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Scientific computing, machine learning and computer vision for .NET
The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono.
This is home of the Generic Object Role Modeling Meta-Model (gORMmm). This ORM metamodel is designed as a software independent ORM metamodel for software developers/researchers of first-order logic, conceptual modeling, and artificialintelligence.
A .Net Library that lets you make full use of multi-core and multiprocessor computers. It is very efficient, and easily integrated into existing applications. It is modeled after the Parallel FX usage model, and is faster than the PFX too.