New version: DiffEqFlux v2.5.1

[JuliaRegistrator]

• Registering package: DiffEqFlux
• Repository: https://github.com/SciML/DiffEqFlux.jl
• Created by: @ChrisRackauckas
• Version: v2.5.1
• Commit: 1bf03bd7aed6f09c9a4a25ca29c14277d7bf71c6
• Reviewed by: @ChrisRackauckas
• Reference: Register SciML/DiffEqFlux.jl#62 (comment)
• Description: Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

[github-actions]

Your new version pull request does not meet the guidelines for auto-merging. Please make sure that you have read the General registry README and the AutoMerge guidelines. The following guidelines were not met:

• Does not meet sequential version number guideline: version 2.5.1 skips over 2.5.0

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