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Software . 2020
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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License: http://opensource.org/licenses/MIT
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nflows: normalizing flows in PyTorch

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 29 Nov 2020Publisher:Zenodo
Authors: Conor Durkan; Artur Bekasov; Iain Murray; George Papamakarios;
Code repository: https://github.com/bayesiains/nflows/tree/v0.14

doi: 10.5281/zenodo.4296286 , 10.5281/zenodo.4296287

nflows: normalizing flows in PyTorch

Abstract

nflows is a comprehensive collection of normalizing flows using PyTorch.

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visibility
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
29
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Top 10%
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