pycroscopy's Projects
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
Materials for "AI for Atoms: How to Machine Learn STEM" Workshop
Deep and Machine Learning for Microscopy
Band Excitation and General Mode microscopy analytics software
CNMS User Meeting Workshop 2018: Machine learning in Materials Science with Python
Machine Learning in Materials Science: An Introduction through Python. Workshop as part of CNMS User Meeting 2019
Introduction to Spectral and Image processing in Python
Development of distributed framework for USID processing
FerroSchool Winter 2022 in Calgary
Introduction to the Pycroscopy Ecosystem
This is a repository setup for the Machine Learning in Microscopy Virtual Summer School
Tutorial materials for the Microscopy & Microanalysis Workshop
Notebooks for MRS2021 tutorial
HTML exports of scientific journal papers published using pycroscopy
Scientific analysis of nanoscale materials imaging data
A conda-smithy repository for pycroscopy.
Utilities for facilitating the storage, access, and visualization of NSID data
GMode KPFM Tutorial
TEM data quantification library through a model-based approach
A conda-smithy repository for pytemlib.
Framework for storing, visualizing, and processing Universal Spectroscopic and Imaging Data (USID)
A conda-smithy repository for pyusid.
Self-help guides for scalable data analytics
Datasets for testing and demonstration purposes
Tools for extracting data and metadata from scientific data files
A conda-smithy repository for scifireaders.
Python utilities for storing, processing, and visualizing spectroscopic and imaging data
A conda-smithy repository for sidpy.
Virtual School โ โMachine Learning and Automated Experiment in Scanning Probe Microscopy" at ORNL, October 4-7, 2021