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NatML allows developers to integrate machine learning into their Unity applications in under five lines of code with zero infrastructure. NatML completely removes the need to have any experience with machine learning in order to take advantage of the features it can provide. NatML takes advantage of hardware machine learning accelerators, like CoreML on iOS and macOS, NNAPI on Android, and DirectML on Windows. As a result, it is multiple times faster than Unity's own Barracuda engine. NatML exposes machine learning models with simple classes that return familiar data types. These are called "Predictors", and they handle all of the heavy lifting for you. No need to write pre-processing scripts or shaders, wrangle tensors, or anything of that sort. NatML supports Android, iOS, macOS, and Windows alike. As a result, you can build your app once, test it in the Editor, and deploy it to the device all in one seamless workflow.
Features
- NatML is designed with a singular focus on applications
- NatML is particularly suited for augmented reality because it delegates work to ML accelerators
- NatML is distributed in a self-contained package
- You can simply import the package and get going, no setup necessary
- NatML supports Android, iOS, macOS, and Windows alike
- You can build your app once, test it in the Editor, and deploy it to the device all in one seamless workflow
Project Samples
