Normalizing Flows for PyTorch
Project description
Copyright (c) FlowTorch Development Team.
This source code is licensed under the MIT license found in the LICENSE.txt file in the root directory of this source tree.
Overview
FlowTorch is a PyTorch library for the flexible representation of random distributions with Normalizing Flows.
Installing FlowTorch
git clone https://github.com/stefanwebb/flowtorch.git
cd flowtorch
pip install -e .
Developing
To build documentation
cd docs
sphinx-apidoc -o source ../flowtorch/
make html
To preview built HTML documentation
cd docs/_build/html
python -m http.server # python 3
See .github/workflows/python-package.yml
for how we build, lint, and test.
Developing
Install dev dependencies
pip install -e .[dev]
Running tests
pytest
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
flowtorch-0.0.dev1.tar.gz
(11.2 kB
view hashes)
Built Distribution
Close
Hashes for flowtorch-0.0.dev1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9d1608961a3100d221717f2701baec55d5fd4b1881906dad0d4421ce4958573a |
|
MD5 | b2631480e3a42cba850f3526306d1713 |
|
BLAKE2b-256 | 4f80c8d8f545350263df32c04aa2bfd49265e4569dc0bab9556ff78ed18d7676 |