Somnibyte/MLKit
A simple machine learning framework written in Swift 🤖
MLKit provides a collection of machine learning algorithms for Swift developers. It helps in creating apps that can learn from data by offering tools for tasks like predicting continuous values (regression) and grouping similar data (clustering). Developers building iOS or macOS applications would use this to integrate machine learning capabilities into their products.
152 stars. No commits in the last 6 months.
Use this if you are a Swift developer looking for a basic framework to implement machine learning features like regression or clustering into your applications.
Not ideal if you need a production-ready machine learning framework for commercial projects, as this is currently under active development and not stable.
Stars
152
Forks
14
Language
Swift
License
MIT
Category
Last pushed
Aug 28, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Somnibyte/MLKit"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
apple/coremltools
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
hollance/YOLO-CoreML-MPSNNGraph
Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
tensorflow/swift-apis
Swift for TensorFlow Deep Learning Library
hollance/Forge
A neural network toolkit for Metal
hanleyweng/CoreML-in-ARKit
Simple project to detect objects and display 3D labels above them in AR. This serves as a basic...