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This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a community of users and contributors by focusing initially on complete infra and documentation for how to use and create components.

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facebookincubator/flowtorch

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Copyright © Meta Platforms, Inc

This source code is licensed under the MIT license found in the LICENSE.txt file in the root directory of this source tree.

⚠️ Development of FlowTorch has moved: This repo will be frozen, and development continued at stefanwebb/flowtorch.

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:

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This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a community of users and contributors by focusing initially on complete infra and documentation for how to use and create components.

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