Search Results for "command line client" - Page 2
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Showing 40 open source projects for "command line client"
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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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The Varro toolkit is a system for identifying and frequently recurring unordered subtrees in semi-structured data. It is mostly for linguistics but has applications in semi-structured data mining too.
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This project is a python script to abstract S.M.A.R.T. messages from /var/log/messages (from the smartd daemon) into .csv file(s), one for each disk, suitable for graphing.
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This is a neat little tool to visualize binary data in a graphical form. It's really interesting to look at different types of files.
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The Simple Versatile Plotting (SVP) tools create camera-ready plots of performance analysis data gathered from high performance computing (HPC) applications.
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sarface is a user-interface to the sysstat/sar database which inputs data from sar and plots to a live X11 graph via gnuplot. It mimics the cmd-line options from sar but can cross-plot any two or more stats and apply simple mathematical functions them.
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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.
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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.
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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.
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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.
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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.
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Comparer is a document comparer program. The initial task of the comparer is to find the likeness of all documents given to it by generating a graph of all usable connections between documents.
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A tool for windows users, to determine the type of a file based on its content rather than it suffix.
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nBoost is a suite of boosting algorithms designed to solve binary classification problems on data that is not linearly separable by a convex combination of base hypotheses, i.e. noisy data. WARNING: Active development. Underlying algorithm is unstable.
