Search Results for "open-vm-tools" - Page 5
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Showing 186 open source projects for "open-vm-tools"
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Everyday Software for the Researcher of Restricted Means: This project is intended to offer scientists and students with small budgets advanced versions of aqua-built desktop-editing, graphics and statistical applications for MacOSX.
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pygpr is a collection of algorithms that can be used to perform Gaussian process regression and global optimization.
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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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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Augustus
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. -
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Helps compatibility with Vernier's Graphical Analysis and Logger Pro software. Includes a converter to extract important data out of Vernier .ga3 and .cmbl data files, and spreadsheet to analyze the data with tables, graphs, and curve fitting.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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StrATo (Strain Analysis Tool) loads GE Vingmed heart strain value reports file and performs a statistical peak analysis and curve uniformity evaluation, cutting off sampled noise, plotting results and offering a printout to attach in medical reports.
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A lightweight, browsing-based, 100% Python, federated data integration framework. Users may create custom schemas for disparate sources, query and expand results across sources to find related data; for use in fields such as bioinformatics and datamining
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Cotnatex is a cognate - tool for the university of Heidelberg. Written by Peter Kostadinov and Dyanko Dyankov.
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ThoughtFlow-Sys is a new computer neuropsychological test developed in Python to study the verbal expression of thought flow, using a modification of Jung´s Word-Association Test. © 2008 - UNIFESP / Rodrigo C. Vertulo / Prof. Dr. Carlos J. R. Campos
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The Stats Jam project is an extension to Mediawiki that allows users to embed database queries and visualisations into their wiki pages.
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The Model Interaction Environment for Neuroscience provides tools for development, searching, editing, execution, and visualization of biophysical models, abstract mathematical models, and experimental protocols used in neuroscience research.
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This is a Python package designed to process Penn Treebank Release II-style combined trees (.mrg files) into useful objects for tree traversal, feature extraction, and statistical analysis. For more information, go to http://mrgutils.sourceforge.net
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The Serial Data Acquisition is a lightweight data acquisition system able to parse a vast majority of mostly unidirectional streams. Results are saved in a SQLite DB and accessible over XML-RPC or plain HTTP. Its design is modular and easily extendable.
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Egotistics is a social network analysis program that allows users to simultaneously explore multiple personal networks (called 'ego networks').
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The Toolkit for Advanced Discriminative Modeling (TADM) is a C++ implementation for estimating the parameters of discriminative models, such as maximum entropy models. It uses the PETSc and TAO toolkits to provide high performance and scalability.
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