the TF Kotlin project!

@Michal Harakal Yep! Help on this would definitely be great! I'm a bit busy over the next couple weeks, but should have a little time freeing up after.