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It either wraps or\nimplements diverse conditional density estimators.\n\n### Density estimation with normalizing flows\n\nThis package provides pass-through access to all the\nfunctionalities of [nflows](https://github.com/bayesiains/nflows).\n\n## Installation\n\n`pyknos` requires Python 3.8 or higher. A GPU is not required, but can lead to speed-up\nin some cases. We recommend using a\n[`conda`](https://docs.conda.io/en/latest/miniconda.html) virtual environment\n([Miniconda installation instructions](https://docs.conda.io/en/latest/miniconda.html)).\nIf `conda` is installed on the system, an environment for installing `pyknos` can be\ncreated as follows:\n\n```commandline\n$ conda create -n pyknos_env python=3.12 \u0026\u0026 conda activate pyknos_env\n```\n\n### From PyPI\n\nTo install `pyknos` from PyPI run\n\n```\npython -m pip install pyknos\n```\n\n### From conda-forge\n\nTo install and add `pyknos` to a project with [`pixi`](https://pixi.sh/), from the project directory run\n\n```\npixi add pyknos\n```\n\nand to install into a particular conda environment with [`conda`](https://docs.conda.io/projects/conda/), in the activated environment run\n\n```\nconda install --channel conda-forge pyknos\n```\n\n## Examples\n\nSee the [`sbi` repository](https://github.com/sbi-dev/sbi) for examples of using pyknos.\n\n## Name\n\npyknós (πυκνός) is the transliterated Greek root for density\n(pyknótita) and also means *sagacious*.\n\n## Copyright notice\n\nThis program is free software: you can redistribute it and/or modify\nit under the terms of the Apache License 2.0., see LICENSE for more details.\n\nThis program is distributed in the hope that it will be useful,\nbut WITHOUT ANY WARRANTY; without even the implied warranty of\nMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.\n\n## Acknowledgments\n\nThanks to Artur Bekasov, Conor Durkan and George Papamarkarios for\ntheir work on [nflows](https://github.com/bayesiains/nflows).\n\nThe MDN implementation in this package is based on Conor M. Durkan's.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsbi-dev%2Fpyknos","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsbi-dev%2Fpyknos","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsbi-dev%2Fpyknos/lists"}