kotlin-data-science-resources VS deeplearning4j-examples

Compare kotlin-data-science-resources vs deeplearning4j-examples and see what are their differences.

kotlin-data-science-resources

Curation of libraries, media, links, and other resources to use Kotlin for data science (by thomasnield)

deeplearning4j-examples

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec) (by deeplearning4j)
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kotlin-data-science-resources deeplearning4j-examples
2 4
434 5
- -
0.0 0.5
over 2 years ago over 3 years ago
Java
- GNU General Public License v3.0 or later
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.

kotlin-data-science-resources

Posts with mentions or reviews of kotlin-data-science-resources. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-28.

deeplearning4j-examples

Posts with mentions or reviews of deeplearning4j-examples. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-13.
  • Installing deeplearning4j and nd4j
    1 project | /r/eclipse | 12 Apr 2023
    Then for the project target, pick our mvn-project-template: https://github.com/deeplearning4j/deeplearning4j-examples/tree/master/mvn-project-template
  • Anybody here using Java for machine learning?
    11 projects | /r/java | 13 Sep 2022
    I'm building from source because I made a tiny change to dl4j to get an example running. It's not really anything that should be committed as it wouldn't be a solution to the issue. (Just a hack around. :) )
  • Machine Learning in Kotlin (Question)
    4 projects | /r/Kotlin | 28 Aug 2021
    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.
  • Deeplearning4j regression help
    1 project | /r/javahelp | 3 Jun 2021
    There are some examples that show how to use it here, including regressions, is that what you are looking for?

What are some alternatives?

When comparing kotlin-data-science-resources and deeplearning4j-examples you can also consider the following projects:

kotlindl - High-level Deep Learning Framework written in Kotlin and inspired by Keras

conclave-samples

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.

Tribuo - Tribuo - A Java machine learning library

Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java

Smile - Statistical Machine Intelligence & Learning Engine

neural-network-number-guesser - Java program that tries to guess a number you are drawing using a Neural Network. Uses the MNIST Dataset for training. Left click to draw, Right click to reset drawing