├── .gitattributes
├── README.md
├── SqueezeNet_v1.0.mlmodel
├── SqueezeNet_v1.1.mlmodel
└── VGG19.mlmodel


/.gitattributes:
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1 | *.mlmodel filter=lfs diff=lfs merge=lfs -text
2 | 


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/README.md:
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 1 | # CoreMLZoo
 2 | A few deep learning models converted from various formats to CoreMLs format.
 3 | 
 4 | Models currently available:
 5 | 
 6 | * [SqueezeNet](https://github.com/DeepScale/SqueezeNet)
 7 | 
 8 | * [VGG19](http://www.robots.ox.ac.uk/~vgg/research/very_deep/)
 9 | 
10 | Please feel free to create a pull request with additional models.
11 | 
12 | ## Other Links
13 | 
14 | [CoreML Docs](https://developer.apple.com/machine-learning/) (This includes other pretrained models, including VGG16 and Inception v3).
15 | 
16 | [CoreMLTools](http://pythonhosted.org/coremltools/index.html)
17 | 
18 | [Caffe](http://caffe.berkeleyvision.org)
19 | 
20 | [Keras](https://keras.io)
21 | 


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