CoreML-samples VS CoreML-Models

Compare CoreML-samples vs CoreML-Models 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-samples CoreML-Models
0 2
39 5,601
- -
0.0 0.0
over 5 years ago over 2 years ago
Jupyter Notebook Python
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-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.

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.

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

What are some alternatives?

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

Swift-AI - The Swift machine learning library.

Tensorflow-iOS

Caffe2

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

BrainCore - The iOS and OS X neural network framework

MLKit - A simple machine learning framework written in Swift 🤖

DL4S - Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

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

AIToolbox - A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms

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