krypto
kotlindl
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| krypto | kotlindl | |
|---|---|---|
| 1 | 16 | |
| 139 | 1,400 | |
| - | 1.6% | |
| 0.0 | 5.7 | |
| almost 2 years ago | 7 months ago | |
| Kotlin | Kotlin | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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krypto
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?
kotlin-multiplatform-libsodium - A kotlin multiplatform wrapper for libsodium, using directly built libsodium for jvm and native, and libsodium.js for js targets.
KorGE - KorGE Game Engine. Multiplatform Kotlin Game Engine
htmx - </> htmx - high power tools for HTML
Decompose - Kotlin Multiplatform lifecycle-aware business logic components (aka BLoCs) with routing (navigation) and pluggable UI (Jetpack Compose, SwiftUI, JS React, etc.)
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
kotlinx-datetime - KotlinX multiplatform date/time library
kotlinx.serialization - Kotlin multiplatform / multi-format serialization
ktor - Framework for quickly creating connected applications in Kotlin with minimal effort
multik - Multidimensional array library for Kotlin
kinference - Running ONNX models in vanilla Kotlin
swift-evolution - This maintains proposals for changes and user-visible enhancements to the Swift Programming Language.