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. (Source: http://freecode.com/)
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Pawlak, Tomasz P.; Litwiniuk, Bartosz: Ellipsoidal one-class constraint acquisition for quadratically constrained programming (2021)
- Lima, Mateus M.; Emerick, Alexandre A.; Ortiz, Carlos E. P.: Data-space inversion with ensemble smoother (2020)
- Gudivada, Venkat N.; Arbabifard, Kamyar: Open-source libraries, application frameworks, and workflow systems for NLP (2018)