Overview

A project that trains a LSTM recurrent neural network over a dataset of MIDI files. More information can be found on the writeup about this project or the final report written. Warning: Some parts of this codebase are unfinished.

Dependencies

• Python 2.7
• Anaconda
• Numpy (http://www.numpy.org/)
• Tensorflow (https://github.com/tensorflow/tensorflow) - 0.8
• Python Midi (https://github.com/vishnubob/python-midi.git)
• Mingus (https://github.com/bspaans/python-mingus)
• Matplotlib (http://matplotlib.org/)

Basic Usage

1. Run ./install.sh to create conda env, install dependencies and download data
2. source activate music_rnn to activate the conda environment
3. Run python nottingham_util.py to generate the sequences and chord mapping file to data/nottingham.pickle
4. Run python rnn.py --run_name YOUR_RUN_NAME_HERE to start training the model. Use the grid object in rnn.py to edit hyperparameter configurations.
5. source deactivate to deactivate the conda environment