Search Results for "tiny core linux"
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Showing 22 open source projects for "tiny core linux"
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Core AI Models
Model export recipes, Python primitives, and Swift runtime utilities
Core AI Models is Apple’s repository for building and running on-device AI models with Core AI. It provides export recipes that convert supported open-source models into Core AI model files. It also includes Python primitives for authoring custom PyTorch models that are better suited for Apple platform deployment. The Swift package adds runtime utilities that help developers integrate exported models into macOS and iOS apps. The repository also contains agent skills that guide coding... -
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Sync
JSON to Core Data and back. Swift Core Data Sync.
Sync eases your everyday job of parsing a JSON response and syncing it with Core Data. Sync is a lightweight Swift library that uses a convention-over-configuration paradigm to facilitate your workflow. Syncing JSON to Core Data is a repetitive tasks that often demands adding a lot of boilerplate code. Mapping attributes, mapping relationships, diffing for inserts, removals and updates are often tasks that don't change between apps. Taking this in account we took the challenge to abstract... -
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Aidoku
Free and open source manga reader for iOS and iPadOS
Aidoku is a free and open-source manga reading application for iOS and iPadOS that provides a customizable and ad-free experience for consuming manga content from a variety of sources. The app is designed with a modular architecture that uses a WebAssembly-based source system, allowing external extensions to handle content retrieval while keeping the core application lightweight. It supports both online reading through external providers and offline reading via downloaded content, offering... -
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TurboFieldfare
Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook
TurboFieldfare is a custom Swift and Metal runtime for running the instruction-tuned Gemma 4 26B-A4B model on Apple Silicon Macs with limited memory. Instead of loading the entire model, it keeps the shared core and KV cache in RAM while streaming only the routed experts required for each token from SSD. This approach reduces active memory use to roughly 2 GB while the installed model occupies about 14.3 GB of storage. The project includes a native Mac application, command-line tools, a... -
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tinycast
Tiny, fully native macOS launcher, hotkeys, and clipboard history
Tinycast is a lightweight native macOS launcher that combines application search, hotkeys, clipboard history, utilities, and automation in one palette. It is written with SwiftUI and AppKit and avoids Electron, telemetry, and third-party runtime dependencies. The app can fuzzy-search installed applications, launch or quit them, and assign global shortcuts to frequently used tools. Spotlight-backed file search provides quick access to chosen folders without maintaining another file index. Its... -
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SwiftLog
A Logging API for Swift
swift-log is the official, vendor-neutral logging API for Swift, providing a small, performant core that libraries and applications adopt to avoid logger lock-in. It defines common logging semantics and levels, plus a lightweight façade that backends can implement—so the same application code can run with different logging engines (e.g., OSLog on Apple platforms or custom sinks on servers). The package embraces Swift Package Manager, offers a clean Logger API, and is widely used across the... -
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Foundation
Provides core utilities, internationalization, and OS independence
The Foundation framework defines a base layer of functionality that is required for almost all applications. It provides primitive classes and introduces several paradigms that define functionality not provided by either the Objective-C runtime and language or Swift standard library and language. This project, swift-corelibs-foundation, provides an implementation of the Foundation API for platforms where there is no Objective-C runtime. On macOS, iOS, and other Apple platforms, apps should... -
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Swift for GraphQL
The Swift GraphQL implementation for macOS and Linux
The Swift implementation for GraphQL, a query language for APIs created by Facebook. The GraphQLSchema object can be used to define GraphQL Schemas and Types. These schemas are made up of types, fields, arguments, and resolver functions. This repo only contains the core GraphQL implementation and does not focus on the ease of schema creation. For a better experience when creating your GraphQL schema use Graphiti. This package supports GraphQL subscription, but until the integration of... -
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Swift Guide
Swift Featured Projects in brain Mapping
SwiftGuide is a comprehensive, community-maintained guide to the Swift programming language, designed to serve as both a learning resource and a handy reference. It covers all major language aspects: syntax, control flow, functions, closures, generics, protocols, extensions, memory management, concurrency, and the standard library. Each topic typically includes clear explanations, annotated code snippets, and tips for best practices, helping readers understand both how features work and how... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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swift-html
Swift DSL for type-safe, extensible, and transformable HTML documents
A Swift DSL for type-safe, extensible, and transformable HTML documents. The popular choice for rendering HTML in Swift these days is to use templating languages, but they expose your application to runtime errors and invalid HTML. Our library prevents these runtime issues at compile-time by embedding HTML directly into Swift’s powerful type system. Underneath the hood these tag functions html, body, h1, etc., are just creating and nesting instances of a Node type, which is a simple Swift... -
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Zero to Mastery Deep Learning TensorFlow
All course materials for the Zero to Mastery Deep Learning with TF
This project is a comprehensive, code-first deep learning curriculum built around TensorFlow and Keras, designed to guide learners from foundational concepts to practical model deployment through hands-on experimentation. It is structured as a series of progressively complex Jupyter notebooks that emphasize writing and understanding code before diving into theory, reinforcing learning through repetition and application. The material covers core machine learning workflows including... -
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ThumbHash
A very compact representation of an image placeholder
ThumbHash is a compact image placeholder format designed to give visually rich, low-bandwidth previews while the full image loads. It encodes an image into a tiny byte array that captures approximate colors, gradients, and aspect ratio, then decodes that array back into a blurred thumbnail at render time. Unlike simple color blocks or very low-resolution thumbnails, ThumbHash packs more detail per byte and includes alpha support, so it works well even for images with transparency. The design... -
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GraphQLite
Rapid GraphQL prototyping, development, and testing. Core Server
GraphQLite is an open-source GraphQL server, using the latest technologies. Queries, Mutations, and event-based (Pub/Sub) Subscriptions. With our easy-to-use schema generator, the Database tables, the GraphQL schema, and all the resolvers are created automatically. GraphQLite is a perfect match for developers who are looking to get the most out of PostgreSQL. It takes the best features of PostgreSQL and wraps it in an API that's easy to use. With the industry-standard JSON Web Token (JWT)... -
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OpenCombine
Open source implementation of Apple's Combine framework
OpenCombine is an open-source implementation of Apple’s Combine framework, providing a reactive programming model for handling asynchronous data streams in Swift across multiple platforms. It replicates the core concepts of Combine, such as publishers, subscribers, and operators, enabling developers to process values over time in a declarative and composable way. One of its primary goals is compatibility, allowing developers to use Combine-like APIs on platforms where Apple’s official implementation is unavailable, including older Apple operating systems, Linux, Windows, and WebAssembly environments. ... -
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Popovers
A library to present popovers. Simple, modern, and highly customizable
A library to present popovers. Present any view above your app's main content. Attach to source views or use picture-in-picture positioning. Display multiple popovers at the same time with smooth transitions. Supports SwiftUI, UIKit, and multitasking windows on iPadOS. Highly customizable API that's super simple — just add .popover. Drop-in replacement for iOS 14's Menu that works on iOS 13. SwiftUI-based core for a lightweight structure. 0 dependencies. It's 2023 — about time that popovers... -
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Swifter
Tiny http server engine written in Swift programming language
Tiny http server engine written in Swift programming language. Lands on CocoaPods and others. Supports the latest non-beta Xcode and SPM. Stable. Stable branch plus experimental web-framework layer. Next version of Swifter (async IO). -
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Blueprints
A framework that is meant to make your life easier
Blueprints is a collection of flow layouts that is meant to make your life easier when working with collection view flow layouts. It comes with two built-in layouts that are highly flexible and easy to configure at the call site. They support properties like items per row and items per column; this will calculate the layout attributes needed for fitting the number of views that you want to appear on the screen. The framework also provides a good base for your custom implementations. By... -
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Unwrap
Learn Swift interactively on your iPhone
Unwrap is a Swift-based macOS application designed to help developers and learners improve their Swift programming skills through interactive challenges and structured lessons. Created as a companion to educational content, it focuses on teaching fundamental and advanced concepts in a hands-on manner. The app presents exercises that require users to write and refine Swift code, reinforcing understanding through practice rather than passive learning. It covers a wide range of topics,... -
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Imagine Engine
A project to create a blazingly fast Swift game engine
Welcome to Imagine Engine, an ongoing project that aims to create a fast, high-performance Swift 2D game engine for Apple's platforms that is also a joy to use. You are hereby invited to participate in this new community to build a tool with an ambitious but clear goal - to enable you to easily build any game that you can imagine. Imagine Engine uses Core Animation as its rendering backend - just like Apple's UI frameworks like UIKit and AppKit do. By leveraging the power of Core Animation's... -
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LocoKit
Location, motion, and activity recording framework for iOS
A Machine Learning based location recording and activity detection framework for iOS. Combined, simplified Core Location and Core Motion recording. Filtered, smoothed, and simplified location and motion data. Near real-time stationary / moving state detection. Automatic energy use management, enabling all-day recording. Automatic stopping and restarting of recording, to avoid wasteful battery use. Machine Learning-based activity type detection. Improved detection of Core Motion activity... -
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Tiny Constraints
Nothing but sugar
TinyConstraints is the syntactic sugar that makes Auto Layout sweeter for human use. -
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Perfect: Server-Side Swift
The Perfect core toolset and framework for Swift Developers
Perfect is a web server and toolkit for developers using the Swift programming language to build applications and other REST services. It lets developers build using only Swift to program both the client-facing and server-side of their projects. It’s the ideal backbone for cloud and mobile technologies. Developers can be more productive and efficient using Perfect to write less code and work in one fundamental language for all their needs. With Perfect, you can write an entire project in one...
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