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A Visual Studio .NET C++ application can perform machine learning using genetic algorithm, naive bayes, KNN, and Artificial Neural Networks (ANNs) read and processed from any standard ARFF.
Integer Singular Value Decomposition Genetic Algorithm Function Fitter. This is an optimization algorithm that performs a similar role to a neural network.
This project is java version of the SQL functions as defined by the Transact-SQL programming language for the MS SQL 2000. It is pure 100% Java implementation for the famous SQL Functions such as CONVERT, PATINDEX or DATEDIFF.
Picsart Enterprise Background Removal API for Stunning eCommerce Visuals
Instantly remove the background from your images in just one click.
With our Remove Background API tool, you can access the transformative capabilities of automation , which will allow you to turn any photo asset into compelling product imagery. With elevated visuals quality on your digital platforms, you can captivate your audience, and therefore achieve higher engagement and sales.
The SP is a tool is a tool to research for automatic synthesis of protocols using genetic programming. This tool will allow the construction of heuristics to apply techniques simulation and validation of models.
A p2p filesharing application, where every1 is forced to seed for a certain period and then every1 gets to download with a guaranteed number of seeders as well, for a certain perion of time.
Takthons provides container and manipulation services for evolved machine language routines. This allows the calling application to concentrate on the UI, the fitness evaluation and the genetic operations rather than the machine language details.
The SBMLevolver is an evolutionary algorithm package that creates SBML models with user-specified properties and behaviour from a given set of building blocks. Applications lie in network reconstruction and synthetic biology.
Cluster Analysis Wrapped Feature Subset Selection (CAWFSS) is a collection of feature subset selection algorithms which use various cluster analysis algorithms as wrappers.
The LisBON Framework is an adaptable framework for developing new parallel Memetic Algorithms (hybrid search algorithms for efficiently solving optimisation problems).