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- DJL - Deep Java Library
With DJL, data science team can build models in different Python APIs such as Tensorflow, Pytorch, and MXNet, and engineering team can run inference on these models using DJL
- Main - Deep Java Library - DJL
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
- Documentation - Deep Java Library - DJL
This folder contains examples and documentation for the Deep Java Library (DJL) project JavaDoc API Reference Note: when searching in JavaDoc, if your access is denied, please try removing the string undefined in the url Demos Cheat sheet How to load a model How to collect metrics How to use a dataset How to set log level Dependency Management
- Why DJL Serving? - Deep Java Library
DJL Serving is a high performance universal stand-alone model serving solution powered by DJL It takes a deep learning model, several models, or workflows and makes them available through an HTTP endpoint
- Quick start - Deep Java Library - DJL
Deep Java Library (DJL) is designed to be easy to get started with and simple to use The easiest way to learn DJL is to read the beginner tutorial or our examples
- Examples - djl
Examples This module contains examples to demonstrate use of the Deep Java Library (DJL) You can find more examples from our djl-demo github repo The following examples are included for training:
- DJL - Deep Java Library
DJL core API DJL DataSet API DJL Basic ModelZoo LightGBM for DJL XGBoost for DJL MXNet Engine for DJL MXNet ModelZoo ONNX Runtime Engine for DJL PyTorch Engine for DJL PyTorch ModelZoo TensorFlow Engine for DJL TensorFlow ModelZoo Audio Extension AWS AI fastText Engine for DJL Hadoop Extension OpenCV Extension SentencePiece Extension Tablesaw
- Interactive Development - Deep Java Library - DJL
Inspired by Spencer Park’s IJava project, we integrated DJL with Jupyter Notebooks For more information on the simple setup, follow the instructions in DJL Jupyter notebooks
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