Hi all,
I’ve been taking a brief view at pytorch and I’m still unaware of the “major” differences regarding torch7 and pytorch. If you could briefly describe them it would be awesome (it could be used in a F.A.Q. as well  )
Also, I’ve tried to find a roadmap for the future (2017+) of any of these implementations on top of the torch computing framework and got not much. I do see some of the ideas proposed in the previous roadmap for torch coming to life (like tutorials, standardized datasets, a nice forum to hang out), so I must point out to the big elephant in the room: which one will take the focus on now? Pytorch or Torch7?
Don’t get me wrong, I much prefer python’s libraries because they are more standardized and mature than Lua’s, and Lua lacks many of the key functionality for some of these tasks (scipy, matplotlib, etc.). But this wasn’t that big of a deal due to some libraries like “fb.python” that allowed the use of some functionalities from python to be used with Lua, but I realise that python is a better choice for a research/developing platform compared to Lua.
Another thing I would like to clarify from the devs is this: what is the big advantage of pytorch regarding tensorflow? Or shall I say, what makes pytorch stand out of the rest of the “competition”?
Also, why not a gitter chat like torch7? WTH man!