Laboratory of methods for Big Data Analysis at HSE's repositories
DeepGenerativeModels
Deep Generative Models Course
OpenTalks2021_tutorial
Туториал по обнаружению аномалий и точек разладки генеративными моделями.
ai4material_design
Code for Kazeev, N., Al-Maeeni, A.R., Romanov, I. et al. Sparse representation for machine learning the properties of defects in 2D materials. npj Comput Mater 9, 113 (2023).
GenModels-2021
Third school on generative models
MEGNetSparse
A library imlementing a graph neural network with sparse representation from Code for Kazeev, N., Al-Maeeni, A.R., Romanov, I. et al. Sparse representation for machine learning the properties of defects in 2D materials. npj Comput Mater 9, 113 (2023).
digital-twin
Performance Modeling of Data Storage Systems Using Generative Models, IEEE Access, vol. 13, pp. 49643-49658, 2025, doi: 10.1109/ACCESS.2025.3552409
satellite-2019
Satellite position estimation project
MLatURL2021
Course 2021
OPERA-data-visualization
OPERA experiment dataset visualization
SHAD-2020-muon-id
Problem for SHAD LHCb Muon Identification