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. (by deeplearning4j)
multik
Multidimensional array library for Kotlin (by Kotlin)
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| Deeplearning4j | multik | |
|---|---|---|
| 13 | 9 | |
| 13,424 | 616 | |
| 0.5% | 1.5% | |
| 6.5 | 8.3 | |
| 8 days ago | 3 months ago | |
| Java | Kotlin | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
Deeplearning4j
Posts with mentions or reviews of Deeplearning4j.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-29.
- Deeplearning4j Suite Overview
- Java for ML?
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Best way to combine Python and Java?
Have you considered migrating off of Python to just using JVM ML libraries then? I hear good things about Deeplearning4j, but there's quite a few.
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Anybody here using Java for machine learning?
I've gone to the linux workflow as directed in the docs and reconstructed the maven command line:
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Data Science Competition
DL4J
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Java Matrix Benchmark is Updated! See how linear algebra libraries compare for speed
Hey folks, just letting you know we see this thread and I appreciate you guys running these benchmarks. I'm not seeing any of your posts on our forums. I think I saw a notification from our examples but we do not actually monitor that. Please use: https://community.konduit.ai/ or at least the main repo dl4j issues: https://github.com/eclipse/deeplearning4j/issues and you'll get a lot more visibility. Thanks!
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Does Java has similar project like this one in C#? (ml, data)
Also, the website is now redirected to: https://deeplearning4j.konduit.ai/
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If it gets better w age, will java become compatible for machine learning and data science?
On top of this several popular projects have been built. This includes tensorflow-java and our project eclipse deeplearning4j: https://github.com/eclipse/deeplearning4j
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Matrices multiplication benchmark: Apache math vs colt vs ejml vs la4j vs nd4j
Nd4j is actively developed. The latest commit was 6 hours ago. Nd4j is part of deeplearning4j which is now owned by eclipse (but the main contributors are from a company) https://github.com/eclipse/deeplearning4j/tree/master/nd4j
multik
Posts with mentions or reviews of multik.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-27.
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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?
When comparing Deeplearning4j and multik you can also consider the following projects:
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
nd4j - Fast, Scientific and Numerical Computing for the JVM (NDArrays)
Weka
kotlin-jupyter - Kotlin kernel for Jupyter/IPython
tensorflow - An Open Source Machine Learning Framework for Everyone
kotlindl - High-level Deep Learning Framework written in Kotlin and inspired by Keras
Smile - Statistical Machine Intelligence & Learning Engine
Kotlin-Multiplatform-Libraries - Kotlin Multiplatform Libraries. Welcome PR if you find or create new Kotlin Multiplatform Library.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
kotlin-flow-extensions - Extensions to the Kotlin Flow library.
Apache Mahout - Mirror of Apache Mahout
rsocket-kotlin - RSocket Kotlin multi-platform implementation
Deeplearning4j vs Deep Java Library (DJL)
multik vs nd4j
Deeplearning4j vs Weka
multik vs kotlin-jupyter
Deeplearning4j vs tensorflow
multik vs kotlindl
Deeplearning4j vs Smile
multik vs Kotlin-Multiplatform-Libraries
Deeplearning4j vs Pytorch
multik vs kotlin-flow-extensions
Deeplearning4j vs Apache Mahout
multik vs rsocket-kotlin