Python package for conditional density estimation. It either wraps or implements diverse conditional density estimators.
This package provides pass-through access to all the functionalities of nflows.
pyknos requires Python 3.8 or higher. A GPU is not required, but can lead to speed-up
in some cases. We recommend using a
conda virtual environment
(Miniconda installation instructions).
If conda is installed on the system, an environment for installing pyknos can be
created as follows:
$ conda create -n pyknos_env python=3.12 && conda activate pyknos_env
Independent of whether you are using conda or not, pyknos can be installed using pip:
pip install pyknos
See the sbi repository for examples of using pyknos.
pyknós (πυκνός) is the transliterated Greek root for density (pyknótita) and also means sagacious.
This program is free software: you can redistribute it and/or modify it under the terms of the Apache License 2.0., see LICENSE for more details.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
Thanks to Artur Bekasov, Conor Durkan and George Papamarkarios for their work on nflows.
The MDN implementation in this package is based on Conor M. Durkan's.