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Deep Java Library examples

DJL Demo Nightly test

The repository contains the source code of the examples for Deep Java Library (DJL) - an framework-agnostic Java API for deep learning.

Inference examples

An example application detects malicious urls based on a trained Character Level CNN model.

An example application detects Pneumonia based on X-ray images using a trained Keras model.

An example application detects live objects from web camera.

A web based DoodleDraw game built with DJL.

A web application that runs DJL code in browser.

Training examples

An example application trains footwear classification model using DJL.

An example application features a web UI to track and visualize metrics such as loss and accuracy.

Android

A Doodle draw android game that is built with PyTorch model.

A template that can be used to build Android applications with MXNet engine.

An example that shows how to build deep learning android app with ease.

AWS services

An example application that reads the output of a KVS Stream.

An example application that serves deep learning model with AWS Lambda.

Build a micro service to deploy on AWS Elastic Beanstalk.

Build a micro service to deploy on AWS Elastic Beanstalk.

An example application that runs low cost/high performance inference with AWS Inferentia.

Big data integration

Contains Spark image classification demos.

An example application using Apache Beam to predict the click-through rate for online advertisements.

An example using Apache Flink to run sentiment analysis.

An example application that demonstrates simple HTTP-service to classify images using Zoo Model.

Other demos

An example application that runs multiple deep learning frameworks in one Java Process.

An example application that demonstrates compile DJL apps into native executables.

An example application that serves deep learning models using quarkus.

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  • Java 61.4%
  • JavaScript 10.2%
  • Vue 7.3%
  • Python 7.2%
  • Scala 4.0%
  • HTML 2.0%
  • Other 7.9%