kotlinx.serialization VS kotlindl

Have you tried this:? https://github.com/Kotlin/kotlinx.serialization/blob/master/docs/serializers.md

Regardless, I followed the documentation to register List for polymorphic serialization and my static code analysis does not seem to be happy with it.

I think kotlinx.serialization might come close, but looks like custom Encoders and Decoders are still experimental.

This example will not work on a multiplatform project. you are using gson, gson runs only on jvm, you should use https://github.com/Kotlin/kotlinx.serialization for the json parsing

This is the issue to +1 https://github.com/Kotlin/kotlinx.serialization/issues/1931

Fun fact, kotlinx.serialization had a release just recently which makes it come with some bundled proguard rules to make this experience easier. Yes you'll still have issues if you're using things via reflection and try to serialize things that proguard deemed unused and removed them, but it's a step forward https://github.com/Kotlin/kotlinx.serialization/releases/tag/v1.5.0-RC

Kotlin Serialization

Kotlin Serialization is also a newer option, but doesn't have as much traction.

``` see the docs

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/