deeplearning4j-examples
neureka
| deeplearning4j-examples | neureka | |
|---|---|---|
| 4 | 4 | |
| 5 | 64 | |
| - | - | |
| 0.5 | 6.8 | |
| over 3 years ago | 3 months ago | |
| Java | Java | |
| GNU General Public License v3.0 or later | MIT License |
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deeplearning4j-examples
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Installing deeplearning4j and nd4j
Then for the project target, pick our mvn-project-template: https://github.com/deeplearning4j/deeplearning4j-examples/tree/master/mvn-project-template
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Anybody here using Java for machine learning?
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. :) )
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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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Deeplearning4j regression help
There are some examples that show how to use it here, including regressions, is that what you are looking for?
neureka
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Anybody here using Java for machine learning?
I am using https://github.com/Gleethos/neureka to do some personal machine learning and also basic data science stuff at my workplace. It is inspired by PyTorch and it's dynamic autograd system (which records the computation graph to then traverse it for backpropagation eagerly). The library is super lightweight, has a nice API and documentation, but it's still very young and not as feature rich.
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NumPy equivalent for Java?
A lightweight option: Neureka - https://github.com/Gleethos/neureka
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Your cool open source libraries
https://github.com/Gleethos/neureka A tensor/nd-array library inspired by Numpy and PyTorch. Supports:
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Do you have a github account ? What are you working on as a Java side-project ?
If you are into deep learning: I work on an nd-array / tensor library with autograd support. https://github.com/Gleethos/neureka
What are some alternatives?
kotlindl - High-level Deep Learning Framework written in Kotlin and inspired by Keras
castlemock - Castle Mock is a web application that provides the functionality to mock out RESTful APIs and SOAP web services.
conclave-samples
nd4j - Fast, Scientific and Numerical Computing for the JVM (NDArrays)
kotlin-data-science-resources - Curation of libraries, media, links, and other resources to use Kotlin for data science
milkman - An Extensible Request/Response Workbench
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.
panama-jextract-samples - Panama jextract samples
Tribuo - Tribuo - A Java machine learning library
znai - Build functional, maintainable, beautiful User Guides with markdown and Znai plugins. Instant pages navigation. Local search. Multiple integrations to work with Python, Java, C++, OpenAPI, etc. Transform "getting started" sections into slideshow for your workshops. Manage multiple documentations with self-deployed znai hub.
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
FlatLaf - FlatLaf - Swing Look and Feel (with Darcula/IntelliJ themes support)