Search Results for "mean, standard deviation"
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Showing 67 open source projects for "mean, standard deviation"
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HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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Streamline everything you do online when you install Shift and access thousands of apps without leaving your browser. Connect all of your Gmail, Outlook, and Office 365 accounts and manage everything from one centralized window. Build out your Shift browser with apps that integrate seamlessly so you have ultra-fast access to all the tools you use to stream, shop, work, browse, and stay connected. Shift brings it all together.
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Sweetviz
Visualize and compare datasets, target values and associations
... dataset) relates to other features. Sweetviz integrates associations for numerical (Pearson's correlation), categorical (uncertainty coefficient) and categorical-numerical (correlation ratio) datatypes seamlessly, to provide maximum information for all data types. Automatically detects numerical, categorical and text features, with optional manual overrides. min/max/range, quartiles, mean, mode, standard deviation, sum, median absolute deviation, coefficient of variation, kurtosis, skewness. -
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whylogs
The open standard for data logging
... mean, median, and standard deviation measures), the number of missing values, and a wide range of configurable custom metrics. By capturing these summary statistics, we are able to accurately represent the data and enable all of the use cases described in the introduction. -
3
DataFrame
C++ DataFrame for statistical, Financial, and ML analysis
... of analytical algorithms in the form of visitors. These are from basic stats such as Mean, and Std Deviation and return, … to more involved analysis such as Affinity Propagation, Polynomial Fit, and Fast Fourier transform of arbitrary length … including a good collection of trading indicators. You can also easily add your own algorithms. -
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Logrus
Structured, pluggable logging for Go
Logrus is a structured, pluggable logger for Go (golang) that is completely API compatible with the standard library logger. It encourages careful, structured logging through much more discoverable logging fields rather than long, unparseable error messages. This produces much more useful logging messages. Logrus is currently in maintenance mode, which means that new features will no longer be introduced. This does not mean however, that it is dead. It continues to be maintained for security... -
SKUDONET ADC, operates at the application layer, efficiently distributing network load and application load across multiple servers. This not only enhances the performance of your application but also ensures that your web servers can handle more traffic seamlessly.
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Benchee
Easy and extensible benchmarking in Elixir
Library for easy and nice (micro) benchmarking in Elixir. Benchee allows you to compare the performance of different pieces of code at a glance. It is also versatile and extensible, relying only on functions. There are also a bunch of plugins to draw pretty graphs and more! Benchee runs each of your functions for a given amount of time after an initial warmup, it then measures their run time and optionally memory consumption. It then shows different statistical values like average, standard... -
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jaggr
JSON Aggregation CLI
Jaggr is a command line tool to aggregate in real time a series of JSON logs. The main goal of this tool is to prepare data for plotting with jplot. So here we give a stream of real-time requests to jaggr standard input and request the aggregation of the code and latency fields. For the code, we request a histogram with some known error codes with an "other" bucket defined by *. The latency field is aggregated using minimum, maximum, and mean. In addition, @count adds an extra field indicating... -
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DSharpPlus
A .NET Standard library for making bots using the Discord API
All Nightly versions are available on Nuget as a pre-release. These are cutting-edge versions automatically built from the latest commit in the master branch in this repository, and as such always contains the latest changes. If you want to use the latest features on Discord, you should use the nightlies Despite the nature of pre-release software, all changes to the library are held under a level of scrutiny; for this library, unstable does not mean bad quality, rather it means that the API can... -
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SHAP
A game theoretic approach to explain the output of ml models
SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allocation with local explanations using the classic Shapley values from game theory and their related extensions. While SHAP can explain the output of any machine learning model, we have developed a high-speed exact algorithm for tree ensemble methods. Fast C++ implementations are supported for XGBoost, LightGBM, CatBoost, scikit-learn and pyspark... -
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Simple.css
Simple.css is a classless CSS template to make a good website
A classless CSS framework that makes semantic HTML look good. By classless I mean that there are no CSS classes anywhere in the CSS or the HTML. So your website can look just like this using plain old vanilla HTML. When starting a new project, I wanted a CSS framework that would get me up and running quickly, and give me something I could hack on. I got sick of all these giant frameworks that include everything but the kitchen sink, 90% of which I’ll never use. For example, the minified CSS... -
Deploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
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Iperf 2
A means to measure network responsiveness and throughput
Iperf here is a means of measuring networks - capacity & latency (including ECN) over sockets both TCP and UDP. The goals include maintaining an active iperf code base across a broad set of platforms and operating systems. This is a multi-threaded design that scales with the number of CPUs or cores within a system. It supports both high impact and low impact techniques to obtain and report network performance. Current release: 2.2.0, April 10, 2024 (2.2.1 per coming soon) About iperf 2... -
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async-std
Async version of the Rust standard library
async-std makes async programming foundations easy and approachable. Built-in Rust for speed and safety. -
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Java Tablesaw
Java dataframe and visualization library
... data visualization by providing a wrapper for the Plot.ly JavaScript plotting library. Here are a few examples of the new library in action. Descriptive stats: mean, min, max, median, sum, product, standard deviation, variance, percentiles, geometric mean, skewness, kurtosis, etc. Add tablesaw-core to your project. You can find the version number for the latest release in the release notes. -
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MeanOS
The smallest and the most powerful operating system.
The first decentralized, artificially intelligent, MEAN.js stack, operating system. Mean OS is the only operating system hosted anonymous using a P2P network and a suite of non-standard in-browser delivery mechanisms. Mean OS is specifically designed to support both Brave and Tor but is compatible with all other major browsers. Mean OS is Proud to be a BRAVE and TOR supporter, be free!! -
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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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RAPID Graphing Software for Technical Analysis of Stocks and Commodities
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GrainSizeTools script
A Python script for estimating the grain size from thin sections
Homepage & docs: http://marcoalopez.github.io/GrainSizeTools/ GrainSizeTools is a free, open-source, cross-platform script written in Python that provides several tools for (1) estimating average grain size in polycrystalline materials, (2) characterizing the nature of the distribution of grain sizes (either from apparent distributions or approximating 3D grain size distributions via stereology), and estimating differential stress via paleopizometers. The script requires as the input the... -
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Statistics for MySQL
Add more statistical functions to MySQL.
"Statistics for MySQL" provides additional statistical functions (like Pearson's coefficient of correlation) which are missing in MySQL. DLLs for 32 and 64bit Windows as well as makefiles for Linux are available. -
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kSEMAW
Spectro-Ellipsometric Measurement Analysis Workbench
kSEMAW is a workspace for the analysis of Spectrophotometric (SP), Ellipsometric (ELI) and Photothermal Deflection Spectroscopy (PDS) measurements. The letter “k” indicates the use of the Qt libraries. -
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MSP2MGF
Convert MSP files to MGF files - Only you know why
MSP2MGF processes MSP data files (NIST standard text files for searching) It: converts MSP data files into MGF files (mascot generic format)., produces a new file with the same name as your input file's, allows you to change the mapping of MGF fields into MGF fields, has a command line interface so you can pass files in programatically. You: either drag and drop MSP files onto the window, or pass filenames though a command line argument. Command line arguments... -
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Magic Mark Adjuster
A tool to adjust (curve) grades.
A tool for teachers/professors at secondary schools and universities. Helps adjust (or, curve) grades with a lot of flexibility by using a variety of methods. Marks are represented visually to simplify the process. Does not require deep knowledge of Excel. -
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statistico
Generation of statistical calculations.
Software tool for the generation of statistical calculations. Gets: variance, mean, mode (s), median, maximum, minimum, standard deviation. -
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Modlishka
Powerful and flexible HTTP reverse proxy
Modlishka is a powerful and flexible HTTP reverse proxy. It implements an entirely new and interesting approach of handling browser-based HTTP traffic flow, which allows to transparently proxy of multi-domain destination traffic, both TLS and non-TLS, over a single domain, without the requirement of installing any additional certificate on the client. What exactly does this mean? In short, it simply has a lot of potential, that can be used in many use case scenarios. Modlishka was written... -
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Peak List 2 MSP
Simple peak list to MSP file converter
Peak List 2 MSP takes your ascii mass/intensity pair list (or lists) and swaps them into MSP format (NIST standard text files for searching). It: takes lists from the clipboard (or drag and drop), sorts them by mass, normalises intensities, rejects below a cut off (that you define), adds MSP headers, puts the result back in the clipboard (or a file), has a command line interface so you can pass files in programmatically, has an api so you can call... -
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Myelin water atlas
Normative myelin water atlas for myelin distribution in the brain
Normative myelin water atlas was created by co-registering and averaging myelin images in MNI space from 50 healthy brains to depict the population mean and variability of the myelin content in the brain. The myelin images of individual subjects were acquired using myelin water imaging. Details about myelin water imaging technique and its analysis can be found here: https://mriresearch.med.ubc.ca/news-projects/myelin-water-fraction/. The created myelin water atlas with its standard deviation... -
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Vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python
Data science solutions, insights, dashboards, machine learning, deployment. We start at 100GB. Vaex is a high-performance Python library for lazy Out-of-Core data frames (similar to Pandas), to visualize and explore big tabular datasets. It calculates statistics such as mean, sum, count, standard deviation etc, on an N-dimensional grid for more than a billion (10^9) samples/rows per second. Visualization is done using histograms, density plots and 3d volume rendering, allowing interactive...