Muzic: Music Understanding and Generation with Artificial Intelligence
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Updated
Jun 10, 2024 - Python
Muzic: Music Understanding and Generation with Artificial Intelligence
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[ACM MM 2021 Best Paper Award] Video Background Music Generation with Controllable Music Transformer
Pytorch Implementation of wavegan model to generate audio
Transformer-XL for Jazz music composition. Paper: "The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-Composed Music through Quantitative Measures", ISMIR 2020
Word2Wave: a framework for generating short audio samples from a text prompt using WaveGAN and COALA.
A project that trains a LSTM recurrent neural network over a data-set of MIDI files.
PyTorch implementation of " Synthesizing Audio with Generative Adversarial Networks"
Composition of short musical pieces with reinforcement learning. To be more detailed, framing of fifth species counterpoint writing as an optimization problem.
A python package for high level musical data manipulation and preprocessing, making data ready to be fed to a neural network.
SunoAI Unofficial Python API Library and REST API for Suno.ai — Create Music with Generative AI ! ✨
Exploring Automatic Music Generation using Transformer encoder-based Language Models
Algorithmic composition of modern classical music in the twelve-tone technique.
✨ Suno API Based AI Music Generator Telegram Bot. Example for SunoAI Python Library.
Generation of musical phrases that receive maximum score according to configurable evaluational criteria.
Music generation application using deep learning
Create seamless infinite music generation leveraging MusicGen model
An educational simple game in Italian/English that simulates interaction between antbiotics and bacteria.
Can we train machines to express feelings in lyrics? Those song lyrics generators are here to help you through your song writing.
Generate long-term "structure" dependency raw piano audio, result: https://soundcloud.com/mazzzystar/sets/only-1-discriminator-to-control-both-local-long-term
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