Difference between revisions of "Downloads"
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=== Standalone for Windows === | === Standalone for Windows === | ||
| − | A standalone/matlab version for Windows 7 can be downloaded in this [ https://drive.google.com/open?id= | + | A standalone/matlab version for Windows 7 can be downloaded in this [https://drive.google.com/open?id=12z9qo6y7Z5TrJqxEjNwq9rFR_qjOwDsQ google drive link]. |
This link is updated less frequently than the link for the latest Linux or Mac versions. The Windows version is unsupported and distributed "as is". If you find installation problems, we advice you to use a different platform. | This link is updated less frequently than the link for the latest Linux or Mac versions. The Windows version is unsupported and distributed "as is". If you find installation problems, we advice you to use a different platform. | ||
==Example data sets== | ==Example data sets== | ||
Examples of training data sets will be updated [[Example data sets|here]] | Examples of training data sets will be updated [[Example data sets|here]] | ||
Revision as of 18:58, 26 January 2018
Contents
Dynamo package
Matlab and Linux Standalone
Please follow this google drive link to download Dynamo. You can safely ignore any complaint of your browser about not being able to preview the file.
This package is around 3.7Gb as it includes the standalone Matlab MCR libraries of Matlab R2017a. The tar file can be installed both as standalone or inside the Matlab environment.
Standalone for MAC
If you plan to use Dynamo in the Mac without a Matlab license use this google drive link. This link is updated less frequently than the link for the latest Linux version. If you want the latest version of Dynamo as standalone for the Mac, drop us an email.
Standalone for Windows
A standalone/matlab version for Windows 7 can be downloaded in this google drive link. This link is updated less frequently than the link for the latest Linux or Mac versions. The Windows version is unsupported and distributed "as is". If you find installation problems, we advice you to use a different platform.
Example data sets
Examples of training data sets will be updated here
