Showing 7 open source projects for "batch"

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  • 1
    EEGLAB

    EEGLAB

    EEGLAB is an open source signal processing environment

    EEGLAB is an open source, MATLAB-based interactive environment for analyzing electrophysiological signals such as EEG and MEG. It incorporates powerful tools for data import, preprocessing, independent component analysis (ICA), time-frequency analysis, artifact rejection, and visualization—all within a GUI framework that also supports scripting and plugin extensions. EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and Octave (command...
    Downloads: 5 This Week
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  • 2
    Kapacitor

    Kapacitor

    Open source framework for processing, monitoring, and alerting

    Open source framework for processing, monitoring, and alerting on time series data. Kapacitor is a real-time data processing engine for monitoring and alerting, specifically designed to work with time-series data from InfluxDB.
    Downloads: 0 This Week
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  • 3
    Apache InLong

    Apache InLong

    Apache InLong - a one-stop integration framework for massive data

    Apache InLong is a one-stop integration framework for massive data that provides automatic, secure and reliable data transmission capabilities. InLong supports both batch and stream data processing at the same time, which offers great power to build data analysis, modeling and other real-time applications based on streaming data. InLong (应龙) is a divine beast in Chinese mythology who guides the river into the sea, and it is regarded as a metaphor of the InLong system for reporting data streams. InLong was originally built at Tencent, which has served online businesses for more than 8 years, to support massive data (data scale of more than 80 trillion pieces of data per day) reporting services in big data scenarios. ...
    Downloads: 1 This Week
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  • 4
    SageMaker Spark Container

    SageMaker Spark Container

    Docker image used to run data processing workloads

    ...It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing. The SageMaker Spark Container is a Docker image used to run batch data processing workloads on Amazon SageMaker using the Apache Spark framework. The container images in this repository are used to build the pre-built container images that are used when running Spark jobs on Amazon SageMaker using the SageMaker Python SDK. The pre-built images are available in the Amazon Elastic Container Registry (Amazon ECR), and this repository serves as a reference for those wishing to build their own customized Spark containers for use in Amazon SageMaker.
    Downloads: 0 This Week
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  • 5
    OME-3DR

    OME-3DR

    3D cell reconstruction and quantitative analysis based on OME data

    ...OME-3DR is well modularized (for automation, three main menus integrate hundreds of sub-functions), easy to use and ingenious; indeed, after setting the corresponding parameters, batch processing is relatively straightforward when beginning the 3D model reconstruction...
    Downloads: 0 This Week
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  • 6
    XParallax viu

    XParallax viu

    Software for automated astrometry

    XParallax viu is a free software tool for automated astrometric data reduction of astronomic CCD images. It helps astronomers to perform an accurate astrometric reduction of dozens ore even hundreds of images which can be used in subsequent data analysis process. Fit headers generated by this software are fully compatible with other commonly used image utilities like SAO DS9 or Aladin Sky Atlas.
    Downloads: 0 This Week
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  • 7
    BigBang/Horizon is a proteomics data analysis pipeline with focus on the shotgun LC/MSMS workflow.
    Downloads: 0 This Week
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