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Showing 8 open source projects for "numpy-mkl"

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  • 1
    scikit-learn

    scikit-learn

    Machine learning in Python

    scikit-learn is an open source Python module for machine learning built on NumPy, SciPy and matplotlib. It offers simple and efficient tools for predictive data analysis and is reusable in various contexts.
    Downloads: 15 This Week
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  • 2

    PDP-OmniSim

    PDP-OmniSim simulating parallel and distributed processing systems

    PDP-OmniSim 🧬 Scientific Overview PDP-OmniSim is an advanced computational framework for simulating parallel and distributed processing systems, with cutting-edge applications in computational neuroscience, distributed computing, and complex systems modeling. The framework provides researchers with robust tools for large-scale simulations of networked systems and their emergent behaviors. 🎯 Key Scientific Contributions 🔬 Interdisciplinary Research Domains Computational...
    Downloads: 0 This Week
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  • 3
    PyNanoLab

    PyNanoLab

    data analysis and Visualization with matplotlib

    PyNanoLab contains a variety of tools to complete the data analysis, statistics, curve fitting, and basic machine learning application. Visualization in pynanolab is based on matplotlib. The setup tools is desinged to control and set-up all the details of the figure with a GUI.
    Downloads: 1 This Week
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  • 4
    PySchool

    PySchool

    Installable / Portable Python Distribution for Everyone.

    PySchool is a free and open-source Python distribution intended primarily for students who learn Python and data analysis, but it can also used by scientists, engineering, and data scientists. It includes more than 150 Python packages (full edition) including numpy, pandas, scipy, sympy, keras, scikit-learn, matplotlib, seaborn, beautifulsoup4...
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    Downloads: 988 This Week
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  • 5

    Larch: Data Analysis for X-ray Spectra

    Data Processing and Analysis for X-ray Spectroscopy and More

    ...Larch has been primarily developed for dealing with x-ray spectroscopic and scattering data, especially the kind of data collected at modern synchrotrons and x-ray sources. Larch is written in Python and relies heavily on the standard tools for scientific computing with Python (numpy, scipy, matplotlib, and h5py).
    Downloads: 1 This Week
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  • 6

    BriPy

    A BRIC-seq data analysis package written in Python.

    ...In the future, it will provide several useful modules(e.g. calculating RPKM of each transcript from BAM file or ELAND output file). -Prerequisites To use BriPy package, you will need Python and the following extension packages. Python2.7 or higher NumPy SciPy Matplotlib
    Downloads: 0 This Week
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  • 7

    pygolem

    Python API for the GOLEM Tokamak discharge database

    This simple Python API aims to provide a simple and easy to understand access to the discharge database of the GOLEM Tokamak. The scipy, numpy and matplotlib Python libraries are used for data analysis and plotting.
    Downloads: 0 This Week
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  • 8
    QME-DEV Workbench (wxScipy) is a data analysis workbench based on Python, SciPy, Numpy and MatPlotLib(PyLab) and uses wxPython for the GUI. It can be used for non-linear analysis with a large set of experimental or generated data. Load/Acquire / Save/ Gr
    Downloads: 0 This Week
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