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The project is in a very early state and the working parts aren't well tested! Currently it's possible to do basic calculations with multivectors. A lot of operators are overloaded so that you can write your calculations in C# source code almost like you would do in a math software. There is also an extension library providing a control which can visualize multivectors. Visualization is based on OpenGL through the OpenTK library. At the moment I'm working on improvements of the...

CRFSharp(aka CRF#) is a .NET(C#) implementation of Conditional Random Fields, an machine learning algorithm for learning from labeled sequences of examples. It is widely used in Natural Language Process (NLP) tasks, for example: word breaker, postagging, named entity recognized, query chunking and so on. CRF#'s mainly algorithm is the same as CRF++ written by Taku Kudo. It encodes model parameters by L-BFGS. Moreover, it has many significant improvement than CRF++, such as totally parallel encoding, optimizing memory usage and so on. Currently, when training corpus, compared with CRF++, CRF# can make full use of multi-core CPUs and only uses very low memory, and memory grow is very smoothly and slowly while amount of training corpus, tags increase. with multi-threads process, CRF# is more suitable for large data and tags training than CRF++ now. ...