ziatdinovmax

atomai

Deep and Machine Learning for Microscopy

ActiveChannelLearning

Automated selection of channels with best predictive capacity in multimodal imaging and spectroscopy experiments

atomai

Deep and machine learning for atomic-scale and mesoscale data

AugmentedGaussianProcess

Gaussian process augmented with a probabilistic model of expected system's behavior

gpax

Gaussian Processes for Experimental Sciences

GPim

Gaussian processes and Bayesian optimization for images and hyperspectral data

hypoAL

NeuroBayes

Fully and Partially Bayesian Neural Nets for Active Learning

Notebooks-for-papers

Jupyter notebooks describing data analysis procedures for my published/submitted papers

pyroVED

Invariant representation learning from imaging and spectral data

ziatdinovmax/gpax

Gaussian Processes for Experimental Sciences

ziatdinovmax/GPim

Gaussian processes and Bayesian optimization for images and hyperspectral data

ziatdinovmax/pyroVED

Invariant representation learning from imaging and spectral data

ziatdinovmax/atomai

Deep and machine learning for atomic-scale and mesoscale data

ziatdinovmax/AugmentedGaussianProcess

Gaussian process augmented with a probabilistic model of expected system's behavior

ziatdinovmax/NeuroBayes

Fully and Partially Bayesian Neural Nets for Active Learning

ziatdinovmax/hypoAL

ziatdinovmax/ActiveChannelLearning

Automated selection of channels with best predictive capacity in multimodal imaging and spectroscopy experiments

ziatdinovmax/dualVAE

ziatdinovmax/GP

This repo will now be developed and maintained https://github.com/ziatdinovmax/GPim

ziatdinovmax/notebooks_for_medium

Jupyter notebooks for our Medium articles

ziatdinovmax/AIML-tutorials

Repository for containing the tutorial series for the AI/ML working group

ziatdinovmax/jtrVAE

ziatdinovmax/MRS2021

Notebooks for MRS2021 tutorial

ziatdinovmax/Semi-Supervised-VAE-nanoparticles

Semi-supervised VAE for data with the rotational disorder

ziatdinovmax/awesome-self-driving-labs

A curated list of self-driving laboratories that combine hardware automation and artificial intelligence to accelerate scientific discovery.

ziatdinovmax/causal-learn

Python translation (and extension) of the Tetrad java code.

ziatdinovmax/DeepReinforcementLearningInAction

Code from the Deep Reinforcement Learning in Action book from Manning, Inc

ziatdinovmax/elit

ziatdinovmax/ImprovedDeepEnsembles

Improved deep ensembles

ziatdinovmax/MHP_stability

ziatdinovmax/ML-ElectronMicroscopy-2023

ziatdinovmax/nngp

ziatdinovmax/OpticalNanoImagingML

ML analysis of optical nanoimaging and nanospectroscopy data

ziatdinovmax/pycroscopy

Scientific analysis of nanoscale materials imaging data

ziatdinovmax/pyNSID

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

ziatdinovmax/saasbo

SAASBO: a package for high-dimensional bayesian optimization

ziatdinovmax/ScopeReaders

Tools for extracting data and metadata from materials microscopy / spectroscopy files

ziatdinovmax/SPM_ML_School_2021

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

ziatdinovmax/ziatdinovmax