Midi event transformer for symbolic music generation
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Updated
Dec 31, 2024 - Python
Midi event transformer for symbolic music generation
PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing
Code and demo for paper: Zhao et al., Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling, in NeurIPS 2024.
This is the official implementation of MusER (AAAI'24).
A library for computing Frechet Music Distance.
A transformer neural network that generates symbolic music improvising over chord changes.
This is the official implementation of RL-Chord (TNNLS).
A transformer model for generating solo piano compositions. Generetes quantized output suitable for working in DAWs.
The Pop-K MIDI Dataset contains 305,815 training examples of augmented pop melodies.
all-in-one ai-midi-pipeline
This repository contains the code for the paper On the Joint Minimization of Regularization Loss Functions in Deep Variational Bayesian Methods for Attribute-Controlled Symbolic Music Generation, submitted to EUSIPCO 2025.
Demo for PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing
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