pycroscopy

Repositories

• atomai

  Deep and Machine Learning in Microscopy

  machine-learning deep-learning materials jupyter-notebook pytorch ensemble-learning electron-microscopy
  Python MIT 11 23 3 (3 issues need help) 1 Updated Jun 4, 2021

• BGlib

  Band Excitation and General Mode Analytics Software
  Jupyter Notebook MIT 2 1 7 (2 issues need help) 1 Updated Jun 1, 2021

• sidpy

  Python utilities for storing, processing, and visualizing spectroscopic and imaging data
  Jupyter Notebook MIT 10 4 27 (18 issues need help) 0 Updated May 28, 2021

• pycroscopy

  Scientific analysis of nanoscale materials imaging data

  visualization atom machine-learning statistics afm signal-processing stm
  Jupyter Notebook MIT 49 151 43 (5 issues need help) 1 Updated May 26, 2021

• USID

  Universal Spectroscopy and Imaging Data
  Jupyter Notebook MIT 1 0 3 0 Updated May 17, 2021

• pyUSID

  Framework for storing, visualizing, and processing Universal Spectroscopic and Imaging Data (USID)

  data parallel-computing hdf5 imaging spectroscopy
  Python MIT 13 23 12 (6 issues need help) 0 Updated May 17, 2021

• SciFiReaders

  Tools for extracting data and metadata from materials microscopy / spectroscopy files
  Jupyter Notebook MIT 6 3 9 (3 issues need help) 2 Updated May 14, 2021

• AICrystallographer

  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 11 20 0 0 Updated May 7, 2021

• pyTEMlib

  TEM data quantification library through a model-based approach
  Jupyter Notebook MIT 2 4 2 0 Updated Apr 19, 2021

• stemtool

  A single package for analyzing atomic resolution STEM, 4D-STEM and STEM-EELS datasets, along with basic STEM simulation functionality

  electron-microscopy eels 4d-stem
  Python MIT 1 6 0 0 Updated Apr 18, 2021

• pyNSID

  Utilities for facilitating the storage, access, and visualization of NSID data
  Jupyter Notebook MIT 3 1 5 (2 issues need help) 0 Updated Mar 26, 2021

• AISTEM_WORKSHOP_2020

  Materials for "AI for Atoms: How to Machine Learn STEM" Workshop
  Jupyter Notebook 4 13 0 0 Updated Dec 10, 2020

• CNMS_ML_in_MS_Workshop_2018

  CNMS User Meeting Workshop 2018: Machine learning in Materials Science with Python
  Jupyter Notebook 1 5 0 0 Updated Mar 4, 2020

• scalable_analytics

  Self-help guides for scalable data analytics

  python deep-learning virtual-machine jupyter-notebook remote data-analysis
  Shell MIT 5 3 0 0 Updated Oct 11, 2019

• CNMS_ML_in_MS_Workshop_2019

  Machine Learning in Materials Science: An Introduction through Python. Workshop as part of CNMS User Meeting 2019
  Jupyter Notebook 1 5 0 0 Updated Aug 14, 2019

• CNMS_UM_2018_SPIMA

  Introduction to Spectral and Image processing in Python

  notebooks
  Jupyter Notebook MIT 3 5 0 0 Updated Aug 9, 2019

• distUSID

  Development of distributed framework for USID processing

  framework parallel-computing high-performance-computing cloud-computing mpi4py
  Jupyter Notebook MIT 0 2 0 0 Updated Jun 10, 2019

• papers

  HTML exports of scientific journal papers published using pycroscopy
  HTML 0 0 0 0 Updated Mar 29, 2019

• pySPM-on-SPM

  GMode KPFM Tutorial
  Jupyter Notebook MIT 1 0 0 0 Updated Aug 22, 2018

• MM_2018_Workshop

  Tutorial materials for the Microscopy & Microanalysis Workshop
  Jupyter Notebook MIT 0 1 0 0 Updated Aug 6, 2018