Eclipse Deeplearning4j is a suite of tools for running deep learning on the JVM. It's the only framework that allows you to train models from jav

Deeplearning4j Suite Overview | EN 1.0.0-M2.1 | Deeplearning4j

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Eclipse Deeplearning4j is a suite of tools for running deep learning on the JVM. It's the only framework that allows you to train models from java while interoperating with the python ecosystem through a mix of python execution via our cpython bindings, model import support, and interop of other runtimes such as tensorflow-java and onnxruntime.

Consider going to our Quickstart for an overview of where to get started. If you have dependency issues please use our Required Dependencies guide.

The use cases include importing and retraining models (Pytorch, Tensorflow, Keras) models and deploying in JVM Micro service environments, mobile devices, IoT, and Apache Spark. It is a great compliment to your python environment for running models built in python, deployed to or packaged for other environments.

Samediff: a tensorflow/pytorch like framework for execution of complex graphs. This framework is lower level, but very flexible. It's also the base api for running onnx and tensorflow graphs.