Lux: Explicit Parameterization of Deep Neural Networks in Julia

Diff since v0.5.2

Closed issues:

• deploy versions (#384)

Merged pull requests:

• Add Potential CUDA Grouped Conv segfault test (#388) (@avik-pal)
• Add Tutorial on modeling gravitational waveforms (#389) (@avik-pal)
• CompatHelper: bump compat for Optimisers to 0.3, (keep existing compat) (#390) (@github-actions[bot])
• CompatHelper: add new compat entry for CSV at version 0.10 for package examples, (keep existing compat) (#391) (@github-actions[bot])
• CompatHelper: add new compat entry for Optimization at version 3 for package examples, (keep existing compat) (#392) (@github-actions[bot])
• CompatHelper: bump compat for Optimisers to 0.3 for package examples, (keep existing compat) (#393) (@github-actions[bot])
• CompatHelper: add new compat entry for LineSearches at version 7 for package examples, (keep existing compat) (#394) (@github-actions[bot])
• CompatHelper: add new compat entry for OptimizationOptimJL at version 0.1 for package examples, (keep existing compat) (#395) (@github-actions[bot])
• CompatHelper: bump compat for Optimisers to 0.3 for package ImageNet, (keep existing compat) (#396) (@github-actions[bot])
• CompatHelper: bump compat for Optimisers to 0.3 for package DDIM, (keep existing compat) (#397) (@github-actions[bot])
• Restructure for autosidebar (#398) (@avik-pal)
• Use separate Project and Manifest files (#399) (@avik-pal)
• Use separate processes to generate the tutorials (#400) (@avik-pal)
• Add f16, f32, f64 functions for easy parameter eltype conversions (#401) (@avik-pal)