pycroscopy's repositories
pycroscopy
Scientific analysis of nanoscale materials imaging data
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
AISTEM_WORKSHOP_2020
Materials for "AI for Atoms: How to Machine Learn STEM" Workshop
SciFiReaders
Tools for extracting data and metadata from scientific data files
SPM_ML_School_2021
Virtual School – “Machine Learning and Automated Experiment in Scanning Probe Microscopy" at ORNL, October 4-7, 2021
CNMS_ML_in_MS_Workshop_2019
Machine Learning in Materials Science: An Introduction through Python. Workshop as part of CNMS User Meeting 2019
CNMS_ML_in_MS_Workshop_2018
CNMS User Meeting Workshop 2018: Machine learning in Materials Science with Python
CNMS_UM_2018_SPIMA
Introduction to Spectral and Image processing in Python
Intro_to_pycroscopy
Introduction to the Pycroscopy Ecosystem
scalable_analytics
Self-help guides for scalable data analytics
SciFiDatasets
Datasets for testing and demonstration purposes
ferroschool
FerroSchool Winter 2022 in Calgary
ML_Summer_Course
This is a repository setup for the Machine Learning in Microscopy Virtual Summer School
pycroscopy-feedstock
A conda-smithy repository for pycroscopy.
pytemlib-feedstock
A conda-smithy repository for pytemlib.
pyusid-feedstock
A conda-smithy repository for pyusid.
scifireaders-feedstock
A conda-smithy repository for scifireaders.
sidpy-feedstock
A conda-smithy repository for sidpy.