There are a number of clear ways to improve Glimpse in the future. Here is the short list.
First, the accessibility of the project could be greatly enhanced by integrating Glimpse into a general machine learning framework. Ideally, this framework would provide a graphical interface for designing and running experiments. (This would largely replace the Glab interface.) A good candidate for such a framwork is the Orange project.
Second, it would be helpful to have more advanced backends, particularly one targeting GPUs. This could probably be written using PyCUDA or Theano.
Finally, the biggest boost to accessibility of the project could come from a graphical user interface, which allows the user to specify arbitrary network topologies. This might be done by hacking an interface out of the Orange project’s workbench code.