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FabricioArendTorres authored May 8, 2024
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<a href="https://codecov.io/gh/FabricioArendTorres/enflows" >
<img src="https://codecov.io/gh/FabricioArendTorres/enflows/graph/badge.svg?token=UPQ2ZNQ6G4"/>
</a>
<a href="https://fabricioarendtorres.github.io/FlowConductor/"><img src="https://github.com/FabricioArendTorres/FlowConductor/actions/workflows/build_and_deploy_documentation.yml/badge.svg" alt="Documentation"></a>

<a href="https://fabricioarendtorres.github.io/FlowConductor/"><h3>Documentation</h3> </a>
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## About
FlowConductor provides a collection of [normalizing flows](https://arxiv.org/abs/1912.02762) in [PyTorch](https://pytorch.org).
It's core logic and transformations were originally based on the [nflows package](https://github.com/bayesiains/nflows).
The main focus lies in implementing more flow layers from the literature in one consistent framework, and adding support for conditional normalizing flows.
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