Lux: Explicit Parameterization of Deep Neural Networks in Julia

Lux v1.29.1 Diff since v1.29.0 Merged pull requests: test: use finite differencing for gradient testing for Reactant (#1545) (@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) chore: rename extensions in LuxCore (#1618) (@avik-pal) chore: rename extensions in LuxLib (#1619) (@avik-pal) chore: rename extensions in MLDataDevices & WI (#1620) (@avik-pal) chore: rename extensions in Lux (#1621) (@avik-pal) Closed issues: Proper Sparse Interfaces (#1014) Update exporting to jax example to directly use new export functionality (#1588) What is wrong with my custom layer? (#1610) [MLDataDevices] AbstractCuSparseArray not defined in CUDA.jl v5.9.6 (#1615)