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Yet Another Python Interface to the UF sparsematrix collection
The package yaUFget is yet another interface to the collection of sparse matrices at the University of Florida for Python.
In contrast with the official Python interface it can be easily used as a package and can be imported to any place, obtains the updated index of matrices from the collection's web site and does not require MATLAB. The functionality of the MATLAB's interface UFget was preserved.
The JSparse Matrix Package, developed by Philipp Geigenmüller during an internship at the prudsys AG in Chemnitz, Germany, is an extension of the well-known Java Matrix Package (JAMA) and allows the use of sparse matrices and related algorithms.
This project attempts to create a functions library specialized in the computation of a sparseMatrix-Vector product on the GPU with float and double precision and their respective complex values.
A simple CUDA accelerated solver for general dimensional n-body problems. Currently only the conjugate gradient method has been implemented, but more will soon follow.
The Optimized Sparse Kernel Interface (OSKI) Library provides automatically tuned sparsematrix kernels, for use by solver libraries and applications. OSKI is part of the BeBOP project on performance tuning and analysis at U.C. Berkeley. (Go Bears!)
JMatrixView is aJava/Swing matrix viewer. It works with Colt matrix implementation. It features dynamically tunable row/column resolution and has been designed for sparsematrix.
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An ANN design/implementation focused to work with optimally with NEAT (http://www.cs.utexas.edu/users/kstanley/neat.html). Semiann uses a sparsematrix to fill out the nodes, connections, weights, biases and activation functions for an ANN.
MatGen is a matrix generator. It outputs matrices in MatrixMarket file format, taking as input a file describing the matrices´ properties. Currently it supports only random sparse matrices.