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.

💥 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 3/31/2021.

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/stefanwebb/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?