CoreML-samples vs Awesome-Mobile-Machine-Learning

CoreML-samples

Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools. (by ytakzk)

Machine Learning

Source Code

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Awesome-Mobile-Machine-Learning

A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices. (by fritzlabs)

Machine Learning ios-development android-development edge-computing Tutorials technical-guides

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CoreML-samples		Awesome-Mobile-Machine-Learning
	Project
-	Mentions	1
41	Stars	1,231
-	Growth	-
0.0	Activity	4.2
almost 7 years ago	Latest Commit	almost 3 years ago
Jupyter Notebook	Language
MIT License	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.

Awesome-Mobile-Machine-Learning

Posts with mentions or reviews of Awesome-Mobile-Machine-Learning. We have used some of these posts to build our list of alternatives and similar projects.

Mobile ML general
1 project | /r/createml | 12 Jan 2021

What are some alternatives?

When comparing CoreML-samples and Awesome-Mobile-Machine-Learning you can also consider the following projects:

CoreML-Models - Largest list of models for Core ML (for iOS 11+)

Swift-AI - The Swift machine learning library.

Tensorflow-iOS

Caffe2

SwiftCoreMLTools - A Swift library for creating and exporting CoreML Models in Swift

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

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

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