Showing 5 open source projects for "student-management-system"

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  • 1
    Sublayer

    Sublayer

    A model-agnostic Ruby Generative AI DSL and framework

    Sublayer is a platform that enables developers to build and deploy machine learning models with ease, focusing on simplifying the ML lifecycle from development to production.
    Downloads: 6 This Week
    Last Update:
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  • 2
    Huginn

    Huginn

    Create agents that monitor and act on your behalf

    Huginn is an open-source system for building agents that perform automated tasks by monitoring websites, APIs, emails, and more. Inspired by IFTTT, Huginn lets users create complex workflows and conditional logic to react to events and manage data. It’s self-hosted, highly customizable, and suitable for developers who want full control over automation without relying on third-party platforms.
    Downloads: 1 This Week
    Last Update:
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  • 3
    Spark - A generic physical simulator
    Spark is a physical simulation system. The primary purpose of this system is to provide a *generic* simulator for different kinds of simulations. In these simulations, agents can participate as external processes.
    Downloads: 2 This Week
    Last Update:
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  • 4
    Prastava (hindi for "suggestion") - a generic open source recommendation system built entirely in ruby. This system gives recommendations to users on the basis of their past likings (ratings of items) and an item file(for content based similarity).
    Downloads: 0 This Week
    Last Update:
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    Enterprise-grade ITSM, for every business

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    Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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  • 5
    This is a recommendation system built in ruby which is able to generate recommendations for user inputted data (a text file and a ratings matrix). It works on a hybrid model of collaborative filtering and content based filtering.
    Downloads: 0 This Week
    Last Update:
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