Maxim Ziatdinov

gpax. Gaussian Processes for Experimental Sciences

SciLink. LLM-powered agents for scientific research automation

NeuroBayes. Fully and Partially Bayesian Neural Nets

GPim. Gaussian processes and Bayesian optimization for images and hyperspectral data

pyroVED. Invariant representation learning from imaging and spectral data

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

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

atomai. Deep and machine learning for atomic-scale and mesoscale data

hypoAL. Jupyter Notebook

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

APS2020Tutorial. Tutorial on image analysis with deep / machine learning for APS-2020 meeting in Denver

notebooks_for_medium. Jupyter notebooks for our Medium articles

AISTEM_WORKSHOP_2020. Materials for "AI for Atoms: How to Machine Learn STEM" Workshop

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

dualVAE. Jupyter Notebook

AtomicImageSimulator. Jupyter Notebook

MHP_stability. Jupyter Notebook

im2spec. Jupyter Notebook

AIML-tutorials. Repository for containing the tutorial series for the AI/ML working group

MRS2021. Notebooks for MRS2021 tutorial

CSSAS-DML. Jupyter Notebook

Semi-Supervised-VAE-nanoparticles. Semi-supervised VAE for data with the rotational disorder

jtrVAE.