CoreML-Models VS MLKit

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

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CoreML-Models MLKit
2 -
6,231 151
- -
2.3 0.0
11 months ago over 5 years ago
Python Swift
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.

MLKit

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

We haven't tracked posts mentioning MLKit yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

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

Swift-AI - The Swift machine learning library.

Tensorflow-iOS

BrainCore - The iOS and OS X neural network framework

Caffe2

react-native-vision-camera - 📸 A powerful, high-performance React Native Camera library.

CoreML-samples - Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.

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

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

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