• adams-basic-app -- minimalistic application with Weka. Groovy, spreadsheet, visualstats (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-spectral-app -- contains module for handling spectra (2-dimensional spectra like NIR, MIR, XRF), spreadsheet modules and Weka module (zip)

  • adams-deeplearning-spectral-app -- same as adams-spectral-app but with deep learning modules (zip)

  • adams-annotator -- application for annotating videos with meta-data, e.g., for monitoring rodent behavior in lab environments (zip)

  • additional libraries

    • CUDA 7.5 support for deeplearning4j (zip)

    • CUDA 8.0 support for deeplearning4j (zip)


  • Code base was moved to Github

  • Nearly 90 new actors, 25 new conversions

  • much improved deeplearning4j module

  • experimental support for Microsoft's CNTK deep learning framework

  • rsync module

  • MEKA webservice module

  • improved support for image annotations

  • improved LaTeX support

  • Websocket support

Launching ADAMS

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

  • Linux/Unix/OSX: bin/run

  • Windows: bin/run.bat