Search Results for "simulation model library"

Showing 15 open source projects for "simulation model library"

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  • 1
    TurboFieldfare

    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 streaming installer, a Swift library, and an experimental OpenAI-compatible local server. ...
    Downloads: 12 This Week
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  • 2
    KMM ViewModel

    KMM ViewModel

    Library to share Kotlin ViewModels with SwiftUI

    A library that allows you to share ViewModels between Android and iOS. The latest version of the library uses Kotlin version 1.9.22. Compatibility versions for older and/or preview Kotlin versions are also available. When subclassing your Kotlin ViewModel in Swift you might experience some issues in the way those ViewModels are cleared. Since currentTimeFlow is a StateFlow we don't ever expect it to fail, which is why we are using the assertNoFailure. However, in this case you'll notice that...
    Downloads: 0 This Week
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  • 3
    TootSDK

    TootSDK

    Cross-platform Swift library for Mastodon and the fediverse

    Cross-platform Swift library for the Mastodon API. TootSDK is a framework for Mastodon and the Fediverse, for iOS. It provides a toolkit for authorizing a user with an instance and interacting with their posts. TootSDK is a community-developed SDK for Mastodon and the Fediverse. It is designed to work with all major servers (Mastodon, Pleroma, PixelFed, etc). You can use TootSDK to build a client for Apple operating systems, or Linux with Vapor.
    Downloads: 0 This Week
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  • 4
    Files

    Files

    A nicer way to handle files & folders in Swift

    Files is a lightweight Swift library that provides a more expressive and user-friendly interface for working with files and directories compared to the native FileManager API. It abstracts common file system operations into an object-oriented model, enabling developers to interact with files and folders using intuitive constructs such as Folder and File types. The library simplifies tasks like reading, writing, moving, renaming, and deleting files while maintaining robust error handling through Swift’s try-catch mechanisms. ...
    Downloads: 0 This Week
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  • 5
    Sync

    Sync

    JSON to Core Data and back. Swift Core Data Sync.

    ...Sync uses the knowledge of your Core Data model to infer all the mapping between your JSON and Core Data, once you use it, it feels so obvious that you'll wonder why you weren't doing this before.
    Downloads: 0 This Week
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  • 6
    CalendarKit

    CalendarKit

    Calendar for Apple platforms in Swift

    CalendarKit is a Swift calendar UI library for iOS and Mac Catalyst. It looks similar to the Apple Calendar app out-of-the-box, while allowing customization when needed. CalendarKit is composed of multiple modules which can be used together or independently. CalendarKit requires EventDataSource to return an array of objects conforming to EventDescriptor protocol, specifying all the information needed to display a particular event.
    Downloads: 0 This Week
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  • 7
    SwagGen

    SwagGen

    OpenAPI/Swagger 3.0 Parser and Swift code generator

    ...SwagGen includes a bundled template for generating a client-side Swift library for interfacing with the Swagger spec. It includes support for model inheritance, shared enums, discrete and mutable request objects, inline schemas, Codable and Equatable models, configurable options, generic networking stack, and many other niceties.
    Downloads: 0 This Week
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  • 8
    Differ

    Differ

    Swift library to generate differences and patches between collections

    ...There’s a lot more to calculating diffs than performing table view animations easily. Wherever you have code that propagates added/removed/moved callbacks from your model to your user interface, you should consider using a library that can calculate differences. Animating small batches of changes is usually going to be faster and provide a more responsive experience than reloading all of your data. Calculating and acting on differences should also aid you in making a clear separation between data and user interface, and hopefully provide a more declarative approach: your model performs state transition, then your UI code performs appropriate actions based on the calculated differences to that state.
    Downloads: 0 This Week
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  • 9
    DeepDiff

    DeepDiff

    Amazingly incredible extraordinary lightning fast diffing in Swift

    DeepDiff is a Swift library for efficiently calculating differences between collections and models. It is designed for iOS, macOS, and Swift developers who need fast diffing when updating lists, tables, collection views, or other ordered data displays. The library relies on models conforming to a diff-aware protocol so items can be uniquely identified and compared. This makes it useful for deciding which elements were inserted, deleted, moved, or replaced between two versions of a dataset....
    Downloads: 0 This Week
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  • 10
    course-v3

    course-v3

    The 3rd edition of course.fast.ai

    course-v3 repository contains the complete learning materials for the third edition of the Practical Deep Learning for Coders course developed by the fast.ai research group. The repository includes Jupyter notebooks, lesson materials, datasets, and supporting documentation used in the course to teach modern deep learning techniques. The course emphasizes a top-down approach to learning artificial intelligence, where students begin by building practical models and later study the underlying...
    Downloads: 0 This Week
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  • 11
    Gloss

    Gloss

    A shiny JSON parsing library in Swift

    A shiny JSON parsing library in Swift.
    Downloads: 1 This Week
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  • 12
    IBPCollectionViewCompositionalLayout

    IBPCollectionViewCompositionalLayout

    Backport of UICollectionViewCompositionalLayout to earlier iOS 12

    ...The library closely mirrors Apple's API so migration requires minimal conceptual changes. It was created to reduce duplicate layout code during the transition to newer UIKit versions.
    Downloads: 15 This Week
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  • 13
    Advance

    Advance

    Physics-based animations for iOS, tvOS, and macOS

    ...Animator allows for more flexibility in the types of animation that can be performed, but gives up some convenience in order to do so. Specifically, animators allow for any type of animation or simulation to be performed for a single value. Simulated animations use a simulation function to power a physics-based transition. Simulation functions are types conforming to the SimulationFunction protocol. Values conforming to the VectorConvertible protocol can be animated by Advance. Conforming types can be converted to and from a Vector implementation.
    Downloads: 0 This Week
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  • 14
    Himotoki

    Himotoki

    A type-safe JSON decoding library purely written in Swift

    Himotoki is a type-safe JSON decoding library written purely in Swift. This library is highly inspired by the popular Swift JSON parsing libraries: Argo and ObjectMapper.
    Downloads: 0 This Week
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  • 15
    HandyJSON

    HandyJSON

    A handy swift json-object serialization/deserialization library

    HandyJSON is a framework written in Swift which makes converting model objects( pure classes/structs ) to and from JSON easy on iOS. Compared with others, the most significant feature of HandyJSON is that it does not require the objects inherit from NSObject(not using KVC but reflection), nor implements a 'mapping' function(writing value to memory directly to achieve property assignment). HandyJSON is totally dependent on the memory layout rules inferred from Swift runtime code. We are...
    Downloads: 0 This Week
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