Music Generation
Showing 15 of 15 projects
A transformer-based text-to-audio model that generates realistic multilingual speech, music, and sound effects.
A research project exploring machine learning for generating music, images, and art using deep learning and reinforcement learning.
A library of differentiable digital signal processing functions for interpretable audio synthesis in deep learning models.
A curated list of scientific articles, theses, and reports on deep learning applied to music information retrieval and generation.
A collection of TypeScript libraries for music and art generation using pre-trained machine learning models in the browser.
A recurrent neural network that generates classical music using LSTM layers and convolutional-inspired architecture.
A Python SDK for building music algorithms and AI models as plugins for the TuneFlow DAW.
A Python project for algorithmic music generation using recurrent neural networks.
A Rust library and CLI for programmatic music theory, enabling note, chord, and scale generation with MIDI export and playback.
Go library providing music theory models for notes, scales, chords, and keys with a command-line utility.
A micro-library for loading, playing, and generating sound effects and music for games and interactive applications.
A curated collection of tools, languages, and libraries for music programming, algorithmic composition, and audio synthesis.
Algorithmic composition software in Common Lisp and CLOS for generating music scores, MIDI, and sound files.
A Common Lisp and CLOS package for algorithmic composition, generating sound files, MIDI, and scores in multiple formats.
A collection of custom Web Audio API oscillators for generating organ, bass, chiptune, and other musical waveforms.
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