wdwzyyg Goto Github PK

aberrationnn

abtem

ab initio Transmission Electron Microscopy

abtem100

copied from abTEM-1.0.0beta31

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

atom-finder

atomai

Deep and Machine Learning for Microscopy

atomsegnet

AtomSegNet

benchmark-test-for-atom-finding-models

desoftware

ece532project

ece539_imagecolorization

electroncounting

file-compare

foundry

Simplifying the discovery and usage of machine-learning ready datasets in materials science and chemistry

foundry_lin

foundry_ziatdinov

hyperspy

Multidimensional data analysis

igor

Voyles group Igor procedures

imgaug

Image augmentation for machine learning experiments.

lap

Linear Assignment Problem solver (LAPJV/LAPMOD).

ml-electronmicroscopy-2023

mygeneralanalysisjp

Jupyter notebooks generally used for STEM data analysis

peak_detection

pyxem

pyxem is an open-source python library for multi-dimensional diffraction microscopy.

pyxem-demos

Tutorials and examples for pyXem (Pythonic Crystallographic Electron Microscopy), an open-source Python library for crystallographic electron microscopy. Contact us: [email protected]

vision

Datasets, Transforms and Models specific to Computer Vision