David, This project shows great initiative and vision towards the future of NuPIC. I appreciate the work you've put into this. The visualization looks nice, and the ability to construct hierarchies in a UI is something brand new for us. I've been trying this out a little bit as I've had time, and it looks promising. I'll keep using it and giving you feedback (and bug reports!) as I go.
I'd really like to attach this to the Hot Gym example. It would be a good tutorial to explain how to take the One Hot Gym Prediction data and get it into NuStudio. This will be a goal of mine, and I'll try to get you feedback and help improve the tutorials you create as I go. Great job putting together the first community-driven NuPIC toolkit! --------- Matt Taylor OS Community Flag-Bearer Numenta On Tue, Sep 9, 2014 at 4:39 PM, David Ragazzi <[email protected]> wrote: > Hello NuPICers! > > Just for inform that in all these days I was out, I was creating an a tool > that I believe will be a breakthrough for the community. This tool calls > "NuPIC Studio", or just NuStudio. NuStudio is an all-in-one tool that > allows users create a HTM neural network from scratch, train it, collect > statistics, and share it among the members of the community. It is not just > a visualization tool but an HTM builder, debugger and laboratory for > experiments. It is ideal for newbies with little intimacy with NuPIC code as > well as experts that wish a better productivity. Among its features and > advantages I list: > - Users can open, save, or change their "HTM projects" or of other > developers. A typical project contains data to be trained, neural network > configuration, statistics, etc, which can be shared to be analysed or > integrated with other projects. > - The HTM engine is the own original NuPIC libray (Python distribution). > This means no port, no bindings, no re-implementation, etc. So any changes > in the original nupic source can be immediatedly viewed. This helps users > that wish test improvements like new encoders or even hierarchy, attention, > and motor integration. > - The project is pip-installable and for desktop use. > > Project details: > - All code is implemented in Python. When I say "all code", I really mean > that code like GUI, 3d simulation, etc, are writen in Python and use > open-source and cross platform components. > - All GUI stuff (forms, controls, etc) is implemented in PyQT. PyQT is the > version of the famous QT adapted for python apps, which is open-source, > cross-platform, complete, and very easy to code and change. > - All utilities like XML serialization, canvas 2d, etc, also are implemented > in PyQT. > - A front-end object-oriented layer also written in Python is provided in > order to ease the understanding of the NuPIC code and keep backwards > compatibility. This means that someone with less experience in NuPIC could > re-use this front-end in her projects. > > The project's site is: > https://github.com/DavidRagazzi/nupic.studio > > and you can see some screen-shots attached to this message. > > Surely it still is not 100%, and it's expected that some installation issues > arise, but I hope optimize the process as soon as possible. By the way, it > works reasonably well and any people is welcome to try it or even improve > it. > > I look forward for your feedback, it is very important! > > Cheers, > David > > -- > David Ragazzi > MSc in Sofware Engineer (University of Liverpool) > Try NuPIC Studio! https://github.com/DavidRagazzi/nupic.studio > -- > "I think James Connolly, the Irish revolutionary, is right when he says that > the only prophets are those who make their future. So we're not > anticipating, we're working for it."
