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pycroscopy's repositories

pycroscopy

Scientific analysis of nanoscale materials imaging data

Language:Jupyter NotebookMIT250 32 108

atomai

Deep and Machine Learning for Microscopy

Language:PythonMIT181 11 16

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

Language:Jupyter Notebook31 100

pyUSID

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

Language:PythonMIT25 11 44

AISTEM_WORKSHOP_2020

Materials for "AI for Atoms: How to Machine Learn STEM" Workshop

Language:Jupyter Notebook17 70

pyTEMlib

TEM data quantification library through a model-based approach

Language:Jupyter NotebookMIT16 7 8

stemtool

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

Language:PythonMIT15 6 3

SciFiReaders

Tools for extracting data and metadata from scientific data files

Language:Jupyter NotebookMIT13 8 38

sidpy

Python utilities for storing, processing, and visualizing spectroscopic and imaging data

Language:Jupyter NotebookMIT11 10 89

SPM_ML_School_2021

Virtual School – “Machine Learning and Automated Experiment in Scanning Probe Microscopy" at ORNL, October 4-7, 2021

Language:Jupyter Notebook10 60

CNMS_ML_in_MS_Workshop_2019

Machine Learning in Materials Science: An Introduction through Python. Workshop as part of CNMS User Meeting 2019

Language:Jupyter Notebook7 60

CNMS_ML_in_MS_Workshop_2018

CNMS User Meeting Workshop 2018: Machine learning in Materials Science with Python

Language:Jupyter Notebook6 50

CNMS_UM_2018_SPIMA

Introduction to Spectral and Image processing in Python

Language:Jupyter NotebookMIT6 80

MRS2021

Notebooks for MRS2021 tutorial

Language:Jupyter NotebookMIT4 50

BGlib

Band Excitation and General Mode microscopy analytics software

Language:Jupyter NotebookMIT3 4 8

Intro_to_pycroscopy

Introduction to the Pycroscopy Ecosystem

Language:Jupyter Notebook3 20

pyNSID

Utilities for facilitating the storage, access, and visualization of NSID data

Language:Jupyter NotebookMIT3 7 30

distUSID

Development of distributed framework for USID processing

Language:Jupyter NotebookMIT2 70

scalable_analytics

Self-help guides for scalable data analytics

Language:ShellMIT2 70

papers

HTML exports of scientific journal papers published using pycroscopy

Language:HTML0110

ferroschool

FerroSchool Winter 2022 in Calgary

Language:Jupyter Notebook020

ML_Summer_Course

This is a repository setup for the Machine Learning in Microscopy Virtual Summer School

Language:Python000

ML_Summer_Course2test

This is a repository setup for the Machine Learning in Microscopy Virtual Summer School

Language:Python000

pycroscopy-feedstock

A conda-smithy repository for pycroscopy.

BSD-3-Clause010

pytemlib-feedstock

A conda-smithy repository for pytemlib.

BSD-3-Clause010

pyusid-feedstock

A conda-smithy repository for pyusid.

BSD-3-Clause010

SciFiDatasets

Datasets for testing and demonstration purposes

MIT030

scifireaders-feedstock

A conda-smithy repository for scifireaders.

BSD-3-Clause010

sidpy-feedstock

A conda-smithy repository for sidpy.

BSD-3-Clause010

USID

Universal Spectroscopy and Imaging Data

Language:Jupyter NotebookMIT07 3