docker-java-api
neureka
| docker-java-api | neureka | |
|---|---|---|
| 2 | 4 | |
| 266 | 64 | |
| - | - | |
| 0.0 | 6.8 | |
| almost 3 years ago | 2 months ago | |
| Java | Java | |
| BSD 3-clause "New" or "Revised" License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
docker-java-api
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?
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nd4j - Fast, Scientific and Numerical Computing for the JVM (NDArrays)
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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.
gradle-publish-ossrh-sample
FlatLaf - FlatLaf - Swing Look and Feel (with Darcula/IntelliJ themes support)