About:
The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications even for commercial use. A comprehensive set of sample applications provide a fast start to get up and running quickly, and an extensive online documentation helps fill in the details.
Changes:
For a complete list of changes, please see the full release notes at the release details page at:
https://github.com/accord-net/framework/releases/tag/v3.8.0
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- Operating System:
Linux,
Windows,
Platform Independent
- Data Formats:
Matlab,
Agnostic,
Numpy,
Various,
Excel,
Mat,
Libsvm Format
- Tags:
Svm,
Kernel Methods,
Algorithms,
Classifiers,
Statistics,
Clustering Algorithm,
Probability Estimation,
Discriminant Analysis,
Wavelet Transform,
Principal Component Analysis,
Algebra,
Fourier,
Cluste
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