Types and functions that make it a little easier to work with Core ML in Swift.
- coreml
- core-ml
- machine-learning
- swift
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Types and functions that make it a little easier to work with Core ML in Swift.
Mirror only. Official repository is at https://git.zx2c4.com/wireguard-apple
Neural Network built in Apple Playground using Swift
Create custom, lightweight macOS apps from websites
Vapor ORM (queries, models, and relations) for NoSQL and SQL databases
TDBadgedCell is a table view cell class that adds a badge, similar to the badges in Apple's own apps
Socket framework for Swift using the Swift Package Manager. Works on iOS, macOS, and Linux.
IHKeyboardAvoiding is an elegant solution for keeping any UIView visible when the keyboard is being shown - no UIScrollView required!
Custom UIButton effect inspired by Google Material Design
Simple Swift class to provide all the configurations you need to create custom camera view in your app
PagingKit provides customizable menu UI. It has more flexible layout and design than the other libraries.
Swift HTTP Networking with stubbing and caching support
FeedKit is a Swift library for Reading and Generating RSS, Atom, and JSON feeds.
Show progress in your app's Dock icon
Markdown Preview Enhanced for macOS QuickLook
Simple QRCode reader in Swift
NXDrawKit is a simple and easy but useful drawing kit for iPhone
Fast sorted collections for Swift using in-memory B-trees
Simple timeline view implemented by UITableViewCell
Bolts is a collection of low-level libraries designed to make developing mobile apps easier.
CleanroomLogger provides an extensible Swift-based logging API that is simple, lightweight and performant
Allow users to easily share Diagnostics with your support team to improve the flow of fixing bugs.
A simple and easily customizable InputAccessoryView for making powerful input bars with autocomplete and attachments
Non-intrusive iOS UI library to implement overlay based interfaces