Eclipse Modeling Toolbox Files

Brought to you by: astorch, laue

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	InfoDownloads / Week
Parent folder
1.0.0	2011-07-22	1
Totals: 1 Item		1

Other Useful Business Software

Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.

Start Free

Ship Agents Faster

Transform your applications and workflows into powerful agentic systems at global scale.

Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.

Start Free

Ship Agents Faster

Transform your applications and workflows into powerful agentic systems at global scale.

Start Free

Recommended Projects

Eclipse Office
Eclipse Office is based on Eclipse/EMF/GMF. Preconditions: Eclipse 3.4 and latest GMF runtime
Reflective Ecore Model Diagram Editor
Reflective Ecore Model Diagram Editor is a GMF based Eclipse plugin which provides a graphical editor for any EMF model file, using only the meta-model such as .ecore and .xsd file. You don't need any .gmfgraph, .gmftool, .gmfmap, or .gmfgen files.
IRIS Toolbox Project
I Rest, IRIS Solves
EMF To GraphViz
This tool allows to generate a graphical representation of an EMF model (using GraphViz utility http://www.graphviz.org/). It may be considered as a lightweight readonly GMF alternative.
Auditory Modeling Toolbox
The auditory modeling toolbox (AMT) is a Matlab/Octave toolbox for the development and application of auditory computational models. Over 50 auditory models implemented in Matlab, Octave, C, C++, and Python can be run from Matlab and Octave, on Windows and Linux. The AMT provides a well-structured in-code documentation, includes auditory data required to run the models. It integrates functionality to reproduce the model predictions. Model implementations can be evaluated in two stages, by running so-called demonstrations which are quick presentations of a model and by starting so-called experiments aimed at reproducing results from the corresponding publications. Easy installation and user-friendly access help students and researchers to work with and to advance existing models.