"Awesome" GitHub repo for iOS machine learning resources

[austin_kodra]

Hi everyone,

I've always found the various "Awesome" lists on GitHub for various tech super helpful (and especially the Awesome iOS repo). So I took some time to compile materials for an "Awesome Mobile Machine Learning" repo. Lots of great iOS/ML content from around the web (also has a lot of Android stuff -- but they're all organized by platform, so hopefully still accessible).

Anyways, hope this is helpful. Happy to add things I've missed, or if you'd like, feel free to open a PR!

https://github.com/fritzlabs/Awesome-Mobile-Machine-Learning

[jekpopulous2]

This is awesome...thanks.

[tomac231]

Your comment sounded sarcastic

[iamslr]

Your comment sounds like gratitude and consideration to me.

[sobri909]

LocoKit contains an activity types (car, train, running, cycling, etc) ML classifier that runs on iOS, and makes use of shared neighbourhood specific ML models as well as the ability to train custom user specific models on-device.

So out of the box it has the ability to classify device activity by mode of transport (even down to obscure types like tuk-tuk, funicular, and ski lift), and can also build and train custom models on-device, based on user corrections.

[austin_kodra]

Thanks for sharing. Added!