If it gets better w age, will java become compatible for machine learning and data science?

• Deeplearning4j

  5 12,463 9.7 Java

  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.

  

  On top of this several popular projects have been built. This includes tensorflow-java and our project eclipse deeplearning4j: https://github.com/eclipse/deeplearning4j

• Tribuo

  5 1,045 8.1 Java

  Tribuo - A Java machine learning library

  

  The IJava notebook kernel works pretty well for data science on top of Java. We use it in Tribuo to write all our tutorials, and if you've got the jar file in the right folder everything is runnable. For example, this is our intro classification tutorial - https://github.com/oracle/tribuo/blob/main/tutorials/irises-tribuo-v4.ipynb.

• Mergify

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• awesome-java

  4 32,068 5.9

  A curated list of awesome frameworks, libraries and software for the Java programming language.

  Or more recently Tribuo or others.

• JavaCPP

  3 3,826 7.6 Java

  The missing bridge between Java and native C++

  

  As for our approach, we maintain a library called javacpp: https://github.com/bytedeco/javacpp which proves a python wheel like experience where we distribute natively optimized c/c++ code (and even cuda accelerated code) as jar files on maven central. We also are able to develop with a python like experience by passing pointers around and other low level constructs directly allowing optimizations that you typically only get in c/c++.

• Deep Java Library (DJL)

  5 2,508 9.5 Java

  An Engine-Agnostic Deep Learning Framework in Java

  

  I think DJL also use use it for their tutorials - https://docs.djl.ai/jupyter/tutorial/01_create_your_first_network.html.

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