Showing 5 open source projects for "code blocks 17.12"

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    TimerOutputs.jl

    TimerOutputs.jl

    Formatted output of timed sections in Julia

    TimerOutputs.jl is a lightweight Julia package that provides a structured way to measure and report the execution time of different parts of code. It is particularly useful for performance profiling in scientific computing, allowing developers to annotate sections of code and generate readable timing summaries. TimerOutputs.jl supports nested timers and formatted output to both terminal and files, helping users easily identify bottlenecks in their programs.
    Downloads: 0 This Week
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  • 2
    Documenter.jl

    Documenter.jl

    A documentation generator for Julia

    A documentation generator for Julia. A package for building documentation from docstrings and markdown files.
    Downloads: 0 This Week
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  • 3
    OhMyREPL.jl

    OhMyREPL.jl

    Syntax highlighting and other enhancements for the Julia REPL

    OhMyREPL.jl is a Julia package that enhances the Julia REPL (Read-Eval-Print Loop) experience with syntax highlighting, bracket matching, prompt customization, and automatic indentation. It is designed to make the command-line interface more visually appealing and user-friendly, especially during interactive development and debugging. It runs entirely in the terminal and does not require external dependencies or GUI.
    Downloads: 0 This Week
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  • 4
    Gen.jl

    Gen.jl

    A general-purpose probabilistic programming system

    An open-source stack for generative modeling and probabilistic inference. Gen’s inference library gives users building blocks for writing efficient probabilistic inference algorithms that are tailored to their models, while automating the tricky math and the low-level implementation details. Gen helps users write hybrid algorithms that combine neural networks, variational inference, sequential Monte Carlo samplers, and Markov chain Monte Carlo. Gen features an easy-to-use modeling language for writing down generative models, inference models, variational families, and proposal distributions using ordinary code.
    Downloads: 1 This Week
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    Augmentor.jl

    Augmentor.jl

    A fast image augmentation library in Julia for machine learning

    ...Augmentor is a real-time image augmentation library designed to render the process of artificial dataset enlargement more convenient, less error prone, and easier to reproduce. It offers the user the ability to build a stochastic image-processing pipeline (or simply augmentation pipeline) using image operations as building blocks. In other words, an augmentation pipeline is little more but a sequence of operations for which the parameters can (but need not) be random variables, as the following code snippet demonstrates.
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