swMATH ID: 5891
Software Authors: Cesar Souza; Andrew Kirillov; Marcos Diego Catalano; et.al
Description: 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 documentation and wiki helps fill in the details.
Homepage: http://accord-framework.net/
Source Code:  https://github.com/accord-net/framework
Programming Languages: .NET, C#
Keywords: machine learning; computer vision; svm; Statistics; Mathematics; Neural Networks; crf; hcrf; kinect
Related Software: Orange4WS; Phrasal; zymake; CNTK; MXNet; StanfordCoreNLP; Caffe; MLlib; Dlib-ml; Orange; Moses; MALLET; Scikit; topicmodels; RCV1; WEKA; Torch; LIBSVM; NLTK; PRMLT
Cited in: 3 Documents

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