spokestack-ios VS Swift-Brain

Compare spokestack-ios vs Swift-Brain and see what are their differences.

Swift-Brain

Artificial intelligence/machine learning data structures and Swift algorithms for future iOS development. bayes theorem, neural networks, and more AI. (by vlall)
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spokestack-ios Swift-Brain
1 0
27 330
- -
2.2 0.0
over 1 year ago over 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.

spokestack-ios

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

We haven't tracked posts mentioning spokestack-ios yet.
Tracking mentions began in Dec 2020.

Swift-Brain

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

We haven't tracked posts mentioning Swift-Brain yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing spokestack-ios and Swift-Brain you can also consider the following projects:

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

Swift-AI - The Swift machine learning library.

SwiftSpeech - A speech recognition framework designed for SwiftUI.

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

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

Caffe2

Tensorflow-iOS

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

TensorSwift - A lightweight library to calculate tensors in Swift, which has similar APIs to TensorFlow's