CoreML-Models VS CoreML-samples

Compare CoreML-Models vs CoreML-samples and see what are their differences.

CoreML-samples

Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools. (by ytakzk)
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CoreML-Models CoreML-samples
2 -
6,221 41
- -
2.3 0.0
10 months ago almost 7 years ago
Python Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

CoreML-Models

Posts with mentions or reviews of CoreML-Models. We have used some of these posts to build our list of alternatives and similar projects.

CoreML-samples

Posts with mentions or reviews of CoreML-samples. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning CoreML-samples yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing CoreML-Models and CoreML-samples you can also consider the following projects:

Swift-AI - The Swift machine learning library.

Tensorflow-iOS

Caffe2

Awesome-Mobile-Machine-Learning - A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.

BrainCore - The iOS and OS X neural network framework

Bender - Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

MLKit - A simple machine learning framework written in Swift 🤖

Porcupine   - On-device wake word detection powered by deep learning

TensorSwift - A lightweight library to calculate tensors in Swift, which has similar APIs to TensorFlow's