Deep Java Library (DJL): A Framework-Agnostic Deep Learning Platform in Java

Deep Java Library (DJL) is an open-source deep learning framework written in Java that supports multiple backends like TensorFlow, PyTorch, and MXNet. It provides a unified API to train and deploy deep learning models, making it easier for Java developers to integrate AI into their applications without needing to learn multiple backend-specific frameworks. DJL simplifies the process of using deep learning in Java by offering a high-level, framework-agnostic interface.