Search Results for "java midi"
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Showing 5 open source projects for "java midi"
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Process Street | Compliance Operations PlatformBring compliance and operations under one roof with an AI agent that automates workflows, policies that enforce rules, and a platform that delivers results.
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The leading LMS solution for mission critical learning needsStreamline and integrate your complex learning, compliance, content monetization, and external training capabilities while keeping your people safe and delivering profits with Seertech’s LMS solution.
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This application assists in generating pre-compositional material based on a computational interpretation of the 'Schillinger System of Musical Composition' (Schillinger 1946).
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Speedy Composer
Speedy Composer – Artificial Neural Network Melody Composer.
Thank you for your interest in Speedy Composer. Speedy Composer is an automated application for composing melodies for Speedy Net members. We recently made changes to the source code of Speedy Net, and converted it into the Python language and Django framework. Since Speedy Composer was originally written in PHP, it is not adapted to work with Speedy Net in its current form. So unfortunately we were forced to temporarily close the app Speedy Composer. But don't worry, we kept backups of all... -
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BlueJam is a Java-based algorithmic music composer that uses evolutionary techniques and heuristics. Originally intended to evolve solos on the blues scale. BlueJam interfaces with Pure-Data to give real-time output.
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musicomp is a program which most important element is an evolutionary algorithm which uses data mining methods as a fitness function to generate monophone melodies.
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Intelligent Automation Solutions Built for Modern Finance TeamsDigitally transform your business with workflow automation and integrated payment solutions. Digitally store and secure your data with advanced search and accessibility features that keeps your documents at the tip of your team’s fingers.
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Evomusic deals with automatic composition of music (midi-files) using evolutionary algorithms. Currently we are testing multiple approaches for doing this successfully, especially neural networks and/or algorithms based on simple music theory.
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