A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
Examples of code, configuration files etc. to be used with Yandex Cloud.
Тестовое задание для ревьюеров Яндекс.Практикума
RL for 2D map exploration
Py 2021
Auto Segmentation Criterion (ASG) implemented in pytorch
iOS клиент приложения Reading Tracker
Plugin that alerts you that copy-paste is evil
Natural Language Processing homeworks
IR-2019 tasks
Java Machine Learning Library
SD hw
Repository to store student's practical works on high performance computing course