Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. DJL is designed to be easy to get started with and simple to use for Java developers. DJL provides native Java development experience and functions like any other regular Java library. You don't have to be a machine learning/deep learning expert to get started. You can use your existing Java expertise as an on-ramp to learn and use machine learning and deep learning. You can use your favorite IDE to build, train, and deploy your models. DJL makes it easy to integrate these models with your Java applications. Because DJL is deep learning engine agnostic, you don't have to make a choice between engines when creating your projects. You can switch engines at any point. To ensure the best performance, DJL also provides automatic CPU/GPU choice based on hardware configuration.

Features

  • Write once and run anywhere
  • Develop your model using DJL and run it on an engine of your choice
  • Intuitive APIs use native Java concepts and abstract away complexity involved with Deep learning
  • Bring in your own model, or use a state of the art model from our library to deploy in minutes
  • Open source library to build and deploy deep learning in Java
  • DJL's ergonomic API interface is designed to guide you with best practices

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License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Windows

Programming Language

Java

Related Categories

Java Frameworks, Java Machine Learning Software, Java Deep Learning Frameworks

Registered

2022-08-05