Showing 6 open source projects for "java anomaly"

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  • Intelligent Retail Management Icon
    Intelligent Retail Management

    Retail space, product categories, planograms, automatic ordering, and shelf labels management

    Quant offers a wide range of solutions for retail. Within one integrated software system, it allows you to efficiently combine the management of retail space, shelf labels and marketing materials with task management, reporting and automatic replenishment.
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  • Parasoft: Automated Testing to Deliver Superior Quality Software Icon
    Parasoft: Automated Testing to Deliver Superior Quality Software

    Parasoft provides test automation for every phase of the software development life cycle.

    Parasoft helps organizations continuously deliver high-quality software with its AI-powered software testing platform and automated test solutions. Supporting the embedded, enterprise, and IoT markets, Parasoft’s proven technologies reduce the time, effort, and cost of delivering secure, reliable, and compliant software by integrating everything from deep code analysis and unit testing to web UI and API testing, plus service virtualization and complete code coverage, into the delivery pipeline. Bringing all this together, Parasoft’s award-winning reporting and analytics dashboard provides a centralized view of quality, enabling organizations to deliver with confidence and succeed in today’s most strategic ecosystems and development initiatives—security, safety-critical, Agile, DevOps, and continuous testing.
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  • 1
    Random Cut Forest by AWS

    Random Cut Forest by AWS

    An implementation of the Random Cut Forest data structure

    This repository contains implementations of the Random Cut Forest (RCF) probabilistic data structure. RCFs were originally developed at Amazon to use in a nonparametric anomaly detection algorithm for streaming data. Later new algorithms based on RCFs were developed for density estimation, imputation, and forecasting. The different directories correspond to equivalent implementations in different languages, and bindings to to those base implementations, using language-specific features for...
    Downloads: 3 This Week
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  • 2
    CAT

    CAT

    CAT is the basic component of the server project

    CAT is a distributed application performance monitoring and alerting system that specializes in tracking request flows, exceptions, and metrics across microservice ecosystems. It offers real-time dashboards showing throughput, response times, error rates, and service dependency graphs to help operations and development collaborate on reliability issues. In addition to metrics, it enables tracing—propagating context across RPC boundaries so problems like latency spikes or failed calls can be...
    Downloads: 0 This Week
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  • 3
    Open Source Data Quality and Profiling

    Open Source Data Quality and Profiling

    World's first open source data quality & data preparation project

    This project is dedicated to open source data quality and data preparation solutions. Data Quality includes profiling, filtering, governance, similarity check, data enrichment alteration, real time alerting, basket analysis, bubble chart Warehouse validation, single customer view etc. defined by Strategy. This tool is developing high performance integrated data management platform which will seamlessly do Data Integration, Data Profiling, Data Quality, Data Preparation, Dummy Data...
    Downloads: 0 This Week
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  • 4

    ilodids

    Incremental and local outlier detection

    Downloads: 0 This Week
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  • Create a personalized AI chatbot for each team in minutes Icon
    Create a personalized AI chatbot for each team in minutes

    Get better, faster answers for your whole team with an AI chatbot trained on your company documents.

    QueryPal is the lifeline your team needs. Our AI chatbot integrates seamlessly with your communication channels, using advanced language understanding to identify and auto-answer repetitive questions — in seconds.
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  • 5
    Downloads: 0 This Week
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  • 6
    Reimplementation of the anomaly detection/one-class classification algorithm 'V-detector'.
    Downloads: 0 This Week
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