AForge 2.2.4
The AForge library is a core library of AForge.NET framework, which contains core classes used by other libraries of the framework and classes, which can be used independently for various purposes.
Showing the top 20 packages that depend on AForge.
| Packages | Downloads |
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Accord.MachineLearning
Contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.
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10 |
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Accord.MachineLearning
Contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.
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9 |
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Accord.Math
Contains a matrix extension library, along with a suite of numerical matrix decomposition methods, numerical optimization algorithms for constrained and unconstrained problems, special functions and other tools for scientific applications. This package is part of the Accord.NET Framework.
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9 |
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AForge.Math
The AForge.Math library contains set of math utilities, which are used by other AForge.NET framework's libraries or may be used individually.
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9 |
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Accord.MachineLearning
Contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.
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8 |
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Accord.Math
Contains a matrix extension library, along with a suite of numerical matrix decomposition methods, numerical optimization algorithms for constrained and unconstrained problems, special functions and other tools for scientific applications. This package is part of the Accord.NET Framework.
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8 |
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Accord.Math
Contains a matrix extension library, along with a suite of numerical matrix decomposition methods, numerical optimization algorithms for contrained and uncontrained problems, special functions and other tools for scientific applications. This package is part of the Accord.NET Framework.
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8 |
This package has no dependencies.