Awesome GitHub RepositoriesNative Windows Execution

Redis is a high-performance in-memory key-value store that functions as a distributed cache, message broker, and NoSQL database. It provides sub-millisecond read and write access to data stored in RAM and can operate as a vector database for indexing high-dimensional embeddings. The system supports a wide range of data storage and synchronization primitives, including the management of strings, hashes, lists, sets, and JSON documents. It enables real-time data operations through atomic transactions, hybrid persistence using snapshots and append-only logs, and high-availability configurations

oneAPI Threading Building Blocks (oneTBB)

Skim is a cross-platform interactive fuzzy finder that runs as a terminal application, a Rust library, a Vim and Neovim plugin, and a shell integration tool. It provides real-time filtering and selection from lists of items, supporting keyboard and mouse navigation, live preview panes, and multi-select functionality across Linux, macOS, and Windows. The tool distinguishes itself through a composable query expression tree that supports fuzzy, exact, inverse, prefix, suffix, and logical AND/OR operators, combined with a Smith-Waterman scoring engine that penalizes typos and gaps for natural rel

WinObjC 是 Windows 操作系统上 Objective-C 语言运行时和对象模型的实现。其主要目的是支持 iOS 应用程序的移植，实现在 Windows 上执行 Objective-C 代码和 iOS API。 该项目具有一个原生 API 桥接器，将 Objective-C 系统框架调用映射到原生 Windows API 函数。它包括一个将 Xcode 项目目标和工作区转换为 Visual Studio 格式的工具链，并将可视化 Storyboard 设计文件转换为活跃的屏幕界面元素。 该代码库涵盖了二进制互操作性、多架构编译和用户界面事件的路由。它还提供了用于在调试期间检查运行时内存状态和可视化原生对象的诊断工具。 项目输出以 NuGet 包的形式分发。

MMDetection3D is an open-source toolbox for 3D perception, providing a unified framework for detecting and segmenting objects in three-dimensional environments. It supports a range of core tasks including monocular 3D object detection from single camera images, LiDAR-based 3D object detection from raw point clouds, and multi-modal fusion that combines camera images with LiDAR data. The toolbox also covers point cloud semantic segmentation, assigning class labels to every point in a scan for scene understanding. The project distinguishes itself through a config-driven pipeline that orchestrate

ollama-js 是一个 JavaScript 客户端库和 API 封装器，提供了一个用于交互和管理大语言模型的编程接口。它支持在本地和云端环境中执行模型，促进了对话文本的生成和模型生命周期的管理。 该项目通过提供专门的模型管理工具脱颖而出，包括下载、创建和删除模型的能力，以及定义自定义模型蓝图和提示词模板的能力。它还提供了一个向量嵌入客户端，用于生成数值文本表示，以支持语义搜索和检索流水线。 该库涵盖了广泛的功能，包括用于处理图像的多模态分析、内部推理轨迹的捕获以及用于数据提取的结构化 JSON 模式的强制执行。它进一步通过工具调用和通过异步生成器流式传输响应，支持高级模型交互。 该库使用 TypeScript 编写。

This project is a native Windows port of the Redis in-memory key-value store. It provides a high-speed database that maintains datasets in RAM while using periodic snapshots to disk for data persistence. The implementation includes a background system service wrapper, allowing the data store to be installed as a Windows service that starts automatically upon computer boot. It utilizes native Windows compilation to enable execution directly on the host operating system. The system covers in-memory data caching and local data persistence, ensuring that information is recovered after a process