AForge 2.2.2
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.
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Accord.Neuro
Contains neural learning algorithms such as Levenberg-Marquardt, Parallel Resilient Backpropagation, initialization procedures such as Nguyen-Widrow and other neural network related methods. This package is part of the Accord.NET Framework.
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2 |
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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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1 |
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Accord.Extensions.Imaging.AForgeInterop
Provides extensions for easy interoperability between generic image and AForge UnmanagedImage.
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1 |
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Accord.Imaging
Contains interest point detectors (SURF and FAST), image matching and image stitching methods. This package is part of the Accord.NET Framework.
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1 |
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Accord.Statistics
Contains probability distributions, statistical models and methods such as Linear and Logistic regression, Hidden Markov Models, (Hidden) Conditional Random Fields, Principal Component Analysis, Partial Least Squares, Discriminant Analysis, Kernel methods and functions and many other related techniques. This package is part of the Accord.NET Framework.
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1 |
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Accord.Controls
Histograms, scatterplots and tabular data viewers for scientific applications. This package is part of the Accord.NET Framework.
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1 |
This package has no dependencies.