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ZENODO
Software . 2026
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
ZENODO
Software . 2026
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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Lux: Explicit Parameterization of Deep Neural Networks in Julia

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 17 Jan 2026Publisher:Zenodo
Authors: Pal, Avik;
Code repository: https://github.com/LuxDL/Lux.jl/tree/LuxLib-v1.15.2

doi: 10.5281/zenodo.18282571

Lux: Explicit Parameterization of Deep Neural Networks in Julia

Abstract

LuxLib LuxLib-v1.15.2 Diff since LuxLib-v1.15.1 Merged pull requests: feat: update LuxTestUtils to support 1.12 (#1535) (@avik-pal) test(LuxLib): migrate testing to v1.12 (#1633) (@avik-pal)

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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!
0
Average
Average
Average