Lux: Explicit Parameterization of Deep Neural Networks in Julia

LuxLib LuxLib-v1.10.2

Diff since LuxLib-v1.10.1

Merged pull requests:

• Split function into two for dataset/dataloader concept separation (#1400) (@abhro)
• feat: add preserves_state_type to the interface (#1401) (@avik-pal)
• Add and update links to external packages/resources in docs (#1403) (@abhro)
• Change doc title in docs/src/introduction/index.md (#1404) (@abhro)
• chore: bump julia-actions/julia-downgrade-compat from 1 to 2 (#1405) (@dependabot[bot])
• fix a typo in index.md (#1407) (@rzyu45)
• Suppress output in docs and examples (#1408) (@abhro)
• Add more explanatory text in tutorials' data generation (#1409) (@abhro)
• Fix typos and fix up minor docs formatting (#1410) (@abhro)
• Use write(filename, obj) for file I/O in docs (#1411) (@abhro)
• Split up steps in PINN tutorial (#1412) (@abhro)
• Use parenthesized version of @printf for better code formatting (#1413) (@abhro)
• ci: streamline ci testing (#1415) (@avik-pal)
• Improve logic for printing updates on an epoch (#1417) (@abhro)
• chore: bump crate-ci/typos from 1.34.0 to 1.35.3 (#1420) (@dependabot[bot])
• chore: fix mooncake circular dep (#1421) (@avik-pal)

Closed issues:

• Conversion of Arrays of StaticArray to Device (#1406)
• Move LuxLib Mooncake Ext to Mooncake (#1416)
• Question: If I have a Lux model with a single input, how I I create one with two inputs (#1419)