Showing 5 open source projects for "depth-violet"

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  • 1
    Computational Thinking

    Computational Thinking

    Introduction to computational thinking with Julia

    ...Using Julia, the course highlights both mathematical reasoning and practical coding, bridging the gap between theory and application. The materials include lectures, notebooks, exercises, and projects that encourage experimentation and discovery. By combining programming with conceptual depth, the repository aims to build skills that are transferable across disciplines and essential for modern scientific inquiry.
    Downloads: 5 This Week
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  • 2
    RCall.jl

    RCall.jl

    Call R from Julia

    ...Recently, the Julia language has become an attractive alternative because it provides the remarkable performance of a low-level language without sacrificing the readability and ease of use of high-level languages. However, Julia still lacks the depth and scale of the R package environment. This package, RCall.jl, facilitates communication between these two languages and allows the user to call R packages from within Julia, providing the best of both worlds. Additionally, this is a pure Julia package so it is portable and easy to use.
    Downloads: 0 This Week
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  • 3
    DecisionTree.jl

    DecisionTree.jl

    Julia implementation of Decision Tree (CART) Random Forest algorithm

    Julia implementation of Decision Tree (CART) and Random Forest algorithms.
    Downloads: 0 This Week
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  • 4
    Gaius.jl

    Gaius.jl

    Divide and Conquer Linear Algebra

    Gaius.jl is a multi-threaded BLAS-like library using a divide-and-conquer strategy to parallelism, and built on top of the fantastic LoopVectorization.jl. Gaius spawns threads using Julia's depth-first parallel task runtime and so Gaius's routines may be fearlessly nested inside multi-threaded Julia programs. Gaius is not stable or well-tested. Only use it if you're adventurous.
    Downloads: 0 This Week
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  • 5
    Temporal.jl

    Temporal.jl

    Time series implementation for the Julia language

    ...While still early in development, the overarching goal is for the class to be able to slice & dice data with the rapid prototyping speed of R's xts and Python's pandas packages, while retaining the performance one expects from Julia. See the documentation for a more in-depth look at the package and some of the pain points it may solve when doing technical research with time series data.
    Downloads: 0 This Week
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