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Deployment Environments · Awesome GitHub Repositories

3 repos

Awesome GitHub RepositoriesDeployment Environments

Target platforms or runtime environments where software applications are hosted, executed, and managed.

Explore 3 awesome GitHub repositories matching devops & infrastructure · Deployment Environments. Refine with filters or upvote what's useful.

  1. Home
  2. DevOps & Infrastructure
  3. Deployment Management and Strategies
  4. Execution Platforms and Targets
  5. Deployment Environments

Awesome Deployment Environments GitHub Repositories

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  • AUTOMATIC1111/stable-diffusion-webui

    AUTOMATIC1111/stable-diffusion-webui

    160,701GitHubView on GitHub↗

    Stable Diffusion Web UI is a browser-based interface designed for managing text-to-image generation tasks. It provides a centralized dashboard for controlling generative processes, including native support for multi-stage model architectures to facilitate high-quality image refinement. The platform distinguishes itsel

    Pythonaiai-artdeep-learning
  • vllm-project/vllm

    vllm-project/vllm

    70,745GitHubView on GitHub↗

    vLLM is a high-throughput inference engine designed for the efficient serving and execution of large language models. It functions as a production-ready distributed model server, providing standard API protocols for online serving while also supporting offline batch processing. The system is built to maximize token gen

    Pythonamdblackwellcuda
  • binary-husky/gpt_academic

    binary-husky/gpt_academic

    70,112GitHubView on GitHub↗

    This project provides a self-hosted, web-based interface designed to integrate large language models into academic and research workflows. It functions as a modular platform for document analysis, literature processing, and data handling, allowing users to maintain full control over their data and model connectivity th

    Pythonacademicchatglm-6bchatgpt

Explore sub-tags

  • Cloud Notebook DeploymentsDeployment configurations specifically for cloud-based interactive notebook environments.
  • Hardware-Specific InstallationsInstallation procedures tailored for specific GPU architectures or operating system distributions.
  • Kaggle EnvironmentsSupport for running the application within Kaggle notebooks or cloud environments.
Python Environment Installations
Methods for installing and configuring software within Python environments, including dependency and binary management.
  • Self-Hosted AI EnvironmentsContainerized platforms configured for local or private server execution of artificial intelligence models.