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Sinalgo is a simulation framework for testing and validating network algorithms. It allows for quick prototyping and verification in freely customizable network settings. It is mainly suited for packet-oriented wireless networks.
FastAOP is an very high performant AOP (Aspect Oriented Programming) framework for java. The framework was initially
developped to support performance profiling and monitoring for large J2EE applications with nearly no runntime overhad.
Announcement: jp-mobile and fastAOP will go mobile, please visit jp-mobile (GWT based) website at: http://code.google.com/p/jp-mobile/
The Gene Expression Programming Framework in Java.
It separates the process of evolution from the process of interpretation of the chromosome, allowing the use of various schemes in the chromosome.
a framework library with a template method interface and inheritable classes for an executable process design which produces an executable which is both a GUI and a console application. It provides multi-threading for work items of the provider process .
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This software is a Library for Adaptive Boosting (AdaBoost). It provides a generic framework for the study of the Boosting algorithms. The framework provides the different tasks for boosting: Learning, Validation, Test, Profiling and Performance Analysis
The Automatic Model Optimization Reference Implementation, AMORI, is a framework that integrates the modelling and the optimization processes by providing a plug-in interface for both. A genetic algorithm and Markov simulations are currently implemented.
Java Framework for automatic transformation of graph structured Process Models (incl. BPMN import) to block structured BPEL code. A graphical tool is provided for visualisation and testing.
TAROT is a easy-to-use framework for Monte Carlo simulations in python. Calculations between different kinds of randomly distributed numbers are made as easy as basic arithmetics. Tarot provides an interactive graphical interface for interpretation.
JCortex is a complete solution that allows software developers create, educate and use Artificial Neural Networks in Java projects. Splits in two elements: JCortex Framework, an ANN Java framework; and JCortexBuilder, its graphic development environment.
The Distributed Genetic Programming Framework is a scalable Java genetic programming environment. It comes with an optional specialization for evolving assembler-syntax algorithms. The evolution can be performed in parallel in any computer network.
CuberGA project is the flexible Genetic Algorithmsframework. Realize your ideas easy with deliveries of this project. Keywords: genetic algorithms, framework, permutation, mutation, crossover, genotype, selection, survival, Левченко Илья.
The PvtTable transforms a simple SQL consult into CrossTables not normalized. You can vary relationships between severals lines and columns more: http://en.wikipedia.org/wiki/Crosstab framework compatibility code 1.1Framework used 1.4
The Catalsyt Framework is a refinement on the MVC framework. It provides greater focus on user business workflow rather than application workflow. It's goal is to enable business analysis and developers to work closer.
LispSharp is a fully compiled lisp implementation for the .NET Framework.
It uses a Lisp dialect similar to ISO Lisp, it has a Command-line toplevel
compiler with Read Compile Print Loop.It references any .NET DLL and produces standard .NET assembly.
NESD-Imaging is a 2D rendering framework for Java. It combines JAI and Java2D and extends them by providing lazy rendering (do not block UI). It provides geo-positionned images rendering (à la google-map). It scales well to large image set (>500GB).
CoPP is an object-oriented framework for developing algorithms for robot path planning. One of of the design goals is to make it easy to make comparisons between various path planning algorithms.
Net4Native is a library that simulates some of the most useful Microsoft .Net classes in native Win32 Delphi. This allows programming with comfort without relying on the huge .Net framework and maintains source code compatibility between Win32 and .Net.
Currently, all existing formal tools are designed to serve as formal verifiers, using one implementation or another. NO tool is providing a global framework to develop algorithms.
Silicis is a new formal framework for designing [verification] algorithms.