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likedan/Awesome-CoreML-Models

The official documentation We've put up the largest collection of machine learning models in Core ML format, to help iOS, macOS, tvOS, and watchOS developers experiment with machine learning techniques.

Tools that helps visualize CoreML Models List of model formats that could be converted to Core ML with examples Collections of machine learning models that could be converted to Core ML Individual machine learning models that could be converted to Core ML.

A Guide to CoreML on iOS

Apple's newly released CoreML framework makes it super simple for developers to run inference of pre-trained models on their iOS devices. Let's talk about ...

WWDC 2017 Video Session - Core ML in depth

Dive deeper into the details of the new Core ML framework. Explore how machine learning model development and app development fit together. Take a closer ...

Machine Learning on iOS with Keras and CoreML

More and more machine learning is moving to the edge, which is another fancy word for devices like mobile phones and other IoT devices. On iOS, you can use ...

Core ML Tutorial: Create a Simple Machine Learning App - Image Classification

This tutorial is a simple introduction into how to use Core ML in Xcode 9. We are going to create a demo app for image classification with the GoogLeNet ...

Machine Learning with Core ML in iOS 11: Converting a Scikit-Learn Model to Core ML| packtpub.com

This video tutorial has been taken from Machine Learning with Core ML in iOS 11. You can learn more and buy the full video course here [ ..

Recognize Handwriting with Core ML - 2/24 Days of Swift Tutorials 🎄

Learn how to Recognize Handwriting on iOS with Core ML and Swift. You are going to use Core ML, the Vision Framework and the MNIST machine learning ...

How to Deploy Keras Models to Production

We'll train an image classifier in Keras using a Tensorflow backend, then serve it to the browser using a super simple Flask backend. We can then deploy this ...

try! Swift Tokyo 2018 - Super Resolution with CoreML

try! Swift Tokyo Conference 2018 - try! Swift is an immersive community gathering about Apple Technologies, Swift Language Best Practices, Application ...

Predicting the Winning Team with Machine Learning

Can we predict the outcome of a football game given a dataset of past games? That's the question that we'll answer in this episode by using the scikit-learn ...