Showing 6 open source projects for "data integration"

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  • 1
    SymbolicNumericIntegration.jl

    SymbolicNumericIntegration.jl

    SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

    SymbolicNumericIntegration.jl is a hybrid symbolic/numerical integration package that works on the Julia Symbolics expressions.
    Downloads: 0 This Week
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  • 2
    PyMC

    PyMC

    Bayesian Modeling and Probabilistic Programming in Python

    PyMC is a Python library for probabilistic programming focused on Bayesian statistical modeling and machine learning. Built on top of computational tools like Aesara and NumPy, PyMC allows users to define models using intuitive syntax and perform inference using MCMC, variational inference, and other advanced algorithms. It’s widely used in scientific research, data science, and decision modeling.
    Downloads: 1 This Week
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  • 3
    Mathematics Dataset

    Mathematics Dataset

    This dataset code generates mathematical question and answer pairs

    The Mathematics Dataset, developed by Google DeepMind, is a synthetic dataset designed to evaluate and train machine learning models on mathematical reasoning and symbolic manipulation. 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...
    Downloads: 2 This Week
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  • 4
    ICE (Interval Calculator for Engineer)

    ICE (Interval Calculator for Engineer)

    Interval Calculator for Engineer

    ICE is a simple mathematical calculator with very useful shortcuts for Engineer: works natively with tolerance, can run Monte Carlo analysis, uses engineer notation, includes most of the day by day functions used by engineers.
    Downloads: 0 This Week
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  • 5
    A More Accurate Fourier Transform

    A More Accurate Fourier Transform

    Computes Accurate Fourier Transform via Explicit Integration not FFT

    Fourier transform methods are used to analyze functions and data sets to provide frequencies, amplitudes, and phases of underlying oscillatory components. Fast Fourier transform (FFT) methods offer speed advantages over evaluation of explicit integrals (EI) that define Fourier transforms. It has been shown recently that EI methods can be more accurate than FFT methods (Courtney and Courtney, A More Accurate Fourier Transform) for scientific data analysis and that EI methods can be...
    Downloads: 0 This Week
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  • 6
    Integra is more than a function plotter. It evaluates expressions and creates dynamic 2D and rotatable 3D plots in a polar or cartesian coordinate system. Other features are integration, differentiation, various functions, ...
    Downloads: 0 This Week
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