| KevinGong2013/ChineseIDCardOCR |
1,008 |
|
0 |
0 |
about 8 years ago |
2 |
August 18, 2016 |
5 |
apache-2.0 |
Swift |
| [Deprecated] 🇨🇳中国二代身份证光学识别 |
| edvardHua/PoseEstimationForMobile |
702 |
|
0 |
0 |
over 5 years ago |
0 |
|
89 |
apache-2.0 |
C++ |
| :dancer: Real-time single person pose estimation for Android and iOS. |
| ph1ps/Food101-CoreML |
104 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
mit |
Swift |
| A CoreML model which classifies images of food |
| Lausbert/Exermote |
103 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
|
Swift |
| Using Machine Learning to predict the type of exercise from movement data |
| junhwanjang/face_landmark_dnn |
83 |
|
0 |
0 |
almost 7 years ago |
0 |
|
4 |
mit |
Python |
| Face Landmark Detector based on Mobilenet V1 |
| ph1ps/MNIST-CoreML |
60 |
|
0 |
0 |
about 8 years ago |
0 |
|
1 |
mit |
Python |
| Predict handwritten digits with CoreML |
| sacmehta/ESPNetv2-COREML |
53 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
other |
Swift |
| Semantic segmentation on iPhone using ESPNetv2 |
| omaralbeik/mnist-coreml |
37 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Simple convolutional neural network to predict handwritten digits using Keras + CoreML for WWDC '18 scholarship [Accepted] |
| boaerosuke/digitrecognition_ios |
22 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
mit |
Objective-C |
| Deep Learning with Tensorflow/Keras: Digit recognition based on mnist-dataset and convolutional neural-network on iOS with CoreML |
| asparagui/keras_mnist_demo |
22 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
|
Swift |
| Demo of using keras to generate a neural network and iOS 11 to run the converted model. |
