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A deep learning enabled music generator module built in Python and using TensorFlow.
This is pretty important since training the Transformer-decoder model is very memory-intensive. Currently, due to the lack of distributed training support, to train the model, we must reduce the hyperparameters...
Beam search generation will dramatically improve the results of the model.
Currently, both the MusicRNN and Transformer models share nearly identical training loops. It would nice if we could refactor the bulk of this code into a general function.
Add option to plot the attention weights of the Transformer model during training.
Currently, all values in the config file have to be defined. The CLI won't try to infer default values if they are not defined in the config. The project provides...