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 # Universal Differential Equations for Scientific Machine Learning (SciML)
-Repository for the universal differential equations paper: [arXiv:2001.04385 [cs.LG]](https://arxiv.org/abs/2001.04385)
+
+Repository for the universal differential equations paper: [arXiv:2001.04385 [cs.LG]](https://arxiv.org/abs/2001.04385).
+
+This repository is simply a demonstration. For more up-to-date versions of these codes, see the 
+[SciMLSensitivity.jl](https://docs.sciml.ai/SciMLSensitivity/stable/) and
+[DiffEqFlux.jl](https://docs.sciml.ai/DiffEqFlux/stable/) documentations. Their tutorials incorporate all of the
+ideas from this repo in well-maintained and tested software!
 
 For more software, see the [SciML organization](https://sciml.ai/) and its [Github organization](https://github.com/SciML/)