iOS_ML

Why we included this project

iOS developers who want machine learning in their apps face a porting problem: most mainstream AI tooling is written in Python, Java, or R, none of which ships naturally inside an Apple app. This curated index answers that by collecting Objective-C, Swift, C, and C++ libraries that can actually run on iOS, then grouping entries by use case so you can find Core ML tooling, computer vision, NLP, speech recognition, OCR, and game AI in one place. The author also points to web APIs, blog posts, and books, which helps when you need the concepts behind a library rather than just its name. It's a reading and reference map rather than software you run yourself, so treat it as a starting point for your own evaluation. Teams just getting into mobile ML will get the most value here, before they have committed to any one framework.