Showing 30 open source projects for "learning"

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  • Transforming NetOps Through No-Code Network Automation - NetBrain Icon
    Transforming NetOps Through No-Code Network Automation - NetBrain

    For anyone searching for a complete no-code automation platform for hybrid network observability and AIOps

    NetBrain, founded in 2004, provides a powerful no-code automation platform for hybrid network observability, allowing organizations to enhance their operational efficiency through automated workflows. The platform applies automation across three key workflows: troubleshooting, change management, and assessment.
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  • Workable Hiring Software - Hire The Best People, Fast Icon
    Workable Hiring Software - Hire The Best People, Fast

    Find the best candidates with the best recruitment software

    Workable is the preferred software for today's recruiting industry and HR teams, trusted by over 6,000 companies to streamline their hiring processes. Finding the right person for the job has never been easier—users now possess the ability to manage multiple hiring pipelines at once, from posting a job to sourcing candidates. Workable is also seamlessly integrated between desktop and mobile, allowing admins full control and flexibility all in the ATS without needing additional software.
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  • 1

    MarketSim

    A python based auction market simulator for agricultural trade

    The market assumes an environment in which farmers sell their produce through brokers and traders locate produce to buy through brokers. The major aim of the simulator is to experiment with various reputation mechanisms to manage bottlenecks and to model various adversarial scenarios. The market is aimed to simulate agricultural trade in developing countries. It is written in python and mysql database on Linux.
    Downloads: 0 This Week
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  • 2

    PyVision Computer Vision Toolkit

    A Python computer vision library

    PyVision is a object-oriented Computer Vision Toolkit for researchers that contains vision and machine learning algorithms and algorithm analysis and easily interfaces with scipy/numpy, PIL, opencv and other computer and machine learning libraries.
    Downloads: 0 This Week
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  • 3

    ProximityForest

    Efficient Approximate Nearest Neighbors for General Metric Spaces

    A proximity forest is a data structure that allows for efficient computation of approximate nearest neighbors of arbitrary data elements in a metric space. See: O'Hara and Draper, "Are You Using the Right Approximate Nearest Neighbor Algorithm?", WACV 2013 (best student paper award). One application of a ProximityForest is given in the following CVPR publication: Stephen O'Hara and Bruce A. Draper, "Scalable Action Recognition with a Subspace Forest," IEEE Conference on Computer...
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  • 4

    ktree

    clustering, machine learning, algorithms

    This project has moved to github at http://lmwtree.devries.ninja.
    Downloads: 0 This Week
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  • Contractor Foreman is the most affordable all-in-one construction management software for contractors and is trusted by contractors in more than 75 countries. Icon
    Contractor Foreman is the most affordable all-in-one construction management software for contractors and is trusted by contractors in more than 75 countries.

    For Residential, Commercial and Public Works Contractors

    Starting at $49/m for the WHOLE company, Contractor Foreman is the most affordable all-in-one construction management system for contractors. Our customers in 75+ countries and industry awards back it up. And it's all backed by a 100 day guarantee.
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  • 5
    This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.
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