We've put up the largest collection of machine learning models that work with Apples Core ML standard, to help iOS developers experiment with machine learning techniques. If you've converted a Core ML model and feel free to submit a PR here.

Models that takes image data as input and output useful information about the image.

• MobileNet - Detects the dominant objects present in an image. Download | Demo | Reference
• Places CNN - Detects the scene of an image from 205 categories such as bedroom, forest, coast etc. Download | Demo | Reference
• Inception v3 - Detects the dominant objects present in an image. Download | Demo | Reference
• ResNet50 - Detects the dominant objects present in an image. Download | Demo | Reference
• VGG16 - Detects the dominant objects present in an image. Download | Demo | Reference
• Car Recognition - Predict the brand & model of a car. Download | Demo | Reference
• YOLO - Recognize what the objects are inside a given image and where they are in the image. Download | Demo | Reference
• AgeNet - Predict a person's age from one's portrait. Download | Demo | Reference
• GenderNet - Predict a person's gender from one's portrait. Download | Demo | Reference
• MNIST - Predict handwritten (drawn) digits from images. Download | Demo | Reference
• EmotionNet - Predict a person's emotion from one's portrait. Download | Demo | Reference
• SentimentVision - Predict positive or negative sentiments from images. Download | Demo | Reference
• Food101 - Predict the type of foods from images. Download | Demo | Reference
• Oxford102 - Detect the type of flowers from images. Download | Demo | Reference
• FlickrStyle - Detect the artistic style of images. Download | Demo | Reference
• LocationNet - Predict the location where a picture was taken. Download | Demo | Reference

Models that transform image data into other form of image data.

• HED - Output the nested edges of a color image. Download | Demo | Reference
• Candy - Transfer a color image into Candy style. Download | Demo | Reference
• Feathers - Transfer a color image into Feathers style. Download | Demo | Reference
• La Muse - Transfer a color image into La-muse style. Download | Demo | Reference
• The Scream - Transfer a color image into The-Scream style. Download | Demo | Reference
• Udnie - Transfer a color image into Udnie style. Download | Demo | Reference
• Mosaic - Transfer a color image into Mosaic style. Download | Demo | Reference

Models that takes text data as input and output useful information about the text.

• Sentiment Polarity - Predict positive or negative sentiments from sentences. Download | Demo | Reference
• iMessage Spam Detection - Detect whether a message is spam. Download | Demo | Reference

• Exermote - Predicts the type of exercise from movement data. Download | Demo | Reference
• Artists Recommendation - Recommend a artist based on given location and genre. Download | Demo | Reference

List of model formats that could be converted to Core ML with examples

• Caffe
• Keras
• XGBoost
• Scikit-learn
• MXNet
• LibSVM

Collections of machine learning models that could be converted to Core ML

• Caffe Model Zoo - Big list of models in Caffe format.
• TensorFlow Models - Models for TensorFlow.
• TensorFlow Slim Models - Another collection of TensorFlow Models.
• MXNet Model Zoo - Collection of MXNet models.

• See the guide
• Distributed under the MIT license. See LICENSE for more information.