kotlin-flow-extensions
kotlindl
kotlin-flow-extensions | kotlindl | |
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2 | 16 | |
504 | 1,405 | |
- | 1.0% | |
6.4 | 5.7 | |
about 2 months ago | 7 months ago | |
Kotlin | Kotlin | |
Apache License 2.0 | Apache License 2.0 |
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kotlin-flow-extensions
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Are there any good tutorials showing the use of Reactor streams using Kotlin?
I don't know, why I'm downvoted here, but it is very relevant if the library provide the operators you need or if you have to implement them yourself. If Kotlin Flow is enough, then use it. From experience you don't have to go to far to miss operators from Reactor or RxJava. Maybe some day additional libraries like https://github.com/akarnokd/kotlin-flow-extensions will fill the gap, but for the time being Reactor or RxJava offer a lot more for (not trivial) real world use cases.
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Kotlin Team AMA #3: Ask Us Anything
Why do you want to keep Flow such a small library? It could be an attractive alternative to RxJava or Reactor, but it misses many useful operators today. On the other hand it brings a lot more operatores than would be required as a foundation for other frameworks (likeKotlin Flow Extensions). From my point of view Flow stays in the middleground with no good reason.
kotlindl
- is it posssible to add an a python AI tensorflow script inside kotlin for android?
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Kotlin Deep Learning Android app - Working
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
- Implementing a object detection into a kotlin mobile application
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What libraries do you use for machine learning and data visualizing in scala?
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.
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KotlinDL 0.3 Is Out With ONNX Integration, Object Detection API, 20+ New Models in ModelHub, and Many New Layers
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?
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Machine Learning in Kotlin (Question)
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.
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Numpy for kotlin
For deep learning this is your best bet: https://github.com/jetbrains/kotlindl
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Kotlin Team AMA #3: Ask Us Anything
So, the KotlinDL library could solve classification and regression tasks on tabular data and image data.
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Show HN: Shape-Safe Symbolic Differentiation with Algebraic Data Types
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/
What are some alternatives?
kotlinx-datetime - KotlinX multiplatform date/time library
KorGE - KorGE Game Engine. Multiplatform Kotlin Game Engine
Reactive Streams - Reactive Streams Specification for the JVM
Decompose - Kotlin Multiplatform lifecycle-aware business logic components (aka BLoCs) with routing (navigation) and pluggable UI (Jetpack Compose, SwiftUI, JS React, etc.)
htmx - </> htmx - high power tools for HTML
multik - Multidimensional array library for Kotlin
kotlin-wrappers - Kotlin wrappers for popular JavaScript libraries
tensorflow-keras-scala - Scala-based Keras API for the Java bindings to TensorFlow. Mirror of https://codeberg.org/sciss/tensorflow-keras-scala
rsocket - RSocket Protocol Definition