They say you code 90% of the project in 10% of the time…
Please still regard this as work in progress but I think its about time we had a public alpha. There may be some changes but hopefully nothing that will change anything significantly.
I’ll post here again, or make a blog post, explaining the how to start using it and the general ethos underpinning the design, but the demos should give you some indication and if you’re already familiar with machine learning with a library such as Keras a lot of the features here will become familiar to you.
There are one or two hairs out of place and I will provide some more documentation in the future, but feel free to ask questions, report bugs, and complain about what’s missing. If you have a particular use case you’d like to explore, you can share it here, make an issue on Github, or drop me a message.
I would recommend simply downloading the demos and installing the packages via the “install missing dependencies” button that you can find in the menu. Also, the demos work best with computers that have an Nvidia GPU and run vvvv Alpha rather than Gamma because the local files can be accessed correctly. Lastly, use the alpha mentioned on the page because it gives the least-buggy experience at the moment, but the devs are working on fixes.
Happy hunting!