What differs this project from others?

May 6, 2011 at 12:15 PM
Edited May 6, 2011 at 12:15 PM

Dear Sir,

What is the reason of this project? May be you should help other project?

Or to http://www.cleveralgorithms.com/ by implementing these on C#?

 

There are some.

On .NET open source:

http://accord-net.origo.ethz.ch/

http://www.aforgenet.com/

http://www.matthewajohnson.org/software/svm.html

http://www.heatonresearch.com/encog

http://sourceforge.net/projects/neurondotnet/

Properitary:

http://research.microsoft.com/en-us/um/cambridge/projects/infernet/default.aspx

http://research.microsoft.com/en-us/projects/sigma/

 

Wrappers:

http://pytools.codeplex.com/wikipage?title=NumPy%20and%20SciPy%20for%20.Net

http://leenissen.dk/fann/wp/

http://www.emgu.com/wiki/index.php/Tutorial#Machine_Learning_Examples

 

Machine Learning builded on top of http://en.wikipedia.org/wiki/List_of_numerical_libraries#.NET_Framework_Languages_C.23.2C_F.23_and_VB.NET

 

Java Machine Learning can be used through http://www.ikvm.net/

 

Thanks

Coordinator
May 6, 2011 at 4:19 PM

Thanks for the great question! The main difference is the approach. My library is specifically designed to do learning off of objects. An implicit conversion is done in order to make the learning accessible to anyone who understands object oriented programming.

Hope this helps!

May 30, 2011 at 4:56 PM

Yes, I was wondering the same.  I just watched the video from dnrtv.com and that was a question I had.  I am also curious how this would scale with large datasets.  I use encog but always good seeing different approaches.  Thank you for the good list of resources by the way.