djl-demo
Discover a variety of examples using the Deep Java Library for creating deep learning applications across Android, AWS, and big data platforms. Understand the implementation of inference and training with TensorFlow and PyTorch frameworks, learn to develop Android apps equipped with object detection and style transfer, and leverage AWS for model deployment. The resource also includes integration examples for Apache Spark, Beam, and Flink, while highlighting advanced features like multi-engine usage in a single JVM and model deployment on Quarkus.