Search Results for "statistics" - Page 4
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Showing 83 open source projects for "statistics"
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Melis Platform is an enterprise-grade Low Code Platform simplifying app creation, management, and delivery.Melis is a new generation of Content Management System and eCommerce platform to achieve and manage websites from a single web interface easy to use while offering the best of open source technology.
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Manage your hosting business with our vacation rental softwareWhether you’re a new or established business, you can rely on Lodgify’s vacation rental property management software for support through every step of your journey.
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Retrieve statistics from SNMP-aware devices, store them in a database and graphically display them for monitoring and notification purposes.
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C and Python code for basic probability and statistics contains classes for Combination, Permutation, and Cartesian Product.
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This is a python module that I wrote for statistics work. It can be used to calculate various probability distributions.
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anny is an all-in-one platform for managing hybrid workplaces and shared resources.Enable your employees to easily book desks, meeting rooms, parking spots, equipment, and more – all in one place. With flexible rules and group permissions, you stay in full control of who can access what.
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PYthon RELiabilitY A python package implementing state-of-the-art numerical methods arising in the field of uncertainty quantification : from statistical inference to uncertainty propagation for various purposes.
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ExoPlanet
GUI based toolkit for running common Machine Learning algorithms.
ExoPlanet provides a graphical interface for the construction, evaluation and application of a Machine Learning model in predictive analysis. With the back-end built using the numpy and scikit-learn libraries, as a toolkit, ExoPlanet couples fast and well tested algorithms, a UI designed over the Qt4 framework, and graphs rendered using Matplotlib to provide the user with a rich interface, rapid analytics and interactive visuals. ExoPlanet is designed to have a minimal learning curve,... -
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The aim of our programm is to help lab on counting species and analyze the results with statistics tools.
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...trimAl implements a series of automated algorithms that trim the alignment searching for optimum thresholds based on inherent characteristics of the input alignment, to be used so that the signal-to-noise ratio after alignment trimming phase is increased. Among trimAl’s additional features, trimAl allows getting the complementary alignment (columns that were trimmed), to compute statistics from the alignment, to select the output file format , to get a summary of trimAl’s trimming in HTML and SVG formats, and many other options.
