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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 28 Mar 2026Publisher:Zenodo
Authors: Pal, Avik;
Code repository: https://github.com/LuxDL/Lux.jl/tree/LuxLib-v1.15.6

doi: 10.5281/zenodo.19273291

Lux: Explicit Parameterization of Deep Neural Networks in Julia

Abstract

LuxLib LuxLib-v1.15.6 Diff since LuxLib-v1.15.5 Merged pull requests: fix: host memory leak in cublaslt implementation (#1689) (@avik-pal) Closed issues: Irregular RAM usage under large amount of epochs on gpu (#872) Memory leak in Dense layer with CUDA (#1230)

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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