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analysis-of-sgd-of-deep-neural-networks-under-heavy-tailed-gradient-noise

Machine Learning 2021 course project

cpp_graphs

dse-23-24

Data Science for Economists 2023-2024 course materials

ex2mcmc_new

functional

gans_2d

hse-stat-course-2018

NRU HSE Applied Statistics in Machine Learning course

kl_gan

For experiments on gan training

lenta_hack

lin_reg_econometrics

ml-course-hse

Машинное обучение на ФКН ВШЭ

nla2020

Github repository for NLA2020 course

nla2021_ozon

Numerical linear algebra course for Ozon Masters program

psmo2023

Ресурсы курса "Прикладная статистика в машинном обучении"(2023)

psmo_linreg_classes

rcognita

rcognita is a flexibly configurable framework for agent-enviroment simulation with a menu of predictive and safe reinforcement learning controllers

rl_lspi_svd

RL SVD feature policy iteration

sber_hack_risk

The hackaton for prediction the risk of client defoault based on dataset of 628 anonymised features. We tried the procedure of feature selection using catboost and LightGBM. We tuned the logistic regression using SberAutoML based on selected features by boosting models.

sngan.pytorch

An unofficial Pytorch implementation of SNGAN, achieving IS of 8.21 and FID of 14.21 on CIFAR-10.

stock-price-prediction

Final Project for Deep Learning course at Skltech in 2021