Metadata-Version: 1.2
Name: decompose
Version: 0.1
Summary: Blind source separation based on the probabilistic tensor factorisation framework
Home-page: https://github.com/bethgelab/decompose
Author: Alexander Boettcher
Author-email: alexander.boettcher@bethgelab.org
License: UNKNOWN
Project-URL: Bug Reports, https://github.com/bethgelab/decompose/issues
Project-URL: Source, https://github.com/bethgelab/decompose/
Description-Content-Type: UNKNOWN
Description: Decompose -- Blind source separation framework
        ==============================================
        
        DECOMPOSE is a probabilistic blind source separation framework that
        can be flexibly adjusted to the data, is extensible and easy to use,
        adapts to individual sources and handles large-scale data through
        algorithmic efficiency. DECOMPOSE encompasses and generalises many
        traditional BSS algorithms such as PCA, ICA and NMF.
        
Keywords: data-analysis machine-learning blind-source-separation
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
