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GRUV is a Python project for algorithmic music generation.

Results 28 GRUV issues
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Getting this error in `generate.py` ``` $ python generate.py Using Theano backend. Loading training data Finished loading training data Starting generation! Traceback (most recent call last): File "generate.py", line 59,...

in train.py, keras routine models.save_weights() is called. keras models.save_model() and models.load_model() require h5py, you should document that it is a required dependency as keras documentation marks h5py as optional. It...

I successfully trained with the default mp3. But I'm getting this error when predicting: ``` seedSeqNew = model._predict(seedSeq) #Step 1. Generate X_n + 1 AttributeError: 'Sequential' object has no attribute...

If `nn_params['sampling_frequency']` is changed in `config/nn_config.py` (e.g. from 44100 to 8000) GRUV attempts to use lame to decode mp3 to wav with the specified sample frequency via the lame --resample...

It appears that `generate_copy_seed_sequence is generating a seed sequence based on a mix of the examples. ``` #A very simple seed generator #Copies a random example's first seed_length sequences as...

Hi, can you help me please, seems like there is something went wrong while running generation: ``` python generate.py Using Theano backend. Loading training data Finished loading training data Starting...

Suggestion: Replacing lines 148-149 in parse_files.py with `mean_x = x_data.mean(axis = (0,1))` `std_x = x_data.std(axis = (0,1))` seems to do the same thing but much more efficiently (it doesn't freeze...

This makes the scripts simpler to use. The command line parsers should probably be extended.