A framework to run MATLAB programs as batch jobs. Features a structured input description, integrity constraints and GUI.Independent parts of a job can execute in parallel on a cluster computer. Developed at Freiburg Brain Imaging (FBI) - http://fbi.uniklinik-freiburg.de/
An open infrastructure software to facilitate radiomics research.
This web page is not guaranteed to have the latest versions.
The latest stand-alone version can be downloaded at
http://bit.ly/IBEX_MDAnderson
The latest source-code version can be downloaded at
http://bit.ly/IBEXSrc_MDAnderson
IBEX (imaging biomarker explorer) is an open
infrastructure software platform that flexibly supports common radiomics workflow tasks such as
multimodality image data import and review, development of feature extraction algorithms, model
validation, and consistent data sharing among multiple institutions.
...
mlUnit is a unit testing framework for the MATLAB .m language. It considers the patterns of the xUnit family, include assertions, test cases and suites as well as the fixture. In contrast to MATLAB's own unit test framework:
* mlUnit output jUnit compatible XML reports
* mlUnit is compatible with Your MATLAB (not just R2013b), down to at least R2006b
* mlUnit offers specialised assert functions, e.g. assert_empty, assert_warning, and many more.
slUnit is a unit testing framework for...
Moved to https://github.com/rdiankov/openrave
An open-source, cross-platform, plugin-based robot planning environment for autonomous robotics. Includes services like collision detection, physics, (inverse) kinematics, sensors, robot controls, python bindings, and a network scripting environment.
BRAHMS is a Modular Execution Framework for dynamical systems. It knits together independently-authored software modules implementing dynamical processes into an integrated system, and supervises the deployment and execution of that system.
The Sick LIDAR Matlab/C++ Toolbox offers stable and easy-to-use C++ drivers for Sick LMS and Sick LD LIDARs. It provides a Matlab Mex interface for streaming LIDAR returns directly into Matlab. Also included are config utilities, examples, and tutorials.