CoreML-Models is the result of applying a machine learning algorithm to a set of training data. The model makes predictions based on new input data. For example, a model that's been trained on a region's historical house prices may be able to predict a house's price when given the number of bedrooms and bathrooms.
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VisualSentimentCNN - From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction.
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Tutorial_coreml - Integrating Machine Learning models into your app.
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CoreML-in-ARKit - Simple project to detect objects and display 3D labels above them in AR. This serves as a basic template for an ARKit project to use CoreML.
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Artists Recommendation - Recommend a artist based on given location and genre.
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NamesDT - Predict whether a name is for male or female.
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FlickrStyle - Detect the artistic style of images.
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Oxford102 - Detect the type of flowers from images.
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Food101 - Predict the type of foods from images.
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SentimentVision - Predict positive or negative sentiments from images.
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HED - Detect nested edges from a color image. Models.
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FacesVisionDemo - Gender Classification from first names.
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Sentiment Polarity - Predict positive or negative sentiments from sentences.
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MNIST - Predict handwritten (drawn) digits from images.
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EmotionNet - Predict a person's emotion from one's portrait.
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GenderNet - Predict a person's gender from one's portrait.
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AgeNet - Predict a person's age from one's portrait.
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YOLO - Recognize what the objects are inside a given image and where they are in the image.
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Car Recognition - Detects the dominant objects present in an image.
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Car VGG16 - Detects the dominant objects present in an image.
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ResNet50 - Predict the brand & model of a car.
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Inception v3 - Detects the dominant objects present in an image.
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Places CNN - Detects the scene of an image from 205 categories such as bedroom, forest, coast etc.
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MobileNet - Detects the dominant objects present in an image.
- Core ML in depth by Apple
- Coreml-Introduction by Appcoda
- Machine Learning in iOS Using Core ML by BignerdRanch
- CoreML: A Quick Walkthrough by Apple Nick Bourdakos
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TensorFlow - This repository contains machine learning models implemented in TensorFlow. The models are maintained by their respective authors. To propose a model for inclusion, please submit a pull request.
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Caffe - Lots of researchers and engineers have made Caffe models for different tasks with all kinds of architectures and data: check out the model zoo!
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TensorFlow Slim - TF-slim is a new lightweight high-level API of TensorFlow (tensorflow.contrib.slim) for defining, training and evaluating complex models.
- Follow us Twitter - Follow us on the next on twitter.
Your contributions are always welcome! To add, remove, or change things on the list: Submit a pull request. See contribution.md for guidelines.