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Deployment and Execution Environments · Awesome GitHub Repositories

2 repos

Awesome GitHub RepositoriesDeployment and Execution Environments

Infrastructure and tools focused on the operational lifecycle, including local inference, decentralized training, and pipeline optimization.

Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Deployment and Execution Environments. Refine with filters or upvote what's useful.

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  • josephmisiti/awesome-machine-learning

    josephmisiti/awesome-machine-learning

    71,702GitHubView on GitHub↗

    This project is a comprehensive, community-driven directory of machine learning resources, software libraries, and educational materials. It serves as a centralized knowledge base for developers and researchers, organizing tools and frameworks by their primary programming language and technical domain to simplify disco

    Python
  • unslothai/unsloth

    unslothai/unsloth

    52,461GitHubView on GitHub↗

    Unsloth is a high-performance training and inference platform designed to optimize the lifecycle of large language and multimodal models. It provides a comprehensive engine for fine-tuning, executing, and managing models locally, with a focus on reducing memory consumption and increasing compute speed on consumer-grade

    Pythonagentdeepseekdeepseek-r1

Explore sub-tags

  • Efficient Training PipelinesTools designed to fine-tune large models with reduced memory usage and increased speed for specific applications.
  • Federated Learning FrameworksUnified frameworks that enable collaborative machine learning, analytics, and model training across decentralized data sources.
  • Local Model ExecutionSoftware utilities that facilitate the searching, downloading, and execution of language models on local computing environments.