Search Results for "artificial intelligence based games source code" - Page 2
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Showing 37 open source projects for "artificial intelligence based games source code"
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CompLearn is a general-purpose compression-based machine learning system that uses data compression to learn or data mine patterns in arbitrary data.
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Convert copy. Pipes existing converter tools together to convert files from a format to another. E.g. add the converters 'pdf -> text' and 'text -> wav' and you can convert pdf to wav. Automatically installs missing converters in Debian.
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This XML-based language will allow easy creation and integration of Game Map and Object definitions for any game.
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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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The purpose of SNX is to have a modular series of components that report back to a central repository and 'AI' for pattern recognition and anomoly detection. This is to help with IDS systems, and to move to the next generation of security.
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A Ruby implementation of something RoboCode-like. Provides a game world in which AI(ish) bots can be pitted against each other. The world and the user-created bots are implemented in Ruby.
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Learner lets you teach a computer in plain English. You can teach both simple statements and ways of reasoning. Learner will ask you follow-up and new questions. See http://teach-computers.org (not yet active).
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A Ruby library with a powerful, high-level, general artificial intelligence engine. Sample implementations include a chatterbox and a mud bot.
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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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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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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A client side browser implementation of Tom Ray's Tierra Artificial Life simulator (http://en.wikipedia.org/wiki/Tierra_(computer_simulation)).
