adams-basic-app -- minimalistic application with Groovy, spreadsheet (zip, deb, rpm)
adams-base-all -- contains all basic modules (zip, deb, rpm)
adams-addons-all -- contains all basic modules and addons modules (zip, deb, rpm)
adams-ml-app -- contains machine learning, scripting and spreadsheet modules (zip, deb, rpm)
adams-annotator -- contains modules for image/video processing, image annotating, PDF handling, scripting, Weka support and spreadsheet modules (zip, deb, rpm)
adams-spectral-app -- contains module for handling spectra (2-dimensional spectra like NIR, MIR, XRF and 3-way data like EEM fluorescence spectra) spreadsheet modules and Weka module (zip, deb, rpm)
A lot of projects this year were focused on deep learning again. Though development has been quieter, more focus was on improving usability and squashing bugs:
34 new actors and 10 new conversions were added
Support for Matlab and [Redis](https://redis.io/) (in-memory data structure store) was added.
The adams-r module now has experimental support for [Renjin](https://www.renjin.org/), the JVM-based interpreter for the R language.
As part of a big clean up, the following modules have been retired (and the code moved to the [adams-discontinued](https://github.com/waikato-datamining/adams-discontinued) repo):
Unzip the ZIP archive and execute the appropriate shell/batch script from a terminal:
Linux users, when installing an Debian or RPM package, can start ADAMS either from their
start menu or from the terminal (via