seqgan-music
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L0SG
Implementation of a paper "Polyphonic Music Generation with Sequence Generative Adversarial Networks" in TensorFlow
This repo is a work-in-progress status without code cleanup and refactoring.
Introduction
This is an implementation of a paper Polyphonic Music Generation with Sequence Generative Adversarial Networks in TensorFlow.
Hard-forked from the official SeqGAN code.
Requirements
Python 2.7
Tensorflow 1.4 or newer (tested on 1.9)
pip packages: music21 4.1.0, pyyaml, nltk, pathos
How to use
python music_seqgan.py for full training run.
SeqGAN.yaml contains (almost) all hyperparameters that you can play with.
5 sample MIDI sequences are automatically generated per epoch.
Dataset
The model uses a MIDI version of Nottingham database (http://abc.sourceforge.net/NMD/) as the dataset.
Preprocessed musical word tokens are included in the "dataset" folder.
L0SG