Showing 7 open source projects for "mean"

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  • 1
    Flask

    Flask

    The Python micro framework for building web applications

    Flask is a lightweight WSGI web application framework designed to help developers get started with their web applications quickly and easily with the ability to scale up to complex applications. Being a “micro” framework does not mean that your whole web application must fit into a single Python file (although it can) or that it be limited; rather it means that Flask aims to keep the core simple but extensible. Flask offers suggestions, but it won’t make any decisions for you such as what database to use or what dependencies or project layout to choose. You get to choose the tools and libraries you want to use, so Flask can be everything you need and nothing you don’t. ...
    Downloads: 130 This Week
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  • 2
    Trellis

    Trellis

    WordPress LEMP stack with PHP 8.1, Composer, WP-CLI

    ...You don’t have to use brittle and confusing Bash scripts or worry about commands you found to copy and paste. Trellis is all about development & production parity. What does this mean? Your development virtual machine and your production are as similar as possible. This gives the confidence to know that if your WordPress site works in development, it will also work in production and you can deploy with confidence. trellis-cli provides a command-line interface (CLI) to manage Trellis projects via the `trellis` command with features.
    Downloads: 6 This Week
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  • 3
    Dshell

    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.
    Downloads: 0 This Week
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  • 4
    Frontend Regression Validator (FRED)

    Frontend Regression Validator (FRED)

    Visual regression tool used to compare baseline and updated instances

    ...FRED is responsible for automatic visual regression testing, with the purpose of ensuring that functionality is not broken by comparing a current(baseline) and an updated version of a website. The visual analysis computes the Normalized Mean Squared error and the Structural Similarity Index on the screenshots of the baseline and updated sites, while the visual AI looks at layout and content changes independently by applying image segmentation Machine Learning techniques to recognize high-level text and image visual structures. This reduces the impact of dynamic content yielding false positives. ...
    Downloads: 0 This Week
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  • 5
    Forecasting Best Practices

    Forecasting Best Practices

    Time Series Forecasting Best Practices & Examples

    Time series forecasting is one of the most important topics in data science. Almost every business needs to predict the future in order to make better decisions and allocate resources more effectively. This repository provides examples and best practice guidelines for building forecasting solutions. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in forecasting algorithms to build solutions and operationalize them. Rather than...
    Downloads: 0 This Week
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  • 6
    ...Instead of recording GUI mechanics directly, it asks the user for descriptive names and hence builds up a "domain language" along with a "UI map file" that translates it into the current GUI layout. The point is to reduce coupling, allow very expressive tests, and ensure that GUI changes mean changing the UI map file but not all the tests. Instead of an "assertion" mechanism, it auto-generates a log of the GUI appearance and changes to it. The point is then to use that as a baseline for text-based testing, using e.g. TextTest. It also includes support for instrumenting code so that "waits" can be recorded, making it far easier for a tester to record correctly synchronized tests without having to explicitly plan for this.
    Downloads: 0 This Week
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  • 7

    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. ...
    Downloads: 0 This Week
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