5 ms·

Hi, I am the lead engineer at ArrayFire[1]. Is there anyway I can get in touch with you ? [1]http://www.arrayfire.com/docs/index.htm http://www.arrayfire.com/

• psandersen 12y ago
  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.
  • pavanky 12y ago
    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/machine_learning/neural_network.cpp https://github.com/arrayfire/arrayfire_examples/blob/master/...
    • psandersen 12y ago
      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.
• ludamad 12y ago
  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.
  • pavanky 12y ago
    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.
• smhx 12y ago
  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 https://github.com/orgs/torch/members