Awesome Core ML Modelslikedan/Awesome-CoreML-Models
A curated list of machine learning models in CoreML format.
13 libraries, 1 updated this year
Swift entries center on Apple platforms. Two curated lists collect pretrained models already converted to Core ML, which is how most iOS apps ship machine learning today. Bender runs neural networks on Metal, and Swift AI and AIToolbox implement common algorithms in pure Swift.
13 libraries
A curated list of machine learning models in CoreML format.
A next-generation platform for machine learning, incorporating the latest research across machine learning, compilers, differentiable programming, systems design, and beyond.
Highly optimized artificial intelligence and machine learning library written in Swift.
Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.
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.
A curated list of pretrained CoreML models.
A bare bones library that includes a general matrix language and wraps some OpenCV for iOS development.
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...
Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux.
A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
On-device streaming speech recognition SDK for iOS with Swift bindings (SPM). Based on NVIDIA NeMo FastConformer (80 ms cache-aware lookahead). Companion Silero VAD, wake-word, and 14-command KWS via same runtime.
A library for machine learning that builds predictions using a linear regression.