flowtorch 0.1

Normalizing Flows for PyTorch

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.

:boom: FlowTorch is currently in pre-release and many of its planned features and documentation are incomplete! You may wish to wait until the first release planned for 8/03/2021.

Overview

FlowTorch is a PyTorch library for learning and sampling from complex probability distributions using a class of methods called Normalizing Flows.

Installing

An easy way to get started is to install from source:

git clone https://github.com/facebookincubator/flowtorch.git
cd flowtorch
pip install -e .

Further Information

We refer you to the FlowTorch website for more information about installation, using the library, and becoming a contributor. Here is a handy guide:

• What are normalizing flows?
• How do I install FlowTorch?
• How do I construct and train a distribution?
• How do I contribute new normalizing flow methods?
• Where can I report bugs?
• Where can I ask general questions and make feature requests?
• What features are planned for the near future?