Showing 4 open source projects for "linear"

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  • 1
    Book4_Power-of-Matrix

    Book4_Power-of-Matrix

    Book_4_Matrix Power | The Iris Book: From Addition, Subtraction

    ...The material emphasizes geometric interpretation and visual reasoning, which makes abstract linear algebra topics more accessible to beginners and self-learners. The repository is continuously updated and intended to accompany the broader Visualize-ML learning ecosystem. Overall, it serves as a visually driven mathematical foundation for students preparing for data science and machine learning work.
    Downloads: 0 This Week
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  • 2
    xrayutilities

    xrayutilities

    a package with useful scripts for X-ray diffraction physicists

    ...It can read experimental data from several data formats (spec, edf, xrdml, ...); convert them to reciprocal space for arbitrary goniometer geometries and different detector systems (point, linear as well as area detectors); for further processing the data can be gridded (transformed to a regular grid). More detailed description as well as documentation can be found at webpage http://xrayutilities.sourceforge.io/. Downloads for windows can be found on http://pypi.python.org/pypi/xrayutilities Development is performed on github: https://github.com/dkriegner/xrayutilities
    Downloads: 6 This Week
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  • 3
    3d Linear Transformation Visualization

    3d Linear Transformation Visualization

    Visualize 3d linear transformations.

    A linear transformation is a function from one vector space to another that respects the linear structure of each vector space. For visualizing this we can transform a vector, but it has an obvious problem, because the linear transformation transform the whole space, not just the vector, in other words it transforms the basis vectors thus every vector in the space gets transformed too.
    Downloads: 0 This Week
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  • 4
    DeepLearning

    DeepLearning

    Deep Learning (Flower Book) mathematical derivation

    ...Finally, the Deep Learning book provides research directions covering theoretical topics including linear factor models, autoencoders, representation learning, structured probabilistic models, etc.
    Downloads: 3 This Week
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