spokestack-ios VS CoreML-samples

Compare spokestack-ios vs CoreML-samples and see what are their differences.

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spokestack-ios CoreML-samples
1 -
27 41
- -
2.2 0.0
over 2 years ago almost 7 years ago
Swift Jupyter Notebook
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.
  • I'm making personalized voice super easy to use in iOS, and need help testing!
    1 project | /r/iOSProgramming | 24 Apr 2021
    Some of you may already be familiar with the open-source Spokestack Swift libraries. Want to help shape a new product that will change what's possible with Voice AI for makers, enthusiasts, prototypers, and creators? We're beta testing a no-code AutoML service that will let you [redacted because we're not ready to say it publicly yet], using your own voice.

CoreML-samples

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

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

What are some alternatives?

When comparing spokestack-ios and CoreML-samples you can also consider the following projects:

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

SwiftSpeech - A speech recognition framework designed for SwiftUI.

Tensorflow-iOS

SwiftCoreMLTools - A Swift library for creating and exporting CoreML Models in Swift

Caffe2

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

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

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

Swift-AI - The Swift machine learning library.