Brian is a simulator for spiking neural networks available on almost all platforms. The motivation for this project is that a simulator should not only save the time of processors, but also the time of scientists.
Brian is easy to learn and use, highly flexible and easily extensible. The Brian
... [More] package itself and simulations using it are all written in the Python programming language, which is an easy, concise and highly developed language with many advanced features and development tools, excellent documentation and a large community of users providing support and extension packages. [Less]
Pseudo-Random Number Generation library for GPGPU. ShoveRand provides both implementations of Pseudo-Random Number Generators for GP-GPU and also a framework allowing developers to easily add their own PRNGs to ShoveRand.
Historic Crossroads (histcross) is a semantic database designed for the research needs of historians. Essentially, it enables researchers to enter information into the database and link pieces of this information semantically to each other.
Parallel implementation of the famous MersenneTwister alogorithm relying on Boost/C++11 declination of the algorithm and the original Dynamic Creator algorithm from Makoto Matsumoto and Takuji Nishimura.
ThreadLocalRandom (java 7) rewriting replacing bad PRNG by statistically good ones and correcting bugs from the original implementation (initialization step).
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