Description
Accord.NET is a machine learning framework for the .NET environment, providing libraries for the development and training of machine learning models. Additionally, it includes tools for audio and image processing, making it ideal for applications that require multimedia data analysis. Accord.NET supports a wide range of algorithms for classification, recommendations, regression, and other fields of machine learning, thus offering a comprehensive toolkit for developing intelligent applications.