CoreML-samples VS Awesome-Mobile-Machine-Learning

Compare CoreML-samples vs Awesome-Mobile-Machine-Learning 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)

Awesome-Mobile-Machine-Learning

A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices. (by fritzlabs)
Our great sponsors
  • SonarQube - Static code analysis for 29 languages.
  • InfluxDB - Access the most powerful time series database as a service
  • SaaSHub - Software Alternatives and Reviews
CoreML-samples Awesome-Mobile-Machine-Learning
0 1
39 1,231
- -
0.0 4.2
over 5 years ago over 1 year ago
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-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.

We haven't tracked posts mentioning Awesome-Mobile-Machine-Learning yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

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

Swift-AI - The Swift machine learning library.

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

Tensorflow-iOS

Caffe2

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

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

spokestack-ios - Spokestack: give your iOS app a voice interface!

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