Search Results for "version"
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Showing 8 open source projects for "version"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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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. -
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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.
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ExPo: Exchange Portal is an online financial trading exchange platform designed to run controlled scientific trading experiments between human traders and automated trader robots.
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Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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Hollaka Hollala is a chatbot engine and IRC bot. The chatbot engine uses a knowledge base organized in an XML file and WordNet for dictionary lookup. The IRC Bot has some WordNet- and Web-based functionality and is hot-extensible through Ruby programs.
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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.
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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).
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