Search Results for "mac framework"

NOTE THAT THE SOURCE CODE AND ISSUE TRACKER HAVE NOW MOVED TO GITHUB. FIND US AT https://github.com/GateNLP/ GATE (General Architecture for Text Engineering) is an architecture, framework and development environment for developing, evaluating and embedding Human Language Technology. See http://gate.ac.uk for full details.

Limada (Linked Marked Data) is a framework for managing relationships of data in non-hierarchical structures, where the individual elements are interconnected in complex ways. The philosophy behind: Information is connection, is relationship of data.

A shell for using the methods of Contextual Logic to do qualitative data analysis, mathematical research on the theory underlying Conceptual Knowledge Processing, or learning Formal Concept Analysis. It uses the framework provided by the Tockit project..

CoRoPa stands for Computational Rough Paths. The aim of CoRoPa is to provide a software framework for various ideas related to Rough Path Theory, including rough differential equations and the digital description of serial data streams.

Gamera is a framework for the creation of structured document analysis applications by domain experts. It combines a programming library with GUI tools for the training and interactive development of recognition systems.

libcrn is document image processing library written in C++11 for Linux, Windows, Mac OsX and Google Android. It is a toolbox that allows to create easily software such as OCRs and layout analysis tools.

The Modular toolkit for Data Processing (MDP) is a Python data processing framework. From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex feed-forward network architectures. From the scientific developer's perspective, MDP is a modular framework, which can easily be expanded. The implementation of new algorithms is easy and intuitive. The...

The Orfeo Toolbox is a C++ library for high resolution remote sensing image processing. It is developped by CNES in the frame of the ORFEO program. More information is available at www.orfeo-toolbox.org It is based on the medical image processing library ITK and offers particular functionalities for remote sensing image processing in general and for high spatial resolution images in particular. Targeted algorithms for high resolution optical images (SPOT, Quickbird, Worldview, Landsat,...

KL1p is a portable C++ framework for handling sparse recovery of inverse problems of underdetermined linear systems, like in compressed sensing technique.

xBook is a common framework for several archaeo-related database applications developed and published by Ludwig Maximilian University of Munich. All database applications that are based on the framework (called Books) provide the same basic technical features, but each application can be extended individually. Especially the Synchronisation and the User Rights Management are strong features that allow creating backups and sharing your data to collaborate with other users. The...

Pyphant is a framework for scientific data analysis. It features a flexible plugin architecture allowing for the application in many different fields. For the analysis a graph of processing steps is constructed, that can be applied via the cli as well.

Framework for text mining, data integration and data analysis. Keywords: ontology and graph alignment, relation mining, warehouse, semantic database integration, bioinformatics, systems biology, microarray, Java.

BRAHMS is a Modular Execution Framework for dynamical systems. It knits together independently-authored software modules implementing dynamical processes into an integrated system, and supervises the deployment and execution of that system.

Darwin 2: Java Framework for Evolutionary Computation (genetic algorithm, GA). A true framework with out-of-the-box functionality and extensibility of all classes. Interface-based pattern with dependency-injection to configure components.

JBoost is a simple, robust system for classification. JBoost contains implementations of several boosting algorithms in an alternating decision tree framework. In addition, JBoost provides extensible software for adding more learning algorithms.

Semtinel is an application framework for the semi-automatic creation, maintenance and analysis of hierarchical concept schemes (thesaurus, classification or ontology). Semtinel supports the development of new analysis methods and visualization techniques

Apolda is a plugin for the Gate framework (see http://sourceforge.net/projects/gate/) that annotates texts with labels of concepts from an arbitrary OWL-ontology.

OpenEphyra is an open framework for question answering (QA). It retrieves answers to natural language questions from the Web and other sources. Visit http://www.ephyra.info/ for more details and information on joining this open research initiative.

Ferda is a user friendly data mining tool. It is a modular distributed multiplatform framework based on Internet Communications Engine. Ferda is very powerful in working with association rules.

Framework for uncertainty propagation in predictive models targeted for collaborative science

Cyberinfrastructure Shell (CIShell) is an open source, community-driven framework/application for the integration and utilization of datasets, algorithms, tools, and computing resources. Algorithms can be integrated using most programming languages.

JUNG provides a common and extendible language for the modeling, analysis, and visualization of data that can be represented as a graph or network. New version now available on GitHub: https://github.com/jrtom/jung/releases/tag/jung-2.1

Open extensible system analysis report tool for Java, based on numerous open source analysis initiatives. The XML/XSL batch-processing framework produces integrated HTML/SVG reports of the systems current state and the development over time.

National University Community Research Institute's NU KEEPERRHHATT Algorithmic Framework is a series of meta-algorithms based upon the Longest Hamiltonian Path Problem for finding high level explanations to social, economic and political behaviour.

This research project seeks to use compiler techniques to perform an attribute-based data-flow analysis on (MOF/UML)models allowing for a syntax-driven validation of a model's static semantics as well as an abstract interpretation of i dynamic behavior.