Search Results for "docs"
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174 projects for "docs" with 1 filter applied:
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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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Grounded Docs
Open-Source Alternative to Context7, Nia, and Ref.Tools
Grounded Docs is an open-source implementation of a Model Context Protocol server designed to expose documentation and structured information as tools that AI agents can query. The project allows language models and agent frameworks to retrieve and interact with documentation through standardized MCP interfaces. By acting as an intermediary layer between documentation sources and AI tools, the server enables models to access structured documentation in a consistent and machine-readable format. ... -
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Generative AI Docs
Documentation for Google's Gen AI site - including Gemini API & Gemma
Generative AI Docs is Google’s official documentation repository for Gemini, Vertex AI, and related generative AI APIs. It contains guides, API references, and examples for developers building applications using Google’s large language models, text-to-image models, embeddings, and multimodal capabilities. The repository includes markdown source files that power the Google AI developer documentation site, as well as sample code snippets in Python, JavaScript, and other languages that demonstrate how to use Google’s Generative AI SDKs and REST APIs effectively. -
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PHP Docs Samples
A collection of samples on how to call Google Cloud services
PHP Docs Samples repository is a broad collection of PHP examples that demonstrate how to call and work with Google Cloud services from PHP applications. It is designed as a companion to Google Cloud documentation, giving developers ready-to-run code patterns they can study, adapt, and integrate into their own projects. Rather than focusing on a single product, the repository spans many services and use cases, making it useful for developers who need a central reference point for PHP-based cloud integrations. ... -
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Office Docs PowerShell
PowerShell Reference for Office Products
...It collects guidance for admins on tasks such as Exchange Online mail flow, SharePoint site provisioning, Teams configuration, and tenant-level policy settings—often including parameter examples, common scenarios, and troubleshooting notes. The docs are structured so operators can copy/paste ready examples into their automation scripts or adapt them for bulk changes using CSV-driven loops. Because cloud management frequently involves idempotent, auditable operations, the content emphasizes safe patterns (what changes will do, UI equivalents, and rollback hints). Versioning matters here: the repository tracks changes as Microsoft updates service APIs and cmdlets, helping teams stay current and avoid deprecated workflows. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Laravel Request Docs
Effortless API documentation tool for Laravel applications
The Hassle-Free automatic API documentation generation for Laravel. Automatic rules fetching from injected Request and by regexp. Automatic routes fetching from Laravel Routes. Support for Laravel logs. Support for SQL query and query time. Support for HTTP response time and memory consumption. Support for Authorization Headers. Support for File uploads, and support for Eloquents events. Display extra documentation using markdown. Saves the history of previous requests. Added filters to... -
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Google Engineering Practices Docs
Google's Engineering Practices documentation
The eng-practices project by Google is a public repository that documents the company’s established engineering best practices, accumulated through years of large-scale software development across diverse teams and languages. Its purpose is to share Google’s collective experience in areas such as code review, collaboration, and quality assurance with the broader software engineering community. The repository provides practical guidelines designed to help developers and reviewers produce... -
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Django
The Web framework for perfectionists with deadlines
Django is a high-level, free and open-source Python web framework founded on the Model–Template–View (MTV) pattern, designed to facilitate rapid development of secure, maintainable, and scalable database-driven websites. First, read docs/intro/install.txt for instructions on installing Django. Next, work through the tutorials in order (docs/intro/tutorial01.txt, docs/intro/tutorial02.txt, etc.). If you want to set up an actual deployment server, read docs/howto/deployment/index.txt for instructions. You'll probably want to read through the topical guides (in docs/topics) next; from there you can jump to the HOWTOs (in docs/howto) for specific problems, and check out the reference (docs/ref) for gory details. -
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Natural Docs
Multi-language source code documentation tool
Natural Docs is an open-source documentation generator for multiple programming languages. You document your code in a natural syntax that reads like plain English. Natural Docs then scans your code and builds high-quality HTML documentation from it. SourceForge houses the source code and issue database for the old Perl version of Natural Docs, version 1.52. -
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docToolchain
AsciiDoc Toolchain for technical Software Documentation
...The framework encourages documentation and architecture artifacts to live alongside source code, versioned in the same repositories, so changes in code and docs can evolve together. It supports templates (such as the arc42 architecture template), reusable snippets, and modular documentation where different aspects (API docs, architecture, user guides) are composed. The toolchain also includes validation stages (e.g. sanity checks, broken link detection) to catch issues before publication. -
$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
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drawio-desktop
Security-first diagramming for teams
Security-first diagramming for teams. Bring your storage to our online tool, or go max privacy with the desktop app. Works with Google Drive and Google Workplace (G Suite). Use add-ons for Docs, Sheets and Slides. Works with OneDrive and Sharepoint. Office 365 app for Word, Powerpoint and Excel. Highest-rated Confluence app in the Atlassian Marketplace. Works in Jira too. Works with GitHub, GitLab and Dropbox for visual documentation in distributed teams. Download diagrams.net Desktop for offline use on Windows, macOS, Linux and ChromeOS. ... -
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diagrams.net
Security-first diagramming for teams
Bring your storage to our online tool, or go max privacy with the desktop app. Diagram files created in 2005 will load in the app today. Works with Google Drive and Google Workplace (G Suite). Use add-ons for Docs, Sheets and Slides. It works with OneDrive and Sharepoint. Office 365 app for Word, Powerpoint and Excel. Highest-rated Confluence app in the Atlassian Marketplace. Works in Jira too. Works with GitHub, GitLab and Dropbox for visual documentation in distributed teams. You can download diagrams.net Desktop for offline use on Windows, macOS, Linux and ChromeOS. ... -
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OpenMLSys-ZH
Machine Learning Systems: Design and Implementation
...Its aim is to make the technical content, tutorials, architecture descriptions, and user guides of the OpenMLSys system more accessible to Chinese-speaking users. The repo mirrors the structure of the original OpenMLSys docs: sections on system design, API references, deployment instructions, module overviews, and example workflows. It helps bridge language barriers in open machine learning systems by providing side-by-side translation or localized explanations. The repository includes scripts or tooling to keep translation synchronized with upstream changes, versioning, and possibly translation metadata (contributors, timestamp). ... -
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Telego
Telegram Bot API library for Go
...Provides fully documented, and easy-to-use API for integration with Telegram Bots, and a lot of utility and helper methods for convenience. If you want to use bare Telegram methods and types as they are, without any helpers and utility methods, check out low-level docs. If you want a more convenient way of interacting with Telegram, but still do not use all the helpers that Telego provides, check out medium-level docs. The goal of this library was to create an API with the same types and methods as the actual Telegram Bot API. Every type and method has been represented in types.go and methods.go files with mostly all documentation from Telegram. -
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doc.rustdesk.com
Document of RustDesk
This repository powers RustDesk’s official documentation site, serving as the central knowledge base for installing, configuring, and operating the open-source remote desktop ecosystem. It consolidates step-by-step guides for end users, administrators, and self-hosting teams, from client setup to server deployment and maintenance. The docs explain concepts like rendezvous versus relay roles, NAT traversal, security settings, and platform-specific nuances across Windows, macOS, Linux, and mobile. Clear navigation and task-oriented articles help readers move quickly from first-time installation to advanced troubleshooting. The project treats documentation as code, enabling version control, community contributions, and swift iteration alongside product releases. ... -
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Actix
Actor framework for Rust
...Spawning a new actor is achieved via the start and create methods of the Actor trait. It provides several different ways of creating actors; for details, check the docs. You can implement the started, stopping and stop methods of the Actor trait. started gets called when the actor starts and stops when the actor finishes. Check the API docs for more information on the actor lifecycle. An Actor communicates with another Actor by sending messages. In actix all messages are typed. Let's define a simple Sum message with two usize parameters and an actor which will accept this message and return the sum of those two numbers. ... -
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Hands-On Large Language Models
Official code repo for the O'Reilly Book
Hands-On-Large-Language-Models is the official GitHub code repository accompanying the practical technical book Hands-On Large Language Models authored by Jay Alammar and Maarten Grootendorst, providing a comprehensive collection of example notebooks, code labs, and supporting materials that illustrate the core concepts and real-world applications of large language models. The repository is structured into chapters that align with the educational progression of the book — covering everything... -
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Weft
Task management, but AI agents do your tasks
Weft is an AI-augmented personal task management board where autonomous agents can be assigned tasks and then carry them out across real services like email, Google Docs, spreadsheets, GitHub issues, and pull requests. Instead of just listing to-dos, Weft lets users describe work and attach intelligent agents that read context, perform actions, and request approvals before committing state changes, making task execution partly automated without sacrificing control. It runs entirely on Cloudflare’s platform using Workers, Durable Objects, and Workflows, enabling scalable and persistent task state with minimal backend overhead. ... -
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Docco
Literate Programming can be Quick and Dirty
...It supports many languages (via configuration) and is intentionally quick and dirty, prioritizing lightweight output rather than heavy tooling. For teams that favour documentation that stays close to the codebase (rather than entirely separate docs), Docco offers a pragmatic route to keep documentation aligned with implementation. Because the output is browser-readable, it can live in your repository or website and be regenerated easily. It’s particularly useful for open-source projects, teaching code, or scaffolding codebases where reader orientation matters. -
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Claude Code Subagents Command Collection
Claude Code Subagents & Commands Collection + CLI Tool
This repository aggregates a large set of specialized subagents and slash commands designed for Claude Code, giving developers domain-focused “teammates” they can summon on demand. Each subagent is defined by a concise role, tools, and behaviors, and ships as Markdown you can drop into your .claude/agents/ directory. The collection targets common developer workflows such as scaffolding, refactoring, test writing, documentation, security checks, and project management. It includes a CLI... -
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WebP Codec
Library to encode and decode images in WebP format
...It supplies cwebp to compress images into WebP and dwebp to decompress them back, making it easy to test quality/size trade-offs across presets and tuning parameters. The GitHub repository is a mirror; the canonical source of truth lives on Chromium’s git, and developer docs are hosted on WebP’s portal. The project underpins WebP support across browsers, imaging libraries, and many native apps thanks to its stable C API. Additional companion repos host test data and demos, including JavaScript builds and timing tests for various platforms. As a widely deployed codec, libwebp balances compression efficiency, speed, and integration simplicity across platforms. -
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LLaMA 3
The official Meta Llama 3 GitHub site
...It introduced the public packaging of weights, licenses, and quickstart examples that helped developers fine-tune or run the models locally and on common serving stacks. As the Llama stack evolved, Meta consolidated repositories and marked this one deprecated, pointing users to newer, centralized hubs for models, utilities, and docs. Even as a deprecated repo, it documents the transition path and preserves references that clarify how Llama 3 releases map into the current ecosystem. Practically, it functioned as a bridge between Llama 2 and later Llama releases by standardizing distribution and starter code for inference and fine-tuning. Teams still treat it as historical reference material for version lineage and migration notes. -
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Microsoft Learn MCP Server
Official Microsoft Learn MCP Server, powering LLMs and AI agents
...Rather than relying on training data that may be outdated or incomplete, MCP servers let agents like GitHub Copilot, Claude, or other LLM-based tools search and pull context directly from up-to-date Microsoft Learn content, including Azure, .NET, and other tech docs. By connecting to the MCP endpoint, coding agents can answer questions, retrieve code examples, and offer best practices grounded in authoritative sources without requiring API keys or manual browser searches. This capability helps eliminate hallucinations, improve accuracy, and streamline developer workflows by keeping relevant tech guidance close at hand. -
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shot-scraper
A command-line utility for taking automated screenshots of websites
...The project is deeply integrated with automation workflows: examples show it running in scheduled jobs, GitHub Actions, and bots that publish screenshots to social media or use them in docs. It ships with detailed documentation, a tutorial, and a template repository that lets you spin up an automated screenshot pipeline. -
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LlamaIndex
Central interface to connect your LLM's with external data
LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. LlamaIndex is a simple, flexible interface between your external data and LLMs. It provides the following tools in an easy-to-use fashion. Provides indices over your unstructured and structured data for use with LLM's. These indices help to abstract away common boilerplate and pain points for in-context learning. Dealing with prompt limitations (e.g. 4096 tokens for Davinci) when... -
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FastAPI Python
FastAPI framework, high performance, easy to learn, fast to code
FastAPI framework, high performance, easy to learn, fast to code, ready for production. FastAPI is a modern, fast (high-performance), web framework for building APIs with Python based on standard Python type hints.
