DJL (Deep Java Library)

A deep learning library for Java

FreeMachine Learning Framework machine learning neural networks deep learning Java AI framework

0 savesAdded 5/12/2026

• Open-source deep learning library that enables building and deploying machine learning models in Java.

About DJL (Deep Java Library)

• Deep learning framework designed for Java developers to build, train, and deploy models• Provides a unified API that supports multiple underlying engines such as TensorFlow, PyTorch, and MXNet• Includes model zoo with pre-trained models for common tasks• Supports inference and training workflows within JVM environments• Offers utilities for dataset handling, training loops, and model deployment

Key Features

Unified API supporting multiple deep learning engines

Model zoo with pre-trained models

Tools for training and inference

Dataset and data processing utilities

Deployment support for JVM applications

How Many Free Generations/Credits

Not disclosed

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FAQ

1. What engines does DJL support? DJL supports multiple engines including TensorFlow, PyTorch, and MXNet through a unified API.

2. Does DJL provide pre-trained models? Yes. According to the official documentation, DJL includes a model zoo with pre-trained models for common machine learning tasks.