SwiftSpeech VS spokestack-ios

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

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SwiftSpeech spokestack-ios
1 1
273 27
- -
0.0 2.2
about 1 year ago about 1 year ago
Swift 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.

SwiftSpeech

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

We haven't tracked posts mentioning SwiftSpeech yet.
Tracking mentions began in Dec 2020.

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.

What are some alternatives?

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

Voice Overlay iOS - 🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI

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.

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

Revolver - A framework for building fast genetic algorithms in Swift.

Tensorflow-iOS

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

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

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

Serrano - A Swift deep learning library with Accelerate and Metal support.

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

Caffe2