Lux: Explicit Parameterization of Deep Neural Networks in Julia

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Authors: Avik Pal
Cited by: 0

Abstract

MLDataDevices MLDataDevices-v1.16.1 Diff since MLDataDevices-v1.16.0 Merged pull requests: test: use finite differencing for gradient testing for Reactant (#1545) (@avik-pal) Indent code blocks to make it part of ordered list (#1570) (@abhro) Fix @example blocks in gpu_management.md (#1571) (@abhro) test: streamline installing packages in tests (#1583) (@avik-pal) chore: bump actions/upload-artifact from 5 to 6 (#1598) (@dependabot[bot]) chore: bump actions/download-artifact from 6 to 7 (#1599) (@dependabot[bot]) chore: bump peter-evans/create-pull-request from 7 to 8 (#1600) (@dependabot[bot]) feat: proper annotations for xprof (#1603) (@avik-pal) fix: forwarddiff support for gpu arrays (#1605) (@avik-pal) docs: use new API to export jax models (#1606) (@avik-pal) chore: update NPZ requirement to 0.4.3 in /docs (#1607) (@dependabot[bot]) chore: update MLUtils requirement to 0.4.8 in /docs (#1608) (@dependabot[bot]) ci: reactant don't preallocate on CI (#1611) (@avik-pal) ci: fix how downgrade ci works (#1612) (@avik-pal) feat: make forwarddiff a weak dependency for luxlib (#1613) (@avik-pal) perf: more benchmarking results (#1614) (@avik-pal) chore: bump crate-ci/typos from 1.40.0 to 1.41.0 (#1616) (@dependabot[bot]) fix: sparse arrays support (#1617) (@avik-pal) Closed issues: Proper Sparse Interfaces (#1014) Relax ForwardDiff version bound? (#1530) Update exporting to jax example to directly use new export functionality (#1588) Failed to precompile LuxLossFunctionsExt (#1591) TagBot: Manual intervention needed for releases (#1604) What is wrong with my custom layer? (#1610) [MLDataDevices] AbstractCuSparseArray not defined in CUDA.jl v5.9.6 (#1615)

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 January 2026