Metadata-Version: 2.1
Name: intercode
Version: 0.0.3
Summary: Interpretable Autoencoder
Home-page: https://github.com/theislab/intercode
Author: Sergei Rybakov
Author-email: sergei.rybakov@helmholtz-muenchen.de
License: BSD-3-Clause
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Environment :: Console
Classifier: Framework :: Jupyter
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Description-Content-Type: text/markdown
Requires-Dist: anndata
Requires-Dist: torch
Requires-Dist: numpy

Intercode - Interpretable Autoencoder
======================================

Intercode is a package to learn interpretable latent representation of single-cell data.
Intercode contains the implementation of the autoencoder which forces latent dimensions
to correspond to predefined gene sets.

Usage and installation
--------------------------------------

Install with pip

::

   pip install intercode

See `the notebooks <https://github.com/theislab/intercode/tree/main/notebooks>`_ for the examples.


