Awesome-Mobile-Machine-Learning VS CoreML-Models

Compare Awesome-Mobile-Machine-Learning vs CoreML-Models and see what are their differences.

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-Models

Largest list of models for Core ML (for iOS 11+) (by likedan)
Machine Learning Coreml coreml-model Apple curated-list coreml-framework coreml-models Coremltools awesome-list Models Model Download Awesome core-ml ML Caffe Caffemodel tensorflow-models iOS Ios11
Source Code
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Awesome-Mobile-Machine-Learning CoreML-Models
1 2
1,231 6,198
- -
4.2 2.3
almost 3 years ago 10 months ago
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.

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.

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 Awesome-Mobile-Machine-Learning and CoreML-Models you can also consider the following projects:

Swift-AI - The Swift machine learning library.

Tensorflow-iOS

Caffe2

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

BrainCore - The iOS and OS X neural network framework

MLKit - A simple machine learning framework written in Swift 🤖

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

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

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

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

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

CoreML-Models vs Swift-AI CoreML-Models vs Tensorflow-iOS CoreML-Models vs Caffe2 CoreML-Models vs CoreML-samples Awesome-Mobile-Machine-Learning vs Swift-AI CoreML-Models vs BrainCore CoreML-Models vs MLKit CoreML-Models vs Porcupine   CoreML-Models vs Bender CoreML-Models vs DL4S CoreML-Models vs spokestack-ios CoreML-Models vs AIToolbox