Showing 4 open source projects for "beam analysis"

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    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: 4 This Week
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  • 2
    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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  • 3
    LaueTools

    LaueTools

    open source python packages for X-ray MicroLaue Diffraction analysis

    LaueTools is an open-source project for white beam Laue x-ray microdiffraction data analysis including tools in image processing, peaks searching & indexing, crystal structure solving (orientation & strain) and data & grain mapping visualisation. Python 3 Code and new features are now at: https://gitlab.esrf.fr/micha/lauetools
    Downloads: 1 This Week
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  • 4
    A multiparticle tracking postprocessor library for accelerator physicsists.
    Downloads: 0 This Week
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