• adams-basic-app -- minimalistic application with Groovy, spreadsheet (zip)

  • adams-base-all -- contains all basic modules (zip)

  • adams-addons-all -- contains all basic modules and addons modules (zip)

  • adams-ml-app -- contains machine learning, scripting and spreadsheet modules (zip)

  • adams-annotator -- contains modules for image/video processing, image annotating, PDF handling, scripting, Weka support and spreadsheet modules (zip)

  • 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)

  • additional libraries

    • CUDA 8.0 support for multiway-algorithms (zip)

    • CUDA 9.2 support for multiway-algorithms (zip)


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 repo):

  • adams-cntk-weka

  • adams-cntk

  • adams-image-webservice

  • adams-imaging-imagemagick

  • adams-imaging-openimaj

  • adams-jooq

  • adams-meka-webservice

  • adams-mongodb

  • adams-weka-nd4j-lts

  • adams-weka-nd4j

  • adams-weka-webservice

Launching ADAMS

Unzip the ZIP archive and execute the appropriate shell/batch script from a terminal:

  • Linux/Unix/OSX: bin/start_gui.sh

  • Windows: bin/start_gui.bat

Linux users, when installing an Debian or RPM package, can start ADAMS either from their start menu or from the terminal (via adams-*-gui).