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Multiple loosely coupled modules which extend ZK framework, originally created by DataLite company. ZKComposer - controll the MVC design with annotations @ZkEvent?, @ZkComponent?, @ZkBinding?, ... (similar to zkspring or zkcdi projects, however without any framework dependencies). ZKDLComponents splits ZK data driven components (listbox, combobox) to MVC design, adds support for easy large data manipulation and contains many pre-built user controls (filter manager, sort manager, visible listbox columns manager, export to excel, etc.) HibernateDAO & ZKDLComponentsHibernateExtensions - Hibernate generic DAO design with extensions for ZKDLComponents to replace all your plumbing code (filter, sort, lazy loading, CRUD). SpringService? - service layer with spring - generic service which speaks to generic DAO. This is the way we use our components at DataLite?, but you can use any integration or DAO at your will.

Multiple loosely coupled modules which extend ZK framework, originally created by DataLite company. ZKComposer - controll the MVC design with annotations @ZkEvent?, @ZkComponent?, @ZkBinding?, ... (similar to zkspring or zkcdi projects, however without any framework dependencies). ZKDLComponents splits ZK data driven components (listbox, combobox) to MVC design, adds support for easy large data manipulation and contains many pre-built user controls (filter manager, sort manager, visible listbox columns manager, export to excel, etc.) HibernateDAO & ZKDLComponentsHibernateExtensions - Hibernate generic DAO design with extensions for ZKDLComponents to replace all your plumbing code (filter, sort, lazy loading, CRUD). SpringService? - service layer with spring - generic service which speaks to generic DAO. This is the way we use our components at DataLite?, but you can use any integration or DAO at your will.

ASV Toolbox is a modular collection of tools for the exploration of written language data. They work either on word lists or text and solve several linguistic classification and clustering tasks. The topics covered contain language detection, POS-tagging, base form reduction, named entity recognition, and terminology extraction. On a more abstract level, the algorithms deal with various kinds of word similarity, using pattern based and statistical approaches. The collection can be used to work on large real world data sets as well as for studying the underlying algorithms. The ASV Toolbox can work on plain text files and connect to a MySQL database. While it is especially designed to work with corpora of the Leipzig Corpora Collection, it can easily be adapted to other sources.

OpenIMAJ (Open Intelligent Multimedia in Java) is a collection of libraries and tools for multimedia analysis written in the Java programming language. OpenIMAJ intends to be the first truly complete multimedia analysis library and contains modules for analysing images, videos, text, audio and even webpages. The OpenIMAJ image and video analysis and feature extraction modules contain methods for processing visual content and extracting state-of-the-art features, including SIFT. The OpenIMAJ clustering and nearest-neighbour libraries contain efficient, multi-threaded implementations of clustering algorithms including Hierarchical K-Means and Approximate K-Means. The clustering library makes it possible to easily create visual-bag-of-words representations for images and video with very large vocabularies. The text-analysis modules contain implementations of a statistical language classifier and low-level processing pipeline. A number of modules deal with content creation, including interactive slideshows and animations. The hardware integration modules allow cross-platform integration with devices including webcams, the Microsoft Kinect, and even devices such as GPS's. OpenIMAJ also incorporates a number of tools to enable extremely-large-scale multimedia analysis using a distributed computing approach based on Apache Hadoop.