ksp VS kotlindl

google/ksp is one of the lightweight compiler plugin. We can easy to create compiler plugin with simple syntax. It's set as stable last year.

google/ksp is one of the lightweight compiler plugin which is developed by google. Some jetpack libraries are supporting that configures with ksp (ex: room).

Some guys consider it as a bug.https://github.com/google/ksp/issues/969

Links: GitHub Repo : https://github.com/aniketbhoite/ksp-my-event Google KSP Doc: https://github.com/google/ksp KotlinLang KSP Doc: https://kotlinlang.org/docs/ksp-overview.html

If you ever come back to it, check out https://github.com/google/ksp, it's relatively new but I think it might be a great fit for the project.

Fyi ksp handles tracking this for incremental builds, you may be able to see what they are doing?

I'd like to further iterate on all these patterns in some form of codegen library in the future, as compiler plugins start to mature. I'm hopeful for a multiplatform version of Kotlin Symbol Processing to help with this, though this won't be possible before Kotlin 1.5.20 at the earliest due to missing extension points in the Kotlin compiler. Fingers crossed for something this summer I guess.

Well, KSP is developed by Google, so you should ask them for more documentation, I think :) For compiler plugins -- yes, JetBrains should at some point invest some time and create at least the basic documentation for compiler plugin authors. But first of all, we need to create the public compiler API itself. We are going to do that after releasing the JS IR back-end.

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/