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docs/src/highlevels/inverse_problems.md

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@@ -73,7 +73,7 @@ with the high-level package DiffEqBayes.jl). For more examples on combining
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Turing.jl with DiffEqBayes.jl, see the documentation below. It is important
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to note that Turing.jl can also perform Bayesian estimation without relying on
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DiffEqBayes.jl (for an example, consult
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[this](https://turinglang.org/stable/tutorials/10-bayesian-differential-equations/) tutorial).
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[this](https://turinglang.org/docs/tutorials/10-bayesian-differential-equations/) tutorial).
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## Topopt.jl: Topology Optimization in Julia
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