Metadata-Version: 2.1
Name: alcokit
Version: 0.0.14
Summary: package to do MIR and learn generative models on top of librosa and pytorch
Home-page: https://github.com/antoinedaurat/alcokit
Author: Antoine Daurat
Author-email: antoinedaurat@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy (==1.15)
Requires-Dist: pandas (==1.0.1)
Requires-Dist: scikit-learn (==0.22.1)
Requires-Dist: scipy (==1.4.1)
Requires-Dist: librosa (==0.7.2)
Requires-Dist: h5py (==2.10.0)
Requires-Dist: pyrubberband (==0.3.0)
Requires-Dist: pytorch-lightning (==0.8.5)

# ALgorithmic COmposition KIT (alcokit)
This is a small library for performing various tasks on musical data in the frequency domain. The goal of `alcokit` is to offer practical abstractions to programming composers and musicians.  

Available functionalities range from time-segmentation and polyphonic pitch detection to efficient hdf5 storage and sequence modeling.

`alcokit` is still in early development. Documentation and use-case examples are coming soon...