Showing 4 open source projects for "expect"

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    Metal.jl

    Metal.jl

    Metal programming in Julia

    With Metal.jl it's possible to program GPUs on macOS using the Metal programming framework. The package is a work in progress. There are bugs, functionality is missing, and performance hasn't been optimized. Expect to have to make changes to this package if you want to use it. PRs are very welcome. These requirements are fairly strict, and are due to our limited development resources (manpower, hardware). Technically, they can be relaxed. If you are interested in contributing to this, see this issue for more details. In practice, Metal.jl will probably work on any macOS 10.15+, and other GPUs that are supported by Metal might also function (if only partially), but such combinations are unsupported for now.
    Downloads: 5 This Week
    Last Update:
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  • 2
    Apexcharts.js

    Apexcharts.js

    Interactive JavaScript Charts built on SVG

    A modern JavaScript charting library that allows you to build interactive data visualizations with simple API and 100+ ready-to-use samples. Packed with the features that you expect, ApexCharts includes over a dozen chart types that deliver beautiful, responsive visualizations in your apps and dashboards. ApexCharts is an MIT-licensed open-source project that can be used in commercial and non-commercial projects. You can create a combination of different charts, sync them and give your desired look with unlimited possibilities. ...
    Downloads: 6 This Week
    Last Update:
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  • 3
    ThreadsX.jl

    ThreadsX.jl

    Parallelized Base functions

    ...All functions that exist directly under ThreadsX namespace are public API and they implement a subset of API provided by Base. Everything inside ThreadsX.Implementations is an implementation detail. The public API functions of ThreadsX expect that the data structure and function(s) passed as argument are "thread-friendly" in the sense that operating on distinct elements in the given container from multiple tasks in parallel is safe. For example, ThreadsX.sum(f, array) assumes that executing f(::eltype(array)) and accessing elements as in array[i] from multiple threads is safe.
    Downloads: 4 This Week
    Last Update:
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  • 4
    ngx-datatable

    ngx-datatable

    A feature-rich yet lightweight data-table crafted for Angular

    ngx-datatable is an Angular component for presenting large and complex data. It has all the features you would expect from any other table but in a light package with no external dependencies. The table was designed to be extremely flexible and light; it doesn't make any assumptions about your data or how you: filter, sort or page it. It was built for modern browsers using TypeScript, CSS3 and HTML5 and Angular 8.0.0. This is the sister project of the angular-data-table that is designed for Angular 1.x. ...
    Downloads: 6 This Week
    Last Update:
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