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  1. Scientific analysis of nanoscale materials imaging data

    Jupyter Notebook 155 51

  2. Here, we will upload our deep/machine learning models and 'workflows' (such as AtomNet, DefectNet, SymmetryNet, etc) that aid in automated analysis of atomically resolved images

    Jupyter Notebook 20 11

  3. Deep and Machine Learning for Microscopy

    Python 29 12

  4. TEM data quantification library through a model-based approach

    Jupyter Notebook 4 2

  5. Band Excitation and General Mode Analytics Software

    Jupyter Notebook 1 2

  6. Tools for extracting data and metadata from materials microscopy / spectroscopy files

    Jupyter Notebook 3 7

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