s4tf
spokestack-ios
Our great sponsors
| s4tf | spokestack-ios | |
|---|---|---|
| 1 | 1 | |
| 30 | 27 | |
| - | - | |
| 4.9 | 2.2 | |
| over 1 year ago | over 2 years ago | |
| Swift | Swift | |
| Apache License 2.0 | Apache License 2.0 |
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.
s4tf
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Future of swift on non Apple platforms (and non Arm architectures)
There has been active work recently on Swift for Tensorflow: https://github.com/s4tf/s4tf
spokestack-ios
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I'm making personalized voice super easy to use in iOS, and need help testing!
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.
What are some alternatives?
swift-colab - Swift kernel for Google Colaboratory
CoreML-Models - Largest list of models for Core ML (for iOS 11+)
NSFWDetector - A NSFW (aka porn) detector with CoreML
SwiftSpeech - A speech recognition framework designed for SwiftUI.
Enzyme - High-performance automatic differentiation of LLVM and MLIR.
SwiftCoreMLTools - A Swift library for creating and exporting CoreML Models in Swift
LlamaChat - Chat with your favourite LLaMA models in a native macOS app
Caffe2
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
Bender - Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
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