Search Results for "windows driver model"
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Showing 7240 open source projects for "windows driver model"
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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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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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WireGuard for Windows
Fully-featured WireGuard client for Windows
WireGuard for Windows is the official full-featured WireGuard client for Microsoft Windows, built to provide native VPN functionality using the high-performance WireGuardNT kernel driver. The application delivers an integrated graphical and service-based experience that aligns with standard Windows networking, access control, and service management capabilities. -
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Proton VPN Windows App
Official ProtonVPN Windows app
...The app integrates a custom TAP driver and a split tunnel callout driver to help route traffic securely and prevent leaks, and is structured so the GUI and service components work together to deliver a smooth user experience on Windows desktops and laptops. ProtonVPN’s Windows client supports both free and paid users with access to Proton’s global server network, encrypted tunnels, and privacy-first policies that block logging and respect user anonymity. -
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ArangoDB Java Driver
The official ArangoDB Java driver
ArangoDB Java Driver is the official Java client for interacting with ArangoDB, a multi-model NoSQL database that supports document, key-value, and graph storage. This driver provides a high-level API for managing databases, executing AQL queries, and handling transactions efficiently. -
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ArangoDB JavaScript Driver
The official ArangoDB JavaScript driver
ArangoJS is the official JavaScript client for ArangoDB, a multi-model NoSQL database that supports document, key-value, and graph data models. This client provides a powerful yet simple API to interact with ArangoDB from Node.js or browser-based applications. -
Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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Driver.js
A lightweight, dependency-free JavaScript library
Driver.js is a lightweight, framework-agnostic JavaScript library for building guided tours, feature spotlights, and product walkthroughs. It programmatically highlights elements on a page, dims the background, and attaches callouts so users learn new flows without leaving the UI. The API lets you define steps, order, and behavior, while handling positioning, scrolling, and viewport collisions gracefully. It strives to be unobtrusive: tours can be triggered contextually, resumed, or... -
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Model Zoo
Please do not feed the models
FluxML Model Zoo is a collection of demonstration models built with the Flux machine learning library in Julia. The repository provides ready-to-run implementations across multiple domains, including computer vision, natural language processing, and reinforcement learning. Each model is organized into its own project folder with pinned package versions, ensuring reproducibility and stability. The examples serve both as educational tools for learning Flux and as practical starting points for... -
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model-viewer
Easily display interactive 3D models on the web and in AR
Easily display interactive 3D models on the web & in AR. Use our Editor to test your 3D models and download a starter website. Generate your own 3D Twitter card for any website. :focus-visible is an as-yet unimplemented web platform feature that enables content authors to style a component on the condition that it received focus in such a way that suggests the focus state should be visibly evident. The :focus-visible capability has not been implemented in any stable browsers yet. If the... -
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SQLite JDBC Driver
SQLite JDBC Driver
SQLite JDBC is a library for accessing and creating SQLite database files in Java. Our SQLiteJDBC library requires no configuration since native libraries for major OSs, including Windows, Mac OS X, Linux etc., are assembled into a single JAR (Java Archive) file. The usage is quite simple; download our sqlite-jdbc library, then append the library (JAR file) to your classpath. SQLite JDBC is a library for accessing SQLite databases through the JDBC API. SQLite supports on-memory database... -
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Windows Presentation Foundation (WPF)
Framework for building Windows desktop applications
Windows Presentation Foundation (WPF) is a UI framework for building Windows desktop applications. WPF supports a broad set of application development features, including an application model, resources, controls, graphics, layout, data binding and documents. WPF uses the Extensible Application Markup Language (XAML) to provide a declarative model for application programming. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Windows-MCP
MCP server enabling AI agents to control and automate Windows OS
Windows-MCP is a lightweight open source project designed to connect AI agents with the Windows operating system through a Model Context Protocol server. It acts as a bridge that allows large language models to directly interact with desktop environments, enabling automated control over applications, files, and system interfaces. Windows-MCP provides capabilities such as file navigation, application management, UI interaction, and QA testing workflows, making it suitable for building autonomous desktop agents. ... -
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Model Explorer
A modern model graph visualizer and debugger
Model Explorer is a visual tool for exploring, debugging, and optimizing ML models deployed on edge devices. Developed by Google AI Edge, it offers a browser-based interface to inspect layer-wise performance, memory usage, and inference timing of TensorFlow Lite and other supported models. It’s a powerful utility for developers optimizing models for constrained environments. -
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Proton Drive for Windows
Proton’s official Windows desktop client repository
Proton Drive for Windows is Proton’s official Windows desktop client repository, implemented as a native Windows application with a C# codebase and supporting assets, installer tooling, and solution-level project organization. The repository is positioned primarily as source transparency for the official app distributed through Proton, with distribution guidance pointing users to download stable releases from Proton’s official channels rather than relying on GitHub releases. ... -
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PostgreSQL JDBC Driver
Postgresql JDBC Driver
An Open source JDBC driver written in Pure Java (Type 4), which communicates using the PostgreSQL native network protocol. The PostgreSQL JDBC Driver allows Java programs to connect to a PostgreSQL database using standard, database-independent Java code. pgJDBC is an open source JDBC driver written in Pure Java (Type 4), and communicates in the PostgreSQL native network protocol. Because of this, the driver is platform-independent; once compiled, the driver can be used on any system. pgJDBC... -
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Laravel Model States
State support for models
This package adds state support to models. It combines concepts from the state pattern and state machines. It is recommended that you're familiar with both patterns if you're going to use this package. Imagine a model Payment, which has three possible states: Pending, Paid, and Failed. This package allows you to represent each state as a separate class, handles serialization of states to the database behind the scenes, and allows for easy and controller state transitions. -
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OpenVINO Model Server
A scalable inference server for models optimized with OpenVINO
OpenVINO™ Model Server is a high-performance inference serving system designed to host and serve machine learning models that have been optimized with the OpenVINO toolkit. It’s implemented in C++ for scalability and efficiency, making it suitable for both edge and cloud deployments where inference workloads must be reliable and high throughput. The server exposes model inference via standard network protocols like REST and gRPC, allowing any client that speaks those protocols to request... -
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Open Model Zoo
Pre-trained Deep Learning models and demos
Open Model Zoo is a large repository of high-quality pre-trained deep learning models and demonstration applications designed to work with the OpenVINO™ toolkit, offering a comprehensive starting point for a wide range of AI and computer vision workloads. It includes hundreds of models covering object detection, classification, segmentation, pose estimation, speech recognition, text-to-speech, and more, many of which are already converted into formats optimized for inference on CPUs, GPUs,... -
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MongoDB Go Driver
The Go driver for MongoDB
The MongoDB supported driver for Go. The recommended way to get started using the MongoDB Go driver is by using go modules to install the dependency in your project. This can be done either by importing packages from go.mongodb.org/mongo-driver and having the build step install the dependency. When using a version of Go that does not support modules, the driver can be installed using dep. To get started with the driver, import the mongo package and create a mongo.Client with the Connect... -
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NVIDIA Model Optimizer
A unified library of SOTA model optimization techniques
Model Optimizer is a unified library that provides state-of-the-art techniques for compressing and optimizing deep learning models to improve inference efficiency and deployment performance. It brings together multiple optimization strategies such as quantization, pruning, distillation, and speculative decoding into a single cohesive framework. The library is designed to reduce model size and computational requirements while maintaining accuracy, making it particularly valuable for deploying... -
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MongoDB C++ Driver
C++ Driver for MongoDB
The MongoDB C++ Driver is the official client library for integrating MongoDB with C++ applications, enabling efficient document-based data storage and retrieval. -
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MongoDB C Driver
The Official MongoDB driver for C language
The MongoDB C Driver is the official client library for MongoDB, enabling C and C++ applications to interact with MongoDB databases efficiently. It provides a robust and scalable interface for building applications that require document-based data storage. -
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Laravel Model Settings
Model Settings for your Laravel app
The package requires PHP 8.1+ and follows the FIG standards PSR-1, PSR-2, PSR-4 and PSR-12 to ensure a high level of interoperability between shared PHP. -
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Laravel Model Status
Easily add statuses to your models
Imagine you want to have an Eloquent model hold a status. It's easily solved by just adding a status field to that model and be done with it. But in case you need a history of status changes or need to store some extra info on why a status changed, just adding a single field won't cut it. -
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Model Caching for Laravel
Eloquent model-caching made easy.
This is an MIT-licensed open source project with its ongoing development made possible by the support of the community. I created this package in response to a client project that had complex, nested forms with many <select>'s that resulted in over 700 database queries on one page. I needed a package that abstracted the caching process out of the model for me and one that would let me cache custom queries, as well as cache model relationships. This package is an attempt to address those... -
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TensorFlow Model Garden
Models and examples built with TensorFlow
The TensorFlow Model Garden is a repository with a number of different implementations of state-of-the-art (SOTA) models and modeling solutions for TensorFlow users. We aim to demonstrate the best practices for modeling so that TensorFlow users can take full advantage of TensorFlow for their research and product development. To improve the transparency and reproducibility of our models, training logs on TensorBoard.dev are also provided for models to the extent possible though not all models... -
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Large Concept Model
Language modeling in a sentence representation space
Large Concept Model is a research codebase centered on concept-centric representation learning at scale, aiming to capture shared structure across many categories and modalities. It organizes training around concepts (rather than just raw labels), encouraging models to understand attributes, relations, and compositional structure that transfer across tasks. The repository provides training loops, data tooling, and evaluation routines to learn and probe these concept embeddings, typically...
