Deep Java Library examples¶

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

Inference examples¶

Run python pre/post processing ¶

An example application show you how to run python code in DJL.

Malicious URL Detector ¶

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

Pneumonia Detection with TensorFlow engine ¶

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

Live Object Detection ¶

An example application detects live objects from web camera.

Online DoodleDraw game powered by DJL ¶

A web based DoodleDraw game built with DJL.

Run deep learning in browser ¶

A web application that runs DJL code in browser.

Training examples¶

Train footwear classification with DJL ¶

An example application trains footwear classification model using DJL.

Visualizing Training with DJL ¶

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

Android¶

Face detection made easy with DJL ¶

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

Doodle draw app with PyTorch model ¶

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

Make your image look like a painting with Style Transfer ¶

This app will take your image and convert it to the style of Van Gogh or Monet among others.

Identify objects with Semantic Segmentation ¶

An app that takes in an image and colors the objects in it.

Translate from French to English with Neural Machine Translation ¶

Write in the French text that you wanted translated and receive an English output.

Speech recognition ¶

An example that shows how to build speech recognition app.

Object detection with ONNX model ¶

An example that shows how to build object detection app with ONNX model.

AWS services¶

AWS Kinesis Video Streams ¶

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

Serverless Model Serving with AWS Lambda ¶

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

Model Serving on AWS Elastic Beanstalk ¶

Build a micro service to deploy on AWS Elastic Beanstalk.

Model Serving on AWS Elastic Beanstalk ¶

Build a micro service to deploy on AWS Elastic Beanstalk.

Low cost inference with AWS Inferentia ¶

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

Big data integration¶

Spark Image Classification ¶

Contains Spark image classification demos.

Apache Beam CTR Prediction ¶

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

Apache Flink Sentiment Analysis ¶

An example using Apache Flink to run sentiment analysis.

DJL Component in Apache Camel ¶

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

Other demos¶

Use multiple engines in single JVM ¶

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

Use graalvm to speed up your deep learning application ¶

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

Deploy DJL models on Quarkus ¶

An example application that serves deep learning models using Quarkus.