Valeriy Klyukin's Projects
Presentation for CV course in HSE, CS
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Data science interview questions and answers
Four Russians Algorithm implementation in python 3
App for reaching lyrics of all songs from your Google Play Music library
This work is designed to improve the recommendations of new objects that will allow the platform using this approach to navigate faster in the information space and capture more and more users, which will increase the profit of the service
Knowledge Distillation of Normalizing Flows
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
Introduction to spectral clustering
GUI app drawing concurrent motion of the track
Testing system for entering English exam in CS faculty in HSE.