Lux: Explicit Parameterization of Deep Neural Networks in Julia

Lux v1.13.6

Diff since v1.13.5

Merged pull requests:

• CompatHelper: bump compat for CairoMakie to 0.15 for package DDIM, (keep existing compat) (#1362) (@github-actions[bot])
• CompatHelper: bump compat for CairoMakie to 0.15 for package GravitationalWaveForm, (keep existing compat) (#1363) (@github-actions[bot])
• CompatHelper: bump compat for CairoMakie to 0.15 for package LSTMEncoderDecoder, (keep existing compat) (#1364) (@github-actions[bot])
• CompatHelper: bump compat for CairoMakie to 0.15 for package OptimizationIntegration, (keep existing compat) (#1365) (@github-actions[bot])
• CompatHelper: bump compat for CairoMakie to 0.15 for package PINN2DPDE, (keep existing compat) (#1366) (@github-actions[bot])
• CompatHelper: bump compat for CairoMakie to 0.15 for package PolynomialFitting, (keep existing compat) (#1367) (@github-actions[bot])
• CompatHelper: bump compat for CairoMakie to 0.15 for package RealNVP, (keep existing compat) (#1368) (@github-actions[bot])
• fix: use Int32 for GCN cora example (#1369) (@avik-pal)
• Fix backticks in examples/Basics (#1370) (@abhro)
• Fix up minor docs/docstrings formatting (#1371) (@abhro)
• feat: forwarddiff support for gather/scatter (#1373) (@avik-pal)
• fix: handle multi-device reactant (#1374) (@avik-pal)

Closed issues:

• TrainState with mutliple Reactant Devices (#1358)
• Reactant.jl pass pipeline broke GCN Cora (#1361)