CoreML-Models VS AIToolbox

Compare CoreML-Models vs AIToolbox 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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CoreML-Models AIToolbox
2 -
6,212 792
- -
2.3 0.0
10 months ago over 3 years ago
Python Swift
MIT License Apache License 2.0
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.

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.

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.

What are some alternatives?

When comparing CoreML-Models and AIToolbox you can also consider the following projects:

Swift-AI - The Swift machine learning library.

Tensorflow-iOS

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

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

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

MLKit - A simple machine learning framework written in Swift 🤖

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