Showing 4 open source projects for "data quality"

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  • 1
    J2ObjC

    J2ObjC

    A Java to iOS Objective-C translation tool and runtime

    J2ObjC is an open-source command-line tool from Google that translates Java source code to Objective-C for the iOS (iPhone/iPad) platform. This tool enables Java source to be part of an iOS application's build, as no editing of the generated files is necessary. The goal is to write an app's non-UI code (such as application logic and data models) in Java, which is then shared by web apps (using GWT), Android apps, and iOS apps. J2ObjC supports most Java language and runtime features required...
    Downloads: 1 This Week
    Last Update:
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  • 2
    GitLab CE Server For Local Intranets

    GitLab CE Server For Local Intranets

    The Free & Popular Community git Server in a Complete Virtual Machine

    This VM is created for 2 reasons: 1. Very little initial setup work required to make a GIT Server live, within minutes. 2. This system should keep running for Years, without requiring Updates / Breakages. If you are new to Virtual Machines, then please watch the Video below ( taken from my other project. just replace td with gi wherever mentioned ) After starting this VM, please login to its administration panel with: Website Address: https://gi.local/ ( Accept Any Warnings due to...
    Downloads: 3 This Week
    Last Update:
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  • 3
    Matrix

    Matrix

    Plugin style, non-invasive APM system developed by WeChat

    Matrix is an APM (Application Performance Manage) used in Wechat to monitor, locate and analyse performance problems. It is a plugin style, non-invasive solution and is currently available on iOS, macOS and Android. The monitoring scope of the current tool includes: crash, lag, and out-of-memory, which includes the following two plugins, WCCrashBlockMonitorPlugin, which is based on KSCrash framework and features cutting-edge lag stack capture capabilities with crash capture, and...
    Downloads: 0 This Week
    Last Update:
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  • 4
    abu

    abu

    Abu quantitative trading system (stocks, options, futures, bitcoin)

    ...The above system combines hundreds of seed quantitative models, such as financial time series loss model, deep pattern quality assessment model, long and short pattern combination evaluation model, long pattern stop-loss strategy model, short pattern covering strategy model, big data K-line pattern Historical portfolio fitting model, trading position mentality model, dopamine quantification model, inertial residual resistance support model, long-short swap revenge probability model, strong and weak confrontation model, trend angle change rate model, etc.
    Downloads: 0 This Week
    Last Update:
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