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The Customizable Caching Framework provides a basic but robust implementation of a cache with expiry and memory management features. It also provides entry points to populate the cache, making it reusable in several applications.
A histogram library for Java that accepts large datasets with any distribution or range with a very small memory footprint, needs no pre- or post-processing, and provides several statistical functions.
High-performance computing code and libraries used in the High Performance Computing subject in Telecommunications Engineering at the University of Granada (http://geneura.ugr.es/~jmerelo/asignaturas/AAP)
A standalone, STL interface to the Torch library's Support Vector Machine (SVM). It supports single or multiclass (one vs. all) classification using dot product, polynomial, Gaussian and sigmoid kernels.
Takthons provides container and manipulation services for evolved machine language routines. This allows the calling application to concentrate on the UI, the fitness evaluation and the genetic operations rather than the machine language details.
A Visual Studio .NET C++ application can perform machine learning using genetic algorithm, naive bayes, KNN, and Artificial Neural Networks (ANNs) read and processed from any standard ARFF.
The aim is to develop a foundation for a FPGA hardware platform able to run Linux kernel and software. It must be easy to add hardware accelerated ip-cores to the FPGA. Ethernet and TCP/IP is a corner stone of the hardware and software.
this library implements distributing algorithms for genuine computational POJOs (aka. jobs dispatching). it deals with reliability, synchronization and ordering. it has well defined api targeted at easy integration within existing code.