Deep learning driven hip-hop beat generation for my AAR project.

First, create a virtual environment and install our dependencies by running:

$ virtualenv -p python3 .venv
$ source .venv/bin/activate
$ make dev

Then, run on CPU with command:

$ python generator.py [# of epochs]

Or, run on GPU with command:

$ THEANO_FLAGS=mode=FAST_RUN,device=gpu,floatX=float32 python generator.py
  [# of epochs]

Note: running Keras/Theano on GPU is formally supported for only NVIDIA cards (CUDA backend).

Note: preprocess.py must be modified to work with other MIDI files (the relevant "melody" MIDI part needs to be selected). The ability to handle this natively is a planned feature.

This project was forked from Ji-Sung Kim's deepjazz project who used a lot of the preprocessing code (with permission) from Evan Chow's jazzml project. Public examples from the Keras documentation were also referenced.