AIToolbox VS Serrano

Compare AIToolbox vs Serrano and see what are their differences.

AIToolbox

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

Serrano

A Swift deep learning library with Accelerate and Metal support. (by pcpLiu)
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AIToolbox Serrano
0 0
774 50
- -
0.0 0.0
over 2 years ago almost 5 years ago
Swift Swift
Apache License 2.0 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.

AIToolbox

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

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

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.

What are some alternatives?

When comparing AIToolbox and Serrano you can also consider the following projects:

Swift-AI - The Swift machine learning library.

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

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

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