Experiments on learning controllers and mining specifications using neural networks, i.e. LSTMs, GANs, etc...
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audio
.gitignore
ConvertData.ipynb
GenerateData.ipynb
README.md
SpecMiningInterpolation.ipynb
SpecMiningMajor.ipynb
bayesian_parameter_optimization.py
convert_btext.py
crgan_proll.py
data_processing.py
dcgan_proll.py
gan.py
gan_prefix_tf.py
gan_tf.py
gan_tf_interp.py
gan_tf_sampling.py
gimg2midi.py
gimg2txt.py
grid_search.py
layers.py
lsgan_text.py
midi2npyproll.py
models.py
music_utils.py
neural_networks.py
nnet_utils.py
npyproll2midi.py
parameter_search.py
params.py
plot_batch.py
text_utils.py
traverse_latent.py
wcgan.gif
wcrgan_proll.py

README.md

neural_network_control_improvisation

Experiments on using Generative Adversarial Networks (GAN) and nondeterministic finite automaton (NFA) for learning controllers and mining specifications.

Jazz Solos