Showing 12 open source projects for "math with python learn"

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  • 1
    HyperTools

    HyperTools

    A Python toolbox for gaining geometric insights

    HyperTools is a library for visualizing and manipulating high-dimensional data in Python. It is built on top of matplotlib (for plotting), seaborn (for plot styling), and scikit-learn (for data manipulation). Functions for plotting high-dimensional datasets in 2/3D. Static and animated plots. Simple API for customizing plot styles. Set of powerful data manipulation tools including hyperalignment, k-means clustering, normalizing and more.
    Downloads: 7 This Week
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  • 2
    Bayesian Optimization

    Bayesian Optimization

    Python implementation of global optimization with gaussian processes

    This is a constrained global optimization package built upon bayesian inference and gaussian process, that attempts to find the maximum value of an unknown function in as few iterations as possible. This technique is particularly suited for optimization of high cost functions, situations where the balance between exploration and exploitation is important. More detailed information, other advanced features, and tips on usage/implementation can be found in the examples folder. Follow the basic...
    Downloads: 6 This Week
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  • 3
    Matplotlib

    Matplotlib

    matplotlib: plotting with Python

    Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Matplotlib ships with several add-on toolkits, including 3D plotting with mplot3d, axes helpers in axes_grid1 and axis helpers in axisartist. A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a...
    Downloads: 9 This Week
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  • 4
    Euler Math Toolbox

    Euler Math Toolbox

    Numerical and Symbolic Math Tool

    Euler is a powerful all-in-one numerical software and includes Maxima for seamless symbolic computations. Euler supports Latex for math display, Povray for photo-realistic 3D scenes, Python, Matplotlib and C for scripting, and contains a full programming language. Features include libraries for numerical algorithms, optimization, plotting in 2D and 3D, graphics export, a complete help system, tutorials and examples. Euler runs in Windows natively, or in Linux via Wine. ...
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    Downloads: 30 This Week
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  • 5

    PLplot

    Cross-platform, scientific graphics plotting library

    PLplot is a cross-platform, scientific graphics plotting library that supports math symbols and human languages (via UTF-8 user input strings); plot capabilities for multiple non-interactive plot file formats and in multiple interactive environments; and bindings for multiple computer languages.
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    Downloads: 56 This Week
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  • 6
    ScikitLearn.jl

    ScikitLearn.jl

    Julia implementation of the scikit-learn API

    The scikit-learn Python library has proven very popular with machine learning researchers and data scientists in the last five years. It provides a uniform interface for training and using models, as well as a set of tools for chaining (pipelines), evaluating, and tuning model hyperparameters. ScikitLearn.jl brings these capabilities to Julia. Its primary goal is to integrate both Julia- and Python-defined models together into the scikit-learn framework.
    Downloads: 7 This Week
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  • 7
    Learn Julia the Hard Way

    Learn Julia the Hard Way

    Learn Julia the hard way

    The Julia base package is pretty big, although at the same time, there are lots of other packages around to expand it with. The result is that on the whole, it is impossible to give a thorough overview of all that Julia can do in just a few brief exercises. Therefore, I had to adopt a little 'bias', or 'slant' if you please, in deciding what to focus on and what to ignore. Julia is a technical computing language, although it does have the capabilities of any general-purpose language and...
    Downloads: 3 This Week
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  • 8
    StellarGraph

    StellarGraph

    Machine Learning on Graphs

    ...StellarGraph is built on TensorFlow 2 and its Keras high-level API, as well as Pandas and NumPy. It is thus user-friendly, modular and extensible. It interoperates smoothly with code that builds on these, such as the standard Keras layers and scikit-learn.
    Downloads: 0 This Week
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  • 9
    AnyWave is a multi-platform software designed for neurologists and researchers who want to visualise and apply signal processing on electrophysiological signals. AnyWave can handle EEG, SEEG, MEG and more. MATLAB/Python/C++ plugins can be added. See this wiki section to learn how to build AnyWave on Linux : http://meg.univ-amu.fr/wiki/AnyWave:BuildSDK
    Downloads: 0 This Week
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  • 10
    This is a sophisticated & integrated simulation and analysis environment for dynamical systems models of physical systems (ODEs, DAEs, maps, and hybrid systems). It supports symbolic math, optimization, continuation, data analysis, biological apps...
    Downloads: 2 This Week
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  • 11
    ILNumerics.Net
    math lib for .NET. n-dim arrays, complex numbers, linear algebra, FFT, sorting, cells- and logical arrays as well as 3D plotting classes help developing algorithms on every platform supporting .NET. Sources from SVN, binaries: http://ilnumerics.net
    Downloads: 0 This Week
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  • 12
    Easy-to-learn interactive 2d plot program. Can overlay images, xy-data, and mathematical functions. Function parameters can be tuned with sliders; functions can also be automatically fitted to data. Written in Python, cross-platform, but currently broken
    Downloads: 0 This Week
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