Lux: Explicit Parameterization of Deep Neural Networks in Julia

LuxCore LuxCore-v1.4.2

Diff since LuxCore-v1.4.1

Merged pull requests:

• fix: pin ForwardDiff and CUDA versions (#1477) (@avik-pal)
• fix: alpha_dropout not rely on prob type (#1480) (@avik-pal)
• feat: annotate function defns with @trace (#1486) (@avik-pal)
• ci(asv): run more benchmarks for ASV (#1487) (@avik-pal)
• feat: precompile common workloads (try 2) (#1488) (@avik-pal)
• chore: drop Polyester as a main dependency (#1489) (@avik-pal)
• ci: fix cache name (#1491) (@avik-pal)
• feat: use new NCCL version (#1492) (@avik-pal)
• docs: make it easy to build docs locally (#1493) (@avik-pal)
• fix(WeightInitializers): overlay backend array for reactant (#1494) (@avik-pal)
• feat: replace Compat.jl with SciMLPublic.jl for @public macro (#1497) (@Copilot)

Closed issues:

• Relax NCCL dep for testing (#1479)
• MLDataDevices: Don't force precision reduction to Float32 for CUDA? (#1490)
• Use SciMLPublic.jl instead of Compat for @public (#1496)