https://github.com/stefanwebb/flowtorch-old

Separating Normalizing Flows code from Pyro and improving API
https://github.com/stefanwebb/flowtorch-old

bayesian-inference bayesian-statistics normalizing-flows probabilistic-graphical-models probabilistic-models probabilistic-programming pytorch

Last synced: 3 months ago
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Separating Normalizing Flows code from Pyro and improving API

• Host: GitHub
• URL: https://github.com/stefanwebb/flowtorch-old
• Owner: stefanwebb
• License: mit
• Created: 2020-12-07T22:37:50.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2021-08-26T05:37:58.000Z (about 3 years ago)
• Last Synced: 2024-07-04T00:58:09.031Z (4 months ago)
• Topics: bayesian-inference, bayesian-statistics, normalizing-flows, probabilistic-graphical-models, probabilistic-models, probabilistic-programming, pytorch
• Language: Python
• Homepage: https://flowtorch.ai
• Size: 4.2 MB
• Stars: 36
• Watchers: 6
• Forks: 1
• Open Issues: 16
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt
  • Code of conduct: CODE_OF_CONDUCT.md

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[![](https://github.com/stefanwebb/flowtorch/workflows/Python%20package/badge.svg)](https://github.com/stefanwebb/flowtorch/actions?query=workflow%3A%22Python+package%22)

Copyright (c) FlowTorch Development Team.

This source code is licensed under the MIT license found in the

[LICENSE.txt](https://github.com/stefanwebb/flowtorch/blob/master/LICENSE.txt) file in the root directory of this source tree.

> :boom: **This repository contains an archived version of Flowtorch from early 2021. Development has continued in a private repo.**.

# Overview

FlowTorch is a PyTorch library for learning and sampling from complex probability distributions using a class of methods called [Normalizing Flows](https://arxiv.org/abs/1908.09257).

# 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](https://flowtorch.ai) for more information about installation, using the library, and becoming a contributor. Here is a handy guide:

* [What are normalizing flows?](https://flowtorch.ai/users)

* [How do I install FlowTorch?](https://flowtorch.ai/users/installation)

* [How do I construct and train a distribution?](https://flowtorch.ai/users/start)

* [How do I contribute new normalizing flow methods?](https://flowtorch.ai/dev)

* [Where can I report bugs?](https://github.com/stefanwebb/flowtorch/issues)

* [Where can I ask general questions and make feature requests?](https://github.com/stefanwebb/flowtorch/discussions)

* [What features are planned for the near future?](https://github.com/stefanwebb/flowtorch/projects)