Swift for Tensorflow - a next-generation platform for machine learning, incorporating the latest research across machine learning, compilers, differentiable programming, systems design, and beyond.

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Bender - Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.
Swift AI - Highly optimized artificial intelligence and machine learning library written in Swift.
BrainCore - The iOS and OS X neural network framework.
swix - A bare bones library that includes a general matrix language and wraps some OpenCV for iOS development.
AIToolbox - A toolbox framework of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians.
MLKit - A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
Swift Brain - The first neural network / machine learning library written in Swift. This is a project for AI algorithms in Swift for iOS and OS X development. This project includes algorithms focused on Bayes theorem, neural networks, SVMs, Matrices, etc…
Perfect TensorFlow - Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux.
PredictionBuilder - A library for machine learning that builds predictions using a linear regression.
Awesome CoreML - A curated list of pretrained CoreML models.
Awesome Core ML Models - A curated list of machine learning models in CoreML format.

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