Showing 5 open source projects for "deployment tool"

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    Ship Agents Faster

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  • 1
    dstack

    dstack

    Open-source tool designed to enhance the efficiency of workloads

    dstack is an open-source tool designed to enhance the efficiency of running ML workloads in any cloud (AWS, GCP, Azure, Lambda, etc). It streamlines development and deployment, reduces cloud costs, and frees users from vendor lock-in.
    Downloads: 3 This Week
    Last Update:
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  • 2
    TensorFlow Model Optimization Toolkit

    TensorFlow Model Optimization Toolkit

    A toolkit to optimize ML models for deployment for Keras & TensorFlow

    ...Choose the model and optimization tool depending on your task. In many cases, pre-optimized models can improve the efficiency of your application. Try the post-training tools to optimize an already-trained TensorFlow model. Use training-time optimization tools and learn about the techniques.
    Downloads: 4 This Week
    Last Update:
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  • 3
    shimmy

    shimmy

    Python-free Rust inference server

    The shimmy project is a lightweight local inference server designed to run large language models with minimal overhead. Written primarily in Rust, the tool provides a small standalone binary that exposes an API compatible with the OpenAI interface, allowing existing applications to interact with local models without significant code changes. This compatibility enables developers to replace remote AI services with locally hosted models while keeping their existing software architecture...
    Downloads: 5 This Week
    Last Update:
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  • 4
    plexe

    plexe

    Build a machine learning model from a prompt

    plexe lets you build machine-learning systems from natural-language prompts, turning plain English goals into working pipelines. You describe what you want—a predictor, a classifier, a forecaster—and the tool plans data ingestion, feature preparation, model training, and evaluation automatically. Under the hood an agent executes the plan step by step, surfacing intermediate results and artifacts so you can inspect or override choices. It aims to be production-minded: models can be exported,...
    Downloads: 0 This Week
    Last Update:
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  • 5
    Sagify

    Sagify

    LLMs and Machine Learning done easily

    Sagify is a tool designed to simplify the process of deploying and managing machine learning models, including Large Language Models (LLMs), on AWS SageMaker. It abstracts the complexities involved in setting up and managing SageMaker resources, allowing developers to focus on building and fine-tuning models. Sagify provides a command-line interface (CLI) and supports various machine-learning frameworks, making it accessible for a wide range of users.
    Downloads: 0 This Week
    Last Update:
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