Search Results for "development"

* Fast GPU linear algebra library (matrix maths) for the C++ language, aiming towards a good balance between speed and ease of use * Provides high-level syntax and functionality deliberately similar to Matlab * Provides an API that is aiming to be compatible with Armadillo for easy transition between CPU and GPU linear algebra code * Useful for algorithm development directly in C++, or quick conversion of research code into production environments * Distributed under the permissive Apache 2.0 license, useful for both open-source and proprietary (closed-source) software * Can be used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc * Downloads: http://coot.sourceforge.io/download.html * Documentation: http://coot.sourceforge.io/docs.html * Bug reports: http://coot.sourceforge.io/faq.html * Git repo: https://gitlab.com/conradsnicta/bandicoot-code

A Tiny Mathematical Speed Parser ATMSP is a portable C++ parser for mathematical expressions like "sin(x)+y^2" e.g. These may contain arbitrary numbers of functions, variables and constants. Major design goal was minimalistic size and maximum speed. Tiny 320 code-lines offer a parser plus bytecode-generator, 26 mathematical functions and 17 supported base-types including complex and arbitrary MPFR-multiprecision. Both parser and bytecode may run in threads. The usage of ATMSP is...

The Wolfram Machine project is an effort to create a set of documentation and useful modules (both hardware and software) for a computing architecture based on the mathematical theories presented in Steven Wolfram's book _A_New_Kind_of_Science_.

OpenAPL is an open-source APL (A Programming Language) implementation. APL's strength is in the ease with which a programmer can manipulate arrays of numbers or characters.

PBL (prounounced "pibble") is a general-purpose language targeted to SCADA applications (Systems Control And Data Acquisition).

Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.