isadrtdinov

intro-to-dl-hse

Введение в глубинное обучение на ФКН ВШЭ

bootcamp-idao-2022

IDAO 2022: Machine Learning Bootcamp

kws-attention

Attention-based model for keywords spotting

ens-for-transfer

Source code for NeurIPS 2023 paper "To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning"

LightAutoML-course

Materials for LightAutoML online course

quartznet

QuartzNet implementation for Automatic Speech Recognition task

pix2pix

Pix2Pix: Image-to-Image Translation with Conditional GANs

StarGAN

StarGAN implementation for multi-domain image-to-image translation

wavenet

WaveNet vocoder implementation for speech synthesis task

grokking-reproduction

Reproducibility of "Towards Understanding Grokking" // ML Reproducibility Challenge 2022

Kandinsky-2.0

Kandinsky 2.0 — multilingual text2image latent diffusion model

knapsack

An approximate 0-1 knapsack solution in Rust

ml-course-hse

Машинное обучение на ФКН ВШЭ

isadrtdinov.github.io

opt_exam

Конспекты для подготовки к экзамену по курсу Непрерывная оптимизация 2020 для специализации МОП ПМИ ФКН ВШЭ.

random-features

Applying the random features approach to impressionist paintings classification

self-supervised

Bachelor thesis: Empirical Analysis of Self-Supervised Training Properties

SimCLR

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Solar-Activity

Sunspot decrease rate study

STEM-1514

Annual winter camp @ Moscow School №1514 - Science, Technology, Engineering & Mathematics

symmetry-teleportation

HSE Modern Optimization 2022 course project

tacotron

Tacotron 2 implementation for text2speech task