Showing 5 open source projects for "fitting"

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  • Nectar: Employee Recognition Software to Build Great Culture Icon
    Nectar: Employee Recognition Software to Build Great Culture

    Nectar is an employee recognition software built for the modern workforce.

    Our 360 recognition & rewards platform enables everyone (peer to peer & manager to employees alike) to send meaningful recognition rooted in core values. Nectar has the most extensive rewards catalog so users can choose from company branded swag, Amazon products, gift cards or custom reward types. Integrate with your other tools like Slack and Teams to make sending recognition easy. We support top organizations like MLB, SHRM, Redfin, Heineken and more.
  • Free and Open Source HR Software Icon
    Free and Open Source HR Software

    OrangeHRM provides a world-class HRIS experience and offers everything you and your team need to be that HR hero you know that you are.

    Give your HR team the tools they need to streamline administrative tasks, support employees, and make informed decisions with the OrangeHRM free and open source HR software.
  • 1
    Polynomials.jl

    Polynomials.jl

    Polynomial manipulations in Julia

    Basic arithmetic, integration, differentiation, evaluation, root finding, and fitting for univariate polynomials in Julia.
    Downloads: 0 This Week
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  • 2
    BasicBSpline.jl

    BasicBSpline.jl

    Basic (mathematical) operations for B-spline functions

    Basic (mathematical) operations for B-spline functions and related things with Julia.
    Downloads: 0 This Week
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  • 3
    Lasso.jl

    Lasso.jl

    Lasso/Elastic Net linear and generalized linear models

    Lasso.jl is a pure Julia implementation of the glmnet coordinate descent algorithm for fitting linear and generalized linear Lasso and Elastic Net models.
    Downloads: 0 This Week
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  • 4
    GMT.jl

    GMT.jl

    Generic Mapping Tools Library Wrapper for Julia

    The Generic Mapping Tools, GMT, is an open source collection of tools for manipulating geographic and Cartesian data sets (including filtering, trend fitting, gridding, projecting, etc.) and producing PostScript illustrations ranging from simple x–y plots via contour maps to artificially illuminated surfaces and 3D perspective views. This link will take you to an impressive collection of figures made with GMT. The GMT Julia wrapper was designed to work in a way the close as possible...
    Downloads: 0 This Week
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  • AI-based, Comprehensive Service Management for Businesses and IT Providers Icon
    AI-based, Comprehensive Service Management for Businesses and IT Providers

    Modular solutions for change management, asset management and more

    ChangeGear provides IT staff with the functions required to manage everything from ticketing to incident, change and asset management and more. ChangeGear includes a virtual agent, self-service portals and AI-based features to support analyst and end user productivity.
  • 5
    Mixed-effects models in Julia

    Mixed-effects models in Julia

    A Julia package for fitting (statistical) mixed-effects models

    This package defines linear mixed models (LinearMixedModel) and generalized linear mixed models (GeneralizedLinearMixedModel). Users can use the abstraction for statistical model API to build, fit (fit/fit!), and query the fitted models. A mixed-effects model is a statistical model for a response variable as a function of one or more covariates. For a categorical covariate the coefficients associated with the levels of the covariate are sometimes called effects, as in "the effect of using...
    Downloads: 0 This Week
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