Accord.NET 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 all top 5 Cited by 7 Authors 1 Arbabifard, Kamyar 1 Emerick, Alexandre Anozé 1 Gudivada, Venkat N. 1 Lima, Mateus M. 1 Litwiniuk, Bartosz 1 Ortiz, Carlos Enrique Pico 1 Pawlak, Tomasz P. Cited in 2 Serials 1 European Journal of Operational Research 1 Computational Geosciences Cited in 3 Fields 2 Computer science (68-XX) 1 Geophysics (86-XX) 1 Operations research, mathematical programming (90-XX) Citations by Year