kotlindl VS PeopleInSpace

This is a really nice sample app (works out of the box) that Jetbrains have made to showcase the capabilities of this Kotlin Deep Learning library https://github.com/Kotlin/kotlindl

There are Java bindings for TensorFlow, but that's quite low level. I tried to see if I can get some Keras API for Scala, but I'm no expert and haven't had enough time to invest in this, so it's stuck in alpha. Maybe I develop it slow burning over the next year. A bit envious that Kotlin has a Keras-like library.

KotlinDL 0.3 is available now on Maven Central with a variety of new features — check out all the changes that are coming to the new release!

Could you please add an issue with your use-case and proposed solution? Or write here more details. Do you need just serialization to objects in memory? or just in bytes?

While KotlinDL seems to be a good solution by Jetbrains, I would personally stick to Java frameworks like DL4J for a better community support and likely more features.

For deep learning this is your best bet: https://github.com/jetbrains/kotlindl

So, the KotlinDL library could solve classification and regression tasks on tabular data and image data.

Thank you for your feedback! Kotlin∇ is a research prototype for building differentiable programs from basic primitives. If you’re looking for a higher-level API, KotlinDL [1] or KInference [2] might be a better fit for building end-user applications such as image, speech or language processing.

[1]: https://github.com/JetBrains/KotlinDL

[2]: https://github.com/JetBrains-Research/kinference/

I'm already using this structure with one of my projects and I found the experience really pleasant. There are good examples of doing it, one of them being: https://github.com/joreilly/PeopleInSpace

It does work with iOS. You just have to structure it in a way that'll work well. See the People In Space repo to see how it works with iOS

I mostly walked into the setup. My team already did a lot of heavy lifting. I will try to piece together something for the structure/template. Meanwhile, lot of samples are already present here : https://kotlinlang.org/docs/multiplatform-mobile-samples.html Specially https://github.com/joreilly/PeopleInSpace

Here's a project using it.

For DI take a look at Koin. It's a pragmatic lightweight dependency injection framework for Kotlin developers with multiplatform support. PeopleInSpace sample project uses it.

You might be interested in this project https://github.com/joreilly/PeopleInSpace