Showing 3 open source projects for "beam analysis"

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  • 1
    Big-AGI

    Big-AGI

    AI suite powered by state-of-the-art models and providing advanced AI

    Big-AGI is a comprehensive, open-source AI workspace built to serve as a powerful multi-model interface for developers, researchers, and professionals who want deep control over generative AI workflows and outputs. It unifies access to multiple large language models (LLMs) and AI services through a modern web UI that emphasizes effi­cient interaction, flexibility, and extensibility, enabling users to conduct multi-model chats, execute code, generate images, and perform voice or text-based...
    Downloads: 7 This Week
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  • 2
    AtomAI

    AtomAI

    Deep and Machine Learning for Microscopy

    AtomAI is a Pytorch-based package for deep and machine-learning analysis of microscopy data that doesn't require any advanced knowledge of Python or machine learning. The intended audience is domain scientists with a basic understanding of how to use NumPy and Matplotlib. It was developed by Maxim Ziatdinov at Oak Ridge National Lab. The purpose of the AtomAI is to provide an environment that bridges the instrument-specific libraries and general physical analysis by enabling the seamless...
    Downloads: 3 This Week
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  • 3
    onnxt5

    onnxt5

    Summarization, translation, sentiment-analysis, text-generation, etc.

    Summarization, translation, sentiment analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX. This package is still in the alpha stage, therefore some functionalities such as beam searches are still in development. The simplest way to get started for generation is to use the default pre-trained version of T5 on ONNX included in the package.
    Downloads: 0 This Week
    Last Update:
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