Download JAR files tagged by core with all dependencies

A few scripts for U*ix and Windows systems are provided to quickly run examples: + runViewerExample.sh + runHistogramViewerExample.sh + runViewerExample.bat + runHistogramViewerExample.bat Directory tree ============== * modules/Core sources for the core component * modules/ImageJ-Plugin sources for the ImageJ plugin * modules/JAI-Plugin sources for the JAI plugin * modules/Metadata sources for the Metadata component * modules/Processor sources for the imaging processor * modules/Renderer sources for the renderer * modules/Examples/ViewerExample example about the renderer * modules/Examples/HistogramViewerExample example about histogram computation * modules/Examples/CustomOperationExample example about custom operations * modules/Examples/Miscellaneous miscellaneous examples

The Teachingbox uses advanced machine learning techniques to relieve developers from the programming of hand-crafted sophisticated behaviors of autonomous agents (such as robots, game players etc...) In the current status we have implemented a well founded reinforcement learning core in Java with many popular usecases, environments, policies and learners.

The JAMES core module is part of the JAMES framework for discrete optimization using local search metaheuristics in Java. The core contains many general components for both problem specification and search application. It includes a wide range of generic optimization algorithms to solve the specified problems. Moreover, the core provides implementations of specific components for subset selection.

The JAMES extensions module is part of the JAMES framework for discrete optimization using local search metaheuristics in Java. It extends the core with additional tools for advanced problem specification and search customization. It also provides specific components for some other problem types besides subset selection (e.g. permutation problems) and an automated analysis workflow.