Search Results for "evolution"
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Showing 6 open source projects for "evolution"
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Award-Winning Medical Office Software Designed for Your SpecialtyRXNT is an ambulatory healthcare technology pioneer that empowers medical practices and healthcare organizations to succeed and scale through innovative, data-backed, AI-powered software.
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...This is achieved not through re-implementing Python, as Jython/JPython has done, but rather through interfacing at the native level in both Virtual Machines. Maintenance and evolution of the project has moved! please see http://www.jpype.org for the latest version
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The Clump language proposes a natural evolution of the basic Object-Oriented paradigm revisiting the duality existing between the data and the knowledge. This implies a design based on Class-Oriented and Pattern-Oriented approaches in a same language
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an integration framework for UML and MOF case tools based on Jini and SOAP. It exchanges models from ArgoUML, Poseidon, Rose, etc. as XMI (UML stored in XML), checks them and generates code. New services simply plug in and can be shared world-wide.
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Set of Java packages to apply Genetic Algorithms to any kind of problem. Various genetic operators are implemented and an example shows of how the system could be applied to digital circuit evolution.
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Rent Manager SoftwareRent Manager is award-winning property management software built for residential, commercial, and short-term-stay portfolios of any size. The program’s fully customizable features include a double-entry accounting system, maintenance management/scheduling, marketing integration, mobile applications, more than 450 insightful reports, and an API that integrates with the best PropTech providers on the market.
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Data Evolution for Java. Finch is a Data Transformation System based on JDBC and other Java blessed specifications. Finch is based on a component task architecture allowing users to create complex data manipulation jobs.
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Gnubert will be a system to use the power of many computers across the internet to solve problems using evolutionary techniques. Any user may define a problem and the system will attempt to solve it.
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