kotlinx.coroutines VS kotlindl

Now, let's consider an example. For instance, let's create a Kotlin/JVM project with kotlinx.coroutines library as a dependency.

Greetings community, I just submited a PR to Kotlin coroutines with two additional operators :

The harder parts of Kotlin are going to be things like kotlinx.coroutines, but that's just a library, not a core part of the language. It's about as hard to learn as a comparable library in another language, like the Task Parallel Library in .NET.

Kotlin has coroutines that are supported by the language and implemented by a library (the implementation remains platform-dependent): kotlinx.coroutines and a sandbox environment is available here to try it out.

That said, since it seems like you're doing UI stuff (Android?), you're best off doing all of the UI code in coroutines, using Dispatchers.Main as a context (as provided by one of the platform-specific coroutine libraries), since this will guarantee that your UI code will be safely run in the UI thread.

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/