In the lab, he focuses on the hybridization of deep and probabilistic models and the ongoing support of BAMT. During his master’s degree, he worked on training large Bayesian networks as a lab engineer. Yuriy is also a swimmer, snowboarder, and tennis player. Apart from sports, he enjoys cinema (arthouse), music, and video games.
Product:
https://github.com/aimclub/BAMT
BAMT is an open-source framework designed for representing data in the form of a probabilistic graphical model and for solving a multitude of AI/ML tasks, such as feature selection in predictive tasks, generating multidimensional synthetic samples, and constructing probabilistic reasoning (what is the probability of taking such a value if other values are known).