Showing 4 open source projects for "execute"

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  • 1
    StableSwarmUI

    StableSwarmUI

    Multi-user UI for managing and running Stable Diffusion workflows tool

    ...It abstracts much of the complexity involved in running diffusion models by offering a structured environment for handling prompts, outputs, and processing queues. StableSwarmUI is built to work alongside backend systems that execute the actual image generation, allowing separation between user interaction and compute workloads. It also emphasizes scalability, making it useful for setups where multiple jobs need to be processed efficiently. Overall, it serves as a coordination layer for Stable Diffusion usage rather than a standalone model implementation.
    Downloads: 5 This Week
    Last Update:
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  • 2
    Agent Framework

    Agent Framework

    Framework for building, orchestrating, and deploying AI agents

    ...It also includes components such as agent sessions for managing state, context providers for maintaining memory, and middleware for intercepting and extending agent behavior. Developers can integrate external tools and services so that agents can execute actions beyond text generation.
    Downloads: 4 This Week
    Last Update:
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  • 3
    FlubuCore

    FlubuCore

    A cross platform build and deployment automation system

    ...This gives you code completion, IntelliSense, debugging, FlubuCore custom analyzers, and native access to the whole .NET ecosystem inside of your scripts. FlubuCore offers a .net (core) console application that uses power of roslyn to compile and execute scripts. Intuitive and easy to learn. C#, fluent interface, and IntelliSense make even the most complex script creation a breeze. Large number of often used built-in tasks like e.g. versioning, running tests, creating deployment packages, publishing NuGet packages, docker tasks, git tasts, sql tasks, npm tasks, executing PowerShell, managing IIS scripts and many more.
    Downloads: 0 This Week
    Last Update:
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  • 4
    When to use TensorFlowSharp

    When to use TensorFlowSharp

    TensorFlow API for .NET languages

    ...The library focuses mainly on providing access to the low-level TensorFlow runtime rather than offering the high-level abstractions commonly available in Python libraries like Keras. This design allows applications written in C# or F# to execute machine learning graphs produced by Python workflows while maintaining compatibility with the TensorFlow runtime.
    Downloads: 0 This Week
    Last Update:
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