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]
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]
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:
No Warning --
No Survivors."- Torpedo, Bad Company UK [Less]
The Kernel Source Archive aims to create a comprehensive archive of open source operating system kernels and related projects (such as boot-loaders). Rather than be intended as a general-purpose distribution point, the archive is pitched at interested parties, historical researchers and students who
... [More] wish to obtain sources which are no longer easily available, and track development and relationships over time. [Less]