Hypertable is an open source project based on published best practices and our own experience in solving large-scale data-intensive tasks. Our goal is nothing less than that Hypertable become the world's most massively parallel high performance database platform.
Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. PHP, C++, .NET, Ada, Python, Delphi, Octave, Ruby, Prolog Pure Data and Mathematica bindings are available. A reference manual accompanies the library with examples and recommendations on how to use the library. A graphical user interface is also available for the library.
J. Alstott, E. Bullmore, and D. Plenz. (2013)cite arxiv:1305.0215Comment: 15 pages, 6 figures, supporting information at https://pypi.python.org/pypi/powerlaw.
C. Cattuto, D. Benz, A. Hotho, and G. Stumme. Proceedings of the 7th International Conference on The Semantic Web, page 615--631. Berlin, Heidelberg, Springer-Verlag, (2008)