#docker

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ragflow
RAGFlow is an open-source engine improving the RAG workflow via deep document understanding. It effectively extracts knowledge from unstructured data using large language models, providing accurate question-answering with reliable citations. Compatible with varied data formats, including Word documents, slides, and scanned files, it features intelligent document chunking to enhance data retrieval. RAGFlow simplifies integration with user-friendly APIs, serving as a dependable tool for both personal and business applications in automating the RAG process.
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berlin-auslaenderbehorde-termin-bot
This tool uses Selenium to automatically find available appointments for visa services at Berlin's Ausländerbehörde, notifying through sound alerts. Requires Docker for running the Selenium server. Compatible with MacOS M1, it requires JDK 17+. Configurations are done via JSON files for personal and visa info, with execution via the terminal. Monitor actions live in the local Docker container. Distributed under GNU Affero General Public License.
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it-tools
Explore a robust collection of tools designed for IT professionals and developers. The project includes options for self-hosting, Docker integration, and deployments via Cloudron, Tipi, and Unraid. Optimize development with ideal IDE configurations and TypeScript compatibility. Participate in community-driven enhancements or submit new feature ideas. Keep up with project progress and improve IT workflows using these comprehensive tools.
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ai-chatbot-framework
AI Chatbot Framework offers a Python-driven approach to developing conversational interfaces, allowing for easy integration into platforms such as Messenger and Slack. The framework supports straightforward deployment through Docker and Heroku, inviting contributions from both novices and seasoned developers, all while enhancing interaction capabilities.
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google-images-download
The tool provides an optimized solution for scraping images from Bing for various applications, including machine learning and data analysis. It features enhanced integration with Docker and compatibility with Python environments. Users can control searches through specific URLs or search terms, utilizing a customizable chromedriver for efficient downloads. Adaptable for both non-commercial and enterprise use, the tool offers dual licensing and is supported by a collaborative community.
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tesseract.js-core
This module describes converting Tesseract OCR from C to JavaScript WebAssembly. It includes comprehensive Docker-based compilation instructions and details specific changes for enhanced functionality. Suitable for developers, it covers aspects like page angle detection, parameter control, and progress logging in web and node settings. The modified repository ensures optimized OCR performance across various platforms.
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entr
Entr is a utility designed for executing commands in response to file changes without relying on polling, utilizing kqueue and inotify for optimal performance. Compatible with BSD, Mac OS, and Linux, it offers Docker and WSL support with special settings. Developers can automate server reloads and execute complex commands efficiently, fostering improved workflow. Simple installation and configuration make it suitable for dynamic environments, with support for monitoring symlink changes. Stay informed on new releases through its Atom feed for ongoing updates and enhancements.
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stable-diffusion-nvidia-docker
The project facilitates Stable Diffusion deployment using Docker, allowing GPU-based image generation without the need for coding skills. Features include a UI built with Gradio, support for the Stable Diffusion 2.0 model, and functionalities like img2img and image inpainting. Its Data Parallel approach enables multi-GPU support, optimizing inference speed for art and design tasks with straightforward installation for Ubuntu and Windows users.
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cadence-web
Utilize this distributed web UI for monitoring and exploring asynchronous workflows, developed by Uber Engineering for scalability and reliability. Cadence Web offers insights into active workflows with debugging capabilities and real-time data, making it essential for distributed systems management. Customize via environment variables and use Docker for an efficient development process. It supports extended middleware and boasts a robust API with Koa, accommodating flexible applications with secure authentication options like OIDC and ADMIN_JWT. Refer to the contribution guide for enhanced development practices.
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mybatis-plus-code-generator
The MyBatis-Plus Code Generator efficiently automates CRUD operation creation, offering features such as automatic generation of models, DAOs, XML, service interfaces, and implementation classes. It includes builder pattern support, Swagger2, and Kotlin code generation. Ideal for projects needing custom configurations, it can be deployed via JAR, Docker, or by cloning, providing seamless integration across different environments. This tool enhances productivity by simplifying the initial development setup and reducing overhead.