Description:

DIANNE is a modular framework designed for easy and dynamic distribution of deep learning models and procedures. Besides providing elementary building blocks as well as various training and evaluation routines, DIANNE focuses on dynamic deployment on heterogeneous distributed infrastructure, integration with external systems and ease of use. DIANNE is built on top of OSGi to provide service-level abstractions, uses the AIOLOS middleware framework for distribution and has GPU-support for accelerated computation. Both model- and data-parallelism are supported out-of-the-box. DIANNE is released under a AGPL v3 license.

For more details, please visit our website at: http://dianne.intec.ugent.be/

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download

Corresponding Paper BibTeX Entry: Download

Supported Operating Systems: Linux, Macos

Data Formats: Csv, Json, Java, Jpg

Tags: Deep Learning, Neural Networks, Java, Distributed Learning, Osgi

Archive: download here

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