Tensorflow-iOS VS CoreML-samples

Compare Tensorflow-iOS vs CoreML-samples 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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Tensorflow-iOS CoreML-samples
- -
- 41
- -
- 0.0
- almost 7 years ago
Jupyter Notebook
- 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.

Tensorflow-iOS

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

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

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.

What are some alternatives?

When comparing Tensorflow-iOS and CoreML-samples 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.

Caffe2

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

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

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

Revolver - A framework for building fast genetic algorithms in Swift.

Swift-Brain - Artificial intelligence/machine learning data structures and Swift algorithms for future iOS development. bayes theorem, neural networks, and more AI.

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