cybench-java-benchmarks
multik
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cybench-java-benchmarks | multik | |
---|---|---|
2 | 9 | |
5 | 616 | |
- | 1.5% | |
0.0 | 8.3 | |
11 months ago | 3 months ago | |
Java | Kotlin | |
GNU Lesser General Public License v3.0 only | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cybench-java-benchmarks
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Matrices multiplication benchmark: Apache math vs colt vs ejml vs la4j vs nd4j
Here is the link to the actual benchmark code: https://github.com/K2NIO/gocypher-cybench-java-core/blob/main/gocypher-cybench-matrices/src/main/java/com/baeldung/matrices/benchmark/BigMatrixMultiplicationBenchmarking.java
- CyBench benchmark: Undertow, Jetty, NanoHttpd, Sparkjava, Takes, HttpServer
multik
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multidimensional arrays
If you need a simpler array syntax, have a look at the official multi dimensional array library for Kotlin: https://github.com/Kotlin/multik
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NumPy equivalent for Java?
for JVM https://github.com/Kotlin/multik
- Numpy for kotlin
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Kotlin Team AMA #3: Ask Us Anything
Multik (NumPy analogue) - Multidimensional array library for Kotlin.
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Natural language processing with Kotlin: Part-of-speech tagging with Hidden Markov Model
To work with matrices, I'm using multik, a multidimensional array library for Kotlin. It has been publicly released recently, and you can read more about it on the Kotlin blog.
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Matrices multiplication benchmark: Apache math vs colt vs ejml vs la4j vs nd4j
Can the benchmark add the recent https://github.com/Kotlin/multik And https://github.com/Kotlin/kotlin-numpy
- MultiK: Multidimensional Array Library for Kotlin
What are some alternatives?
nd4j - Fast, Scientific and Numerical Computing for the JVM (NDArrays)
gocypher-cybench-java - CyBench Benchmark Launcher for running, executing and reporting JMH benchmarks.
kotlin-jupyter - Kotlin kernel for Jupyter/IPython
Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
kotlindl - High-level Deep Learning Framework written in Kotlin and inspired by Keras
template-benchmark - JMH benchmark of the most popular Java template engines
Kotlin-Multiplatform-Libraries - Kotlin Multiplatform Libraries. Welcome PR if you find or create new Kotlin Multiplatform Library.
LSM-Tree - Log-Structured Merge Tree Java implementation
kotlin-flow-extensions - Extensions to the Kotlin Flow library.
rsocket-kotlin - RSocket Kotlin multi-platform implementation
KorGE - KorGE Game Engine. Multiplatform Kotlin Game Engine