Stijn de Waele

Thanks for working on this! A fully functional upsampling layer will be a very important addition to Flux.

Thanks! In fact I already looked at parts of your code, e.g. [`_propagate_user_gradient!`](https://github.com/KristofferC/ForwardDiff.jl/blob/kc/user_defined_derivatives/src/user_implementations.jl#L42) as I was writing this. If there are plans to progress this branch, that would be great....

Thanks @oxinabox for providing the link!

For this purpose I have converted a pure Julia implementation to Julia 1.0, see [here](https://gist.github.com/sdewaele/2c176cb634280cf8a23c5970739cea0e). It passes all the matrix exponential tests, but I have not yet tested it in...

A related question is: Would it be desirable/expected that IntelliSense works on the package `IntelliTest` when we use the `IntelliTest` environment as Selected environment for the editor? It does not...

@davidanthoff When my current environment is the package environment `IntelliTest`, I am not getting intellisense for `IntelliTest` itself. Should I file a separate issue for this perhaps? Or does this...

Thanks for the pointer for the replacement of `LAPACK.gesv`, that is a good start. I have made this replacement and did some performance testing on it. I do find some...

I created a generic matrix exponential based on the current Julia matrix exponential, but without matrix balancing, see [here](https://github.com/sdewaele/GenericLinearAlgebra.jl/commit/53133b5a5f210cb72de73f7cee71a9f0ca2cd362) for the added code. I think it is valuable to have...

Is there an interest in adding the generic matrix exponential?

I am sorry to say I have deleted my fork of the repo. Anyway, not too much is lost: all I did compared the the current implementation is replace `LAPACK.gesv!(V-U,...