Search Results for "mean"
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Showing 18 open source projects for "mean"
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Dshell
Dshell is a network forensic analysis framework
...Enables development of external plugin packs, allowing the sharing and installation of new, externally-developed plugins without overlapping the core Dshell libraries. Plugins can now use all output modules, available to the command line switch, -O. That does not mean every output module will be useful to every plugin (e.g. using netflow output for a plugin that looks at individual packets), but they are available. -
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seaborn
Statistical data visualization in Python
...Its plotting functions operate on dataframes and arrays containing whole datasets and internally perform the necessary semantic mapping and statistical aggregation to produce informative plots. Its dataset-oriented, declarative API lets you focus on what the different elements of your plots mean, rather than on the details of how to draw them. Behind the scenes, seaborn uses matplotlib to draw its plots. For interactive work, it’s recommended to use a Jupyter/IPython interface in matplotlib mode, or else you’ll have to call matplotlib.pyplot.show() when you want to see the plot. -
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Code_TYMPAN
Open source software calculating industrial noise in the environment
...It includes a solver based on ISO 9613 extended to industrial applications. In 4.2.x version, a Python API allows advanced users to build and solve models programmatically. By this mean, developers have the capability of building new tools with acoustic features with high productivity. Find useful resources in External Link : - Source Code, - User Documentation, - Developer Documentation, - DefaultSolver Note, - 9613Solver Note. -
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SAVA
A Signal Acquisition, Visualization & Analysis software
...Supports data exporting/importing to multiple file formats (H5, CSV, Matlab, txt) Raw and analyzed data can be visualized and inspected in real-time or via playback. Most traditional signal processing methods are available, such as trending (Mean, Peak, Min/Max, RMS, Variance, Kurtosis, Skew, MAD) and frequency domain analysis (FFT, FRF, Order Spectrum). For machinery/rotor dynamics impact testing, tacho, order tracking, order spectra, waterfall plots, orbit plots and bode plots are supported. -
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ALAMODE
Ab initio simulator for thermal transport and lattice anharmonicity
ALAMODE is designed for analyzing lattice anharmonicity and lattice thermal conductivity of solids. By using an external DFT package such as VASP and Quantum ESPRESSO, you can extract harmonic and anharmonic force constants straightforwardly with ALAMODE. Using the anharmonic force constants, you can also calculate lattice thermal conductivity from first principles. For more information about ALAMODE, please visit the following webpages: Documentation :... -
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Funi
Python script for calculation of deflection of elastic ropes.
...The graphics of deflections and tensions are shown with reference to X coordinate, while the graphic of stretches is shown with reference to the curvilinear coordinate. The solution is found by iteration, by mean of Scipy Minimize functions of Python, version 1.10. The results may be exported to .csv or .txt files. Gui is provided with tkinter windows. -
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rx2fits
HF/VHF spectrosopy code for the rx888mk2 direct-sampling receiver
rx2fits is an SDR code for the rx888mk2 direct-sampling receiver that streams spectral data with frequency up to 65 MHz to FITS files. This code is for the direct-sampling input of the receiver, which transmits real samples over USB3 at up to 130 MHz sample rate. rx2fits processes these samples to spectral intensities via a Fourier-transform poly-phase filter bank, which provides spectral resolution approaching the spectral bin width with good stop-band and adjacent-channel rejection. ... -
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Sezioni
Python tool for section property evaluation and stress calculation
...The section can be imported or input by points and then can be modified moved, rotated etc.. Area and section inertia can be exported. Loads can be applied (multiple load cases can be imported) and the related stresses are calculated by mean of De Saint Venant formulas. Results are plot with selectable color maps. Point results are listed and may be exported. Section can be also input in Nastran style and then exported to a .bdf format file. -
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Quantum Honeycomp
Interactive program to calculate electronic properties in graphene
...The code uses the tight binding approximation and it is able to stude in a 0D, 1D and 2D geometries, orbital and magnetic fields, intrinsic and extrinsic spin-orbit coupling, sublattice imbalance, and interactions at the mean field level. The most recent version can be found in https://github.com/joselado/quantum-honeycomp Example videos https://www.youtube.com/watch?v=8gO1yRmwgAs https://www.youtube.com/watch?v=FQlkqAW7Nhs https://www.youtube.com/watch?v=R7Kt3_DHTtM https://www.youtube.com/watch?v=tQKG_h0FaTM -
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Pyclamp
A Python package used to extract and analyse electrophysiological data
...Presently, Pyclamp is designed to perform very specific forms of analysis on evoked synaptic responses: Data analysis (under development) : This is a highly user-interactive en-vironment that can be used to discriminate synaptic events, obtain various measures of their kinetics and size, and output the results. Quantal analysis : This part of the package performs simple variance-mean analysis and Bayesian quantal analysis to estimate the quantal sizea dn number of release sites among other measures. -
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gtkhst is a collection of GLib2 objects to compute statistics (mean, variance, correlations) in 1 and 2 dimensions and a set of Gtk2 widgets to display 1D and 2D histograms as well as trace plots showing the evolution with time of the monitored quantity
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graphene-like-ribbons
Calculate electronic properties of graphene-like nanoribbons
User friendly interface for calculating electronic properties in graphene-like ribbons. The programs uses the tight binding approximation and mean field Hubbard model to predict electronic properties of graphene-like nanoribbons. See Discussion to ask questions or details Update: New versions of this program will be known as quantum-honeycomp -
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PyRadMon
Automated reporting of Geiger Muller counter readings to RadMon.org
This project includes several Python and bash scripts designed to connect Geiger Muller counters to report their results to RadMon.org. Soon the script will also feature local logging, graphing and alerting. Just because the Cold War is "over" does not mean that there is no more threat of a radiological attack. In fact, the U.S. Homeland Security Council lists the "Detonation of a 10 Megaton Improvised Nuclear Device" as "Scenario #1" among the top 15 threats to American security. Or, if you do not believe that a nuclear bomb is likely, what about all the Chernobyl-style Soviet-era nuclear power stations still in service? ... -
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math toolkit
A C++ and Python library for finance, statistics and linear algebra.
A lightweight C++ and Python library for finance, statistics and linear algebra. Finance features include compound rate present/future value, annuity, various present/future value coefficients ... Statistics features include mean, median, variance, standard deviation, covariance, correlation, linear regression, probabilities and random variates of various distributions ... Linear algebra features include matrix arithmetic, inverse, determinant, rank, linear system solution, lu/qr decomposition, svd, eigen values/vectors ... And some auxiliary features like random number generators, equation solution, numerical integration, permutation/combination and gcd/lcm etc. ... -
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... * tblred: compute ("reduce") aggregations (e.g., sum, average) over groups defined by key columns. * tbldesc: Summarize columns in file (e.g., proportion of character/numeric values, min/mean/median/max, missing values, correlation with a target column). * tbljoin: Relational join without the need of pre-sorting and column matching. * ... See HostedApps/MediaWiki for examples.
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imbatcher is an image batcher and rfl Registax Frame List creator that use an Mean Square Difference algorithm to separate images from the same set automatically .
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snlanalytic is a small Python script that takes a stem-and-leaf plot as input and returns basic statistics (sum, mean, median, mode) to the user.
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Python program for fitting rate constants to primarily kinetic data as 1st or 2nd order kinetics or autocatalysis. It also allows specific noise cancelling, data smoothing by fourrier transform, box averaging and flowing mean. For Python 2.6 or earlier.
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