Showing 3 open source projects for "clip-4-win"

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  • NeoLoad is a very comprehensive tool if you are looking for a performance test tool for web applications and other applications Icon
    Your applications are all built differently, but they all need to perform. NeoLoad simplifies and scales performance testing for everything, from APIs and microservices, to end-to-end application testing through innovative protocol and browser-based capabilities.
  • Let your volunteer coordinators do their best work. Icon
    Let your volunteer coordinators do their best work.

    For non-profit organizations requiring a software solution to keep track of volunteers

    Stop messing with tools that aren’t designed to amplify volunteer programs. With VolunteerMatters, it’s a delight to manage everything in one place.
  • 1
    Makie

    Makie

    Interactive data visualizations and plotting in Julia

    Makie is an interactive data visualization and plotting ecosystem for the Julia programming language, available on Windows, Linux, and Mac. The backend packages GLMakie, WGLMakie, CairoMakie and RPRMakie add different functionalities: You can use Makie to interactively explore your data and create simple GUIs in native Windows or web browsers, export high-quality vector graphics or even raytrace with physically accurate lighting. Choose one or more backend packages: GLMakie (interactive...
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  • 2
    NCDatasets.jl

    NCDatasets.jl

    Load and create NetCDF files in Julia

    NCDatasets allows one to read and create netCDF files. NetCDF data set and attribute list behave like Julia dictionaries and variables like Julia arrays. This package implements the CommonDataModel.jl interface, which means that the datasets can be accessed in the same way as GRIB files opened with GRIBDatasets.jl.
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  • 3
    AugmentedGaussianProcesses.jl

    AugmentedGaussianProcesses.jl

    Gaussian Process package based on data augmentation, and sparsity

    AugmentedGaussianProcesses.jl is a Julia package in development for Data Augmented Sparse Gaussian Processes. It contains a collection of models for different gaussian and non-gaussian likelihoods, which are transformed via data augmentation into conditionally conjugate likelihood allowing for extremely fast inference via block coordinate updates. There are also more options to use more traditional variational inference via quadrature or Monte Carlo integration.
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