Echoproc is a piece of scientific analysis software used to extract physical ice sheet characteristics from radio echograms from experiments like the Center for the Remote sensing of ice sheets (https://www.cresis.ku.edu/)
Methods and testing of methods for automatic analysis of in situ cyclic
voltammetry data.
This, at least initially, is the code from my masters thesis, which was
done as a contribution to a larger project called Aevum. Aevum is being
developed at t
FONZIE is a bioinformatic tool written in Python developed for the genetic cartography speciality. FONZIE allow as well to find markers on a set of sequences than to find associate oligonucleotides. http://www.biomedcentral.com/1756-0500/3/322/abstra
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PMML-compliant scoring engine and analytic toolkit
Augustus development has moved to google code. The new project page is augustus.googlecode.com. New releases of the project are not currently being released to sourceforge.
Augustus is designed for statistical and data mining models and produces and consumes models with 10,000s of segments.
Versions of Augustus support PMML 3, 4.0.1, and 4.1.
The Simple Versatile Plotting (SVP) tools create camera-ready plots of performance analysis data gathered from high performance computing (HPC) applications.
Using this plugin-based framework, you can instantly start working on the *brain* of your bot (irc bot, chatterbot, robot, ...). With support for db, irc, logging and programming-language independent plugins, users can easily enhance the functionality.
Poor Man's HPC is a framework that allows distributing and running code on a server farm. pmHPC is a scaled down and simplified version of distributed computing projects such as SETI, so is a perfect fit for enthusiasts and universities.
Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.
clusterviz allows to cluster three-dimensional data. The clustering process is visualized using OpenGL. As clustering algorithms the family of k-means algorithms is implemented, including mixture models.
This is a implementation of the 'enhanced Topic-based Vector Space Model' (eTVSM) using the python language. A Java-Version and maybe other java-code contributions are planned.
This program will calculate and output metrics on code written in Python. Reports can be generated in text- or XML-files. A plug-in system lets new metrics be added to the program. A set of built-in plug-ins with provide some of the most common metrics a