Awesome-CoreML-Models

Why we included this project

Apple's Core ML framework has been around since iOS 11, and this list gathers a large collection of models already converted to that format. Instead of training or converting anything yourself, you can grab a ready-made .mlmodel file for image classification, object detection, pose estimation, or text recognition, and most entries link to a demo app and the original paper so you can see the model in action before committing to it. The models are grouped by task, which makes scanning for a specific capability quick. It also doubles as a reference for which classic architectures like MobileNet, ResNet, YOLO, and Inception have working Core ML conversions, useful when you are deciding whether to convert your own. For a small team trying to ship on-device inference, that saves real hours of hunting.