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Author:
None
License:
MIT
Summary:
Evolutionary Spectrogram Optimisation : optimise the selection and size of frequency bands of spectrograms to maximise deep learning classification accuracy while minimising the model's size using genetic algorithms
Latest version:
0.1.0.dev68
Required dependencies:
librosa
|
matplotlib
|
numpy
|
opencv-python-headless
|
pandas
|
pre-commit
|
pyqt5
|
pytest-cov
|
pytest-mock
|
resampy
|
scikit-learn
|
setuptools
|
sympy
|
tensorboard
|
torch
|
tqdm
|
yattag
Optional dependencies:
ipykernel
|
nbsphinx
|
nbsphinx-link
|
nbval
|
pydata-sphinx-theme
|
pytest
|
pytest-cov
|
sphinx
|
sphinx_mdinclude
|
sphinx_rtd_theme
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