AIToolbox VS Swift-AI

Compare AIToolbox vs Swift-AI 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)

Swift-AI

The Swift machine learning library. (by Swift-AI)
#AI
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AIToolbox Swift-AI
0 1
792 5,995
- 0.0%
0.0 0.0
over 3 years ago almost 7 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.

Swift-AI

Posts with mentions or reviews of Swift-AI. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-25.
  • Are people using Swift for machine learning / differentiable programming outside of Apple?
    4 projects | /r/swift | 25 Jun 2021
    Before CoreML was released (and also before BNNS), I wrote SwiftAI. The project made heavy use of Accelerate and the algorithms were written from scratch. It was a great project, and I planned to make a lot of additions, but CoreML came out pretty soon afterward and made the project mostly obsolete. Still a great learning experience and there was a fair bit of interest at the time.

What are some alternatives?

When comparing AIToolbox and Swift-AI you can also consider the following projects:

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

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

BrainCore - The iOS and OS X neural network framework

Tensorflow-iOS

PDFGenerator - A simple generator of PDF written in Swift.

SpriteKit+Spring - SpriteKit API reproducing UIView's spring animations with SKAction

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

Caffe2

EVURLCache - a NSURLCache subclass for handling all web requests that use NSURLRequest

MLKit - A simple machine learning framework written in Swift 🤖

protobuf-swift - Google ProtocolBuffers for Apple Swift

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