Showing 2 open source projects for "machine learning python"

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  • Queue Management System for Busy Service Providers | WaitWell Icon
    Queue Management System for Busy Service Providers | WaitWell

    The queue management system that perfectly adapts to your workflows

    The queue management system that perfectly adapts to your workflows. Improve operational efficiency in weeks with the most configurable enterprise queue system.
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  • Werx is the best construction management app for contractors. Icon
    Werx is the best construction management app for contractors.

    Experience seamless project management with WERX, the ultimate solution for long-term and complex construction projects.

    Werx is the most affordable construction management software, starting at just $49/month. Designed for small to midsized contractors, Werx streamlines your business with flexible estimates, AIA billing, QuickBooks integration, and real-time labor tracking. Get paid faster with online payments via Stripe. Try it free for 30 days and see why Werx is the best value in the industry!
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  • 1
    MatrixOne

    MatrixOne

    Hyperconverged cloud-edge native database

    MatrixOne is a future-oriented hyperconverged cloud & edge native DBMS that supports transactional, analytical, and streaming workload with a simplified and distributed database engine, across multiple data centers, clouds, edges and other heterogeneous infrastructures. A monolithic database engine is designed to support hybrid workloads: transactional, analytical, streaming, time-series, machine learning, etc. MatrixOne supports seamless workload migration and bursting among different locations and infrastructures. MatrixOne provides industry-leading latency control with optimized consistency protocol. Accelerated queries supported by patented vectorized execution as well as optimal computation push-down strategies through factorization techniques. ...
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  • 2
    NoisePage

    NoisePage

    Self-Driving Database Management System

    NoisePage is a relational database management system (DBMS) designed from the ground up for autonomous deployment. It uses integrated machine learning components to control its configuration, optimization, and tuning. The system will support automated physical database design (e.g., indexes, materialized views, sharding), knob configuration tuning, SQL tuning, and hardware capacity/scaling. Our research focuses on building the system components that support such self-driving operations with little to no human guidance. ...
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