nd4j
gocypher-cybench-java
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nd4j | gocypher-cybench-java | |
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2 | 4 | |
1,808 | 3 | |
- | - | |
0.0 | 0.0 | |
almost 3 years ago | over 1 year ago | |
Java | Java | |
Apache License 2.0 | GNU Lesser General Public License v3.0 only |
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.
nd4j
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NumPy equivalent for Java?
this https://github.com/deeplearning4j/nd4j
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Matrices multiplication benchmark: Apache math vs colt vs ejml vs la4j vs nd4j
nd4j is v good but is no longer actively maintained. I just posted an issue to see if anyone on that project might "wake up" or transition to new maintainers. https://github.com/deeplearning4j/nd4j/issues/2939
gocypher-cybench-java
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Continuous Performance Regression Testing for CI/CD
How do you do continuous performance regression testing? We just launched cybench.io to help devs with automated performance regression testing during build and CI/CD. See wiki: https://github.com/K2NIO/gocypher-cybench-java/wiki. Main website is at : https://cybench.io.
- Getting Started with Automated Performance Regression Testing ยท K2NIO/gocypher-cybench-java Wiki
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Matrices multiplication benchmark: Apache math vs colt vs ejml vs la4j vs nd4j
We will look into it. There is just so much we can bench..:) Also, keep in mind anyone can create and run benchmarks and compare. CyBench benchmark harness is open source and extends JMH. More on this here: https://github.com/K2NIO/gocypher-cybench-java/wiki.
What are some alternatives?
multik - Multidimensional array library for Kotlin
gocypher-cybench-intellij - CyBench IntelliJ IDEA plugin for benchmarking APIs, Java code
KonaBess - A GPU overclock & undervolt tool for various Snapdragon chips
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.
neureka - A platform independent tensor library with autograd for the JVM
cybench-java-benchmarks - Java code benchmark focused on core java services using JMH.
panama-jextract-samples - Panama jextract samples
jmeter-maven-plugin - The JMeter Maven Plugin
java-ndarray
LSM-Tree - Log-Structured Merge Tree Java implementation