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afm-training

Training models for Atomic Force Microscopy

fast_smart_scanning

ferrosim

Ferroelectric Simulation using a discrete Landau formulation on a 2D grid

ferrosim_env

Reinforcement Learning Environment for 2D FerroSim

gds_course

GDS Short Course - Deep Learning for Image Processing Applications: Learning physics from imaging data: mesoscopic and stochastic systems

gym

A toolkit for developing and comparing reinforcement learning algorithms.

ising_sim

Ising Model Simulation

keras

Deep Learning for humans

kmc-svpg

Code for distributed Stein variational policy gradient on a kinetic monte-carlo materials synthesis environment

kmcenvironment

kmcsim

ml-electronmicroscopy-2023

ml_in_ms_python_workshop

Machine Learning in Materials Science with python Workshop (CNMS User Meeting 2018)

ml_summer_course

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

mlsocket

python socket that can send numpy arrays and ml models

nanonispy

A small library written in python 3 to parse Nanonis binary and ascii files

pycroscopy

A suite of utilities for image processing and scientific analysis of nanoscale imaging modalities such as multi-frequency scanning probe microscopy, scanning tunneling spectroscopy, x-ray diffraction microscopy, and transmission electron microscopy. Classes implemented here are ported to a high performance computing platform at Oak Ridge National Laboratory.

pycroscopy-feedstock

A conda-smithy repository for pycroscopy.

pynsid-feedstock

A conda-smithy repository for pynsid.

pyroved

Invariant representation learning from imaging and spectral data

pyusid-feedstock

A conda-smithy repository for pyusid.

scifireaders-feedstock

A conda-smithy repository for scifireaders.

scikit-tensor

Python library for multilinear algebra and tensor factorizations

sho_fitter

SHO fitter combining NN and LS optimizer

sidpy-feedstock

A conda-smithy repository for sidpy.

test_repo1

Repository for training

webapp_test

Testing webapps