Search Results for "zend framework 3"
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Showing 6 open source projects for "zend framework 3"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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OPTSYS Framework Optimization Suite
Software Framework for Combinatorial Optimization using Metaheuristics
Die OPTSYS Framework Optimization Suite ist nicht nur eine Optimierungssoftware, sondern darüber hinaus ein umfangreiches Softwareframework für die kombinatorische Optimierung mit einem besonderen Fokus auf heuristische Lösungsmethoden. Das Framework versteht sich als Expertensystem zur Abbildung von kombinatorischen Optimierungsproblemen und für die Umsetzung, Anwendung und Evaluierung von zugehörigen Lösungsmethoden. Aufgrund der vielfältigen Funktionen zur Evaluation eignet es sich... -
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HH-Evolver
A framework for domain-specific, hyper-heuristic evolution
HH-Evolver is a framework for domain-specific, hyper-heuristic evolution. HH-Evolver automates the design of domain-specific heuristics for planning domains. Hyper-heuristics generated by our tool can then be used with combinatorial search algorithms such as A* and IDA* for solving problems of the given domain. -
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...One of the reasons was to prepare artificial training and testing data. For this reason we finally created a very simple text to image converter. A Text to Image Converter. Systrem Requirement: .net Framework 4.0 and up 1. Select your Font Type, style and size. 2. First Browse your file, which will contain your text (Supporetd File Type .txt) 3. Select Single or Multi Line option. 4. Select Your output image type (Supported image type .bmp, .jpg and .png.). 5. Click Convert. 6. Folders will be created containing the images in .jpg/.bmp/.png/.tif format.
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CuberGA project is the flexible Genetic Algorithms framework. Realize your ideas easy with deliveries of this project. Keywords: genetic algorithms, framework, permutation, mutation, crossover, genotype, selection, survival, Левченко Илья.
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A .Net Library that lets you make full use of multi-core and multiprocessor computers. It is very efficient, and easily integrated into existing applications. It is modeled after the Parallel FX usage model, and is faster than the PFX too.
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