AIToolbox VS CoreML-Models

Compare AIToolbox vs CoreML-Models 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)
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AIToolbox CoreML-Models
- 2
792 6,221
- -
0.0 2.3
over 3 years ago 10 months ago
Swift Python
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.

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.

What are some alternatives?

When comparing AIToolbox and CoreML-Models 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.

Tensorflow-iOS

Caffe2

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

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

BrainCore - The iOS and OS X neural network framework

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

MLKit - A simple machine learning framework written in Swift 🤖