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Showing 3 open source projects for "computing"

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    Dask

    Dask

    Parallel computing with task scheduling

    Dask is a Python library for parallel and distributed computing, designed to scale analytics workloads from single machines to large clusters. It integrates with familiar tools like NumPy, Pandas, and scikit-learn while enabling execution across cores or nodes with minimal code changes. Dask excels at handling large datasets that don’t fit into memory and is widely used in data science, machine learning, and big data pipelines.
    Downloads: 2 This Week
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  • 2
    LIFELINES

    LIFELINES

    Survival analysis in Python

    ...The library includes estimators such as Kaplan-Meier, Nelson-Aalen, and regression-based survival models. It is designed to be accessible to Python users and works well with common scientific computing workflows. Built-in plotting methods and datasets help users explore survival curves and compare groups visually. It is a practical tool for analysts, researchers, and data scientists who need event-time modeling without leaving Python.
    Downloads: 0 This Week
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  • 3

    Raku-DSL-Shared

    Raku package for DSL shared utilities and grammar roles.

    ...Here are "the first wave" roles: Error handling role Common English terms and phrases role used in workflows from Machine Learning, Data Science, or Scientific Computing Predicate specification role
    Downloads: 0 This Week
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