Showing 4 open source projects for "double-entry"

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    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

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  • 1
    SWire

    SWire

    A Stata plugin for connecting Stata with other software

    ...SWire can be interrogated on a local network and it accepts AJAX queries, thus enabling the development of web applications which provide the user with graphical user interfaces. For example, a web application running on a browser can interact with Stata on a local network; this application could be a data entry form or an automatic report. By providing a communication protocol, SWire makes it possible to connect Stata with many other applications for data exchange and basic interaction, thereby extending the capabilities of Stata. SWire requires Stata >=13.
    Downloads: 0 This Week
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  • 2

    LightSpMV

    lightweight GPU-based sparse matrix-vector multiplication (SpMV)

    ...Performance evaluation reveals that on a single Tesla K40c GPU, LightSpMV is superior to both CUSP and cuSPARSE, with a speedup of up to 2.60 and 2.63 over CUSP, and up to 1.93 and 1.79 over cuSPARSE for single and double precision, respectively.
    Downloads: 1 This Week
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  • 3

    GADfit

    Global nonlinear optimization with automatic differentiation

    ...The model curves (fitting functions) can be of essentially arbitrary complexity. This includes any nonlinear combination of elementary and special functions, single and/or double integrals, and any control flow statement allowed by the programming language. See the latest user guide under Files.
    Downloads: 0 This Week
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  • 4
    KeplerDB

    KeplerDB

    Timeseries databases management system

    KeplerDB is a temporal database to store time/value entries where the type of value could be integer, float/double, boolean and string. KeplerDB is dedicated to be scalable and to create clusters of server allowing the user to analyse and store massing amount of data to monitor systems like computers, clusters, building and captors or financial systems like markets and accounts. The user can use KeplerDB to make data analysis on enormous amount of data (statistics and modelling).
    Downloads: 0 This Week
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