Serrano VS CoreML-samples

Compare Serrano vs CoreML-samples and see what are their differences.

Serrano

A Swift deep learning library with Accelerate and Metal support. (by pcpLiu)

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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Serrano CoreML-samples
- -
50 41
- -
0.0 0.0
about 6 years ago almost 7 years ago
Swift 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.

Serrano

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

We haven't tracked posts mentioning Serrano 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 Serrano and CoreML-samples you can also consider the following projects:

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

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

Tensorflow-iOS

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.

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

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

Swift-AI - The Swift machine learning library.