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    Dagger.jl

    Dagger.jl

    A framework for out-of-core and parallel execution

    Dagger.jl is a framework for out-of-core and parallel computing in Julia that allows users to construct and execute dynamic task graphs. It is designed for large-scale, distributed, and memory-efficient computations. Dagger supports lazy evaluation and scheduling across multiple threads or machines, enabling high-performance workflows for data processing, scientific computing, and machine learning.
    Downloads: 3 This Week
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    LazySets.jl

    LazySets.jl

    Scalable Symbolic-Numeric Set Computations

    ...Typically, one is confronted with a set-based recurrence with a given initial set and/or input sets, and for visualization purposes, the final result has to be obtained through an adequate projection onto low dimensions. This library implements types to construct set formulas and methods to efficiently and accurately approximate the projection in low dimensions.
    Downloads: 3 This Week
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