Showing 9 open source projects for "post"

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  • 1
    SAVA

    SAVA

    A Signal Acquisition, Visualization & Analysis software

    A Signal Acquisition, Visualization & Analysis software application: * Signals, as in analog sensor data * Acquisition, as in data sampling/capturing/recording * Visualization, as in plotting raw/processed data * Analysis, as in live/post data processing Capabilities: The software has build in support for National Instruments Daq equipment (NI-DAQ) or it can load external source scripts (python), for customizable data sources. Supports data exporting/importing to multiple file formats (H5, CSV, Matlab, txt) Raw and analyzed data can be visualized and inspected in real-time or via playback. ...
    Downloads: 1 This Week
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  • 2
    LP CSIC/UAB Apps and Code

    LP CSIC/UAB Apps and Code

    Software and Code from Laboratori de Proteòmica CSIC/UAB

    Software, Code and Documents from Laboratori de Proteòmica CSIC/UAB ( LP-CSIC/UAB: http://proteomica.uab.cat )
    Downloads: 0 This Week
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  • 3

    ModST

    A tool to search post-translational modifications in a blind mode

    ModST (pronounced as modest) is a tool to search post-translational modifications (PTMs) in mass spectrometry data in an unrestrictive manner. It can search for hundreds of modification without any user provided information for variable modifications. Due to data level parallelization implemented through perl it is fast, portable and easy to use to identify and analyse PTMs in MS/MS data.
    Downloads: 0 This Week
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  • 4
    Reproducible-research

    Reproducible-research

    A Reproducible Data Analysis Workflow with R Markdown, Git, Make, etc.

    ...The workflow ensures meeting the primary goals that 1) the reporting of statistical results is consistent with the actual statistical results (dynamic report generation), 2) the analysis exactly reproduces at a later point in time even if the computing platform or software is changed (computational reproducibility), and 3) changes at any time (during development and post-publication) are tracked, tagged, and documented while earlier versions of both data and code remain accessible.
    Downloads: 0 This Week
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  • Stop Cyber Threats with VM-Series Next-Gen Firewall on Azure Icon
    Stop Cyber Threats with VM-Series Next-Gen Firewall on Azure

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  • 5
    Open Source Android Forensics Toolkit

    Open Source Android Forensics Toolkit

    OSAF-TK your one stop shop for Android malware analysis and forensics.

    Welcome to OSAF! The OSAF-Toolkit was developed, as a senior design project, by a group of IT students from the University of Cincinnati, wanting to pioneer and pave the way for standardization of Android malware analysis. The OSAF-Toolkit is built from Ubuntu 11.10 and pre-compiled with all of the tools needed to rip apart applications for code review and malware analysis. Our primary goal with the toolkit is to be able to make application analysis as easy as possible. We also wanted to...
    Downloads: 3 This Week
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  • 6
    BlogTEX is an ad-hoc blog posts extraction algorithm written in Java for TREC Blog08 dataset. It includes an optimized sentence model for clearly identifying sentence boundaries in each blog post. Its output can be customized using its config file.
    Downloads: 0 This Week
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  • 7
    RDMS is designed to enable accurate evaluations and assessments of research papers, either on an individual, institutional, or larger public multi-institutional instances, for aid with research projects such as PhD and post-doctoral work.
    Downloads: 0 This Week
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  • 8
    ...The workflow supports multiple responses to a single request, structure transforms, filters and request history access.Can talk with ordinary http servers (get and post)
    Downloads: 0 This Week
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  • 9
    ExoPlanet

    ExoPlanet

    GUI based toolkit for running common Machine Learning algorithms.

    ...ExoPlanet is designed to have a minimal learning curve, allowing researchers to focus on the applicative aspect of Machine Learning rather than their implementation details. It provides algorithms for unsupervised and supervised learning, which may be done with continuous or discrete labels. Post analysis, the toolkit further automates building the visual representations for the trained model.
    Downloads: 0 This Week
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