Sure, the best way to get attention is to open an issue on github.com/torch/torch7 (that way you get the attention of all the core developers). If you'd like to ask something more discrete, I'd suggest you email one of the four here: https://github.com/orgs/torch/members

It may seem obvious, but I feel like the page you linked could use an occurrence of the word 'C++'. The code snippet was obvious to me, but just a thought.

Thanks for the feedback! While the code snippet is from C++, we have language wrappers for Java, R and Fortran. We'll try to be more clear about this in our documentation.

ArrayFire looks very interesting, as a novice a drop in enhancement of the nn (or nnx for dropout) package for torch would be very useful.

We are getting there. In the mean time we have an example on how you can go about building one yourself. You can see it here: https://github.com/arrayfire/arrayfire_examples/blob/master/...

Thanks for the response, currently I'm doing R&D with easier to use high level representations and if it proves fruitful will be looking at getting the most cost effective speedups in about 6 months.

Whats the license for the free edition? I would be sticking to open source code until we secure capital, but would be very interested in your commercial services down the line.