Showing 5 open source projects for "python time series analysis"

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  • 1
    MuJoCo

    MuJoCo

    Multi-Joint dynamics with Contact. A general purpose physics simulator

    MuJoCo, developed and maintained by Google DeepMind, is a high-performance physics engine designed for simulating complex, articulated systems that interact through contact. It is widely used in research fields such as robotics, biomechanics, computer graphics, animation, and machine learning, where fast and accurate physics simulations are essential. The engine provides a robust C API optimized for real-time computation, making it suitable for scientific research and advanced simulation...
    Downloads: 8 This Week
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  • 2

    sidmon5.net

    Sudden ionospheric disturbance monitor with Stokes data product

    This package is a VLF receiver for monitoring VLF transmitter signals for evidence of transients indicating ionospheric disturbances, usually caused by x-ray bursts from the sun. It takes sample pairs from dual-channel sound cards and spectrally processes them to Stokes parameters. Data are plotted as time series and in scatter plots.
    Downloads: 0 This Week
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  • 3

    rx2fits

    HF/VHF spectrosopy code for the rx888mk2 direct-sampling receiver

    rx2fits is an SDR code for the rx888mk2 direct-sampling receiver that streams spectral data with frequency up to 65 MHz to FITS files. This code is for the direct-sampling input of the receiver, which transmits real samples over USB3 at up to 130 MHz sample rate. rx2fits processes these samples to spectral intensities via a Fourier-transform poly-phase filter bank, which provides spectral resolution approaching the spectral bin width with good stop-band and adjacent-channel rejection. ...
    Downloads: 0 This Week
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  • 4

    Tsf_Mdnnhn

    Time Series Forecasting.

    Implementation of algorithm allowing Time Series Forecasting.
    Downloads: 0 This Week
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  • 5
    LDT

    LDT

    Automatic Time Series Analysis with Stationary VAR Models

    LDT is designed for automatic time-series analysis. Current version focuses on stationary vector autoregressive models (VAR) and the related analyses such as forecasting and Granger causality. See the following paper for an application: See http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2818213
    Downloads: 0 This Week
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