Showing 6 open source projects for "learn"

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  • 1
    Mathematics Dataset

    Mathematics Dataset

    This dataset code generates mathematical question and answer pairs

    ...It generates question-and-answer pairs across a wide range of mathematical topics typically found in school-level curricula, testing a model’s ability to reason about algebra, arithmetic, calculus, probability, and more. Each question is programmatically generated with structured templates to ensure clear logic and reproducibility. The dataset enables models to learn mathematical problem-solving through examples that involve both numeric and symbolic reasoning. Version 1.0 includes over 2 million examples per category, with training splits labeled as “easy,” “medium,” and “hard,” supporting curriculum-based learning strategies. The data can be accessed via PyPI or generated locally using provided Python scripts, with outputs formatted for direct use in training or evaluation pipelines.
    Downloads: 4 This Week
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  • 2
    SOFA is a statistics, analysis, and reporting program with an emphasis on ease of use, learn as you go, and beautiful output.
    Downloads: 46 This Week
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  • 3
    Awesome Math

    Awesome Math

    This is the Curriculum for "How to Learn Mathematics Fast"

    ...The structure is useful both for newcomers who want a starting plan and for practitioners filling specific gaps before tackling ML or deep learning. Overall, it acts as a compact study plan that turns “learn math” from a vague goal into a concrete, achievable path.
    Downloads: 0 This Week
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  • 4
    DragonFire is a compilation of various mathamatical formulas and theorms from algebra (and soon, Calculus). It shows users the formula for them to learn/use, or lets them enter data for DragonFire to compute.
    Downloads: 0 This Week
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  • 5
    Symath is a symbolic algebra utility that manipulates expressions as you would by hand. The aim is to provide a utility for students to use to solve complex systems as well as learn how it is done.
    Downloads: 0 This Week
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  • 6
    ExoPlanet

    ExoPlanet

    GUI based toolkit for running common Machine Learning algorithms.

    ExoPlanet provides a graphical interface for the construction, evaluation and application of a Machine Learning model in predictive analysis. With the back-end built using the numpy and scikit-learn libraries, as a toolkit, ExoPlanet couples fast and well tested algorithms, a UI designed over the Qt4 framework, and graphs rendered using Matplotlib to provide the user with a rich interface, rapid analytics and interactive visuals. ExoPlanet is designed to have a minimal learning curve, allowing researchers to focus on the applicative aspect of Machine Learning rather than their implementation details. ...
    Downloads: 0 This Week
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