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Accord.NET Framework

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  Analyzed 11 months ago

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. A comprehensive set ... [More] of sample applications provide a fast start to get up and running quickly, and an extensive online documentation helps fill in the details. [Less]

2.2M lines of code

15 current contributors

about 4 years since last commit

20 users on Open Hub

Activity Not Available
5.0
 
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SHOGUN

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  Analyzed 11 months ago

The SHOGUN machine learning toolbox's focus is on large scale kernel methods and especially on Support Vector Machines (SVM). It comes with a generic interface for SVMs, features several SVM and kernel implementations, includes LinAdd optimizations and also Multiple Kernel Learning algorithms. ... [More] SHOGUN also implements a number of linear methods. It allows the input feature-objects to be dense, sparse or strings and of type int/short/double/char. It provides efficient implementations several kernels but also linear methods, hidden markov models etc. and interfaces to matlab,octave,python,R and has a cmdline interface and allows C++ extensions via a library. [Less]

271K lines of code

24 current contributors

about 1 year since last commit

11 users on Open Hub

Activity Not Available
5.0
 
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xomb

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  Analyzed 11 months ago

XOmB is the code-name given to the 64-bit, D language exokernel written by University of Pittsburgh students. The aim is to build an OS from the ground up that is new and innovative, with a focus on developing for the future and avoiding legacy crap. Our release strategy will be as follows: ... [More] "No Provocation, No Warning -- No Survivors."- Torpedo, Bad Company UK [Less]

28.6K lines of code

0 current contributors

over 11 years since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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