Re: [science-iwg] DIANNE - a deep learning framework on Java/OSGi

[Christopher Brooks <cxh@xxxxxxxxxxxxxxxxx>]

Hi Tim,
DIANNE looks interesting!  In particular, it would be interesting to see about joining forces around the block diagram editor.  Triquetrum has a block diagram editor as well, see https://projects.eclipse.org/proposals/triquetrum

What is license for DIANNE?  http://dianne.intec.ugent.be/ does not list a license.

The GitHub repo looks to have the Affero GPL (https://github.com/ibcn-cloudlet/dianne/blob/master/LICENSE).  For the Ptolemy project, we can use AGPL code, but we can't redistributed it.  I'm not sure how AGPL would work with Eclipse projects, but my guess is that we can't redistribute AGPL code, but we can provide hooks for users to download AGPL code and use it with work like Triquetrum.

_Christopher

 

On Fri, Oct 28, 2016 at 6:15 AM, Philip Wenig <philip.wenig@xxxxxxxxxxxxx> wrote:

Hi Tim,

thanks for sharing :-).


Best,
Philip

Am 28.10.2016 um 13:01 schrieb Jay Jay Billings:

Tim,

Thanks for sharing and welcome to the list! I'm actually familiar with DIANNE - great project!

Jay

On Oct 28, 2016 4:12 AM, "Tim Verbelen" <tim.verbelen@xxxxxxxxxxxxxx> wrote:

Hi all,

My name is Tim Verbelen, I am researcher at Ghent University and committer of the Eclipse Concierge project. At EclipseCon Europe last week I learned about the Eclipse Science community and within the university I am working on a project that might be worth sharing.

DIANNE is a modular framework designed for easy and dynamic distribution of deep learning models and procedures. It is built on OSGi, and uses native bindings to the CPU/GPU to achieve state of the art performance.

DIANNE features:

- A web-based visual user interface for designing neural networks.

- A service model for neural networks, datasets, training procedures, etc.

- Distributed deployment of neural networks on various platforms such as Raspberry Pi, nVidia Jetson up to GPU servers.

- Support for deep reinforcement learning, with benchmark environments such as the Arcade Learning Environment.

More info at the website: http://dianne.intec.ugent.be/ or our github: https://github.com/ibcn-cloudlet/dianne

Best regards,

Tim

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