Tensorflow-iOS
Swift-AI
Our great sponsors
| Tensorflow-iOS | Swift-AI | |
|---|---|---|
| - | 1 | |
| - | 6,012 | |
| - | 0.3% | |
| - | 0.0 | |
| - | almost 7 years ago | |
| Swift | ||
| - | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
Tensorflow-iOS
We haven't tracked posts mentioning Tensorflow-iOS yet.
Tracking mentions began in Dec 2020.
Swift-AI
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Are people using Swift for machine learning / differentiable programming outside of Apple?
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?
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
BrainCore - The iOS and OS X neural network framework
Bender - Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
PDFGenerator - A simple generator of PDF written in Swift.
Revolver - A framework for building fast genetic algorithms in Swift.
SpriteKit+Spring - SpriteKit API reproducing UIView's spring animations with SKAction
Swift-Brain - Artificial intelligence/machine learning data structures and Swift algorithms for future iOS development. bayes theorem, neural networks, and more AI.
EVURLCache - a NSURLCache subclass for handling all web requests that use NSURLRequest