sverdoot

qp-wgan

Pytorch implementation of the paper (q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs (https://arxiv.org/abs/1902.03642)

robust-pca

Robust PCA: PCP, Stable PCP, PCP with compressed data, IRCUR

netgan-without-gan

random-fourier-features-slam

Python implementation of the paper Random Fourier Features based SLAM (https://arxiv.org/pdf/2011.00594.pdf)

density-estimation-unknown-submanifold

Implementation of the method for Density Estimation on an Unknown Submanifold from the paper https://arxiv.org/pdf/1910.08477.pdf

NOT_AE

Neural Optimal Transport Auto-encoders

tinkoff_hackaton

control-variates

Project on using control variates for bayesian neural networks

ex2mcmc_new

Local-Global MCMC kernels: the best of both worlds (NeurIPS 2022)

implicit-unlikelihood-training

Improving Neural Text Generation with Reinforcement Learning

regularized-dpp

Implementation of Bayesian experimental design using regularized determinantal point processes

FSE_Lab_Version_Control

geometric-computer-vision-hw

HW1 to the GCV course 2021, Skoltech

google-research

Google AI Research

hf_learn

hse-comp-lingv

Assignments on the corse 'Computational Linguistics' at the HSE.

maxent-gan

mds20_cohortney

mipt-ml

Homeworks on the ML course at MIPT

mipt-optim-6sem

Some homeworks on course 'Modern numerical optimization methods', MIPT.

negan

nla2020

Github repository for NLA2020 course

pointwise-derivative-estimation

Final project for the course Advanced Statistical Methods in Skoltech

psad-2020

Курс по методам прикладного статистического анализа данных, 2020

sampling

search_network

Custom web application with search engine over the employee network

sverdoot

sverdoot.github.io

Personal Github Page

tsc

Transport Score Climbing: Variational Inference using Inclusive KL and Adaptive Neural Transport

vaemcmc