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control-variates

Project on using control variates for bayesian neural networks

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

dl-in-nlp-course

dstc8-schema-guided-dialogue

ex2mcmc_new

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

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.

iitp-ml

tasks for IITP, 6th semester

implicit-unlikelihood-training

Improving Neural Text Generation with Reinforcement Learning

kmeansplusplus

maxent-gan

mds20_cohortney

mipt-comp-math

mipt-ml

Homeworks on the ML course at MIPT

mipt-optim-6sem

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

mipt-par-prog-6sem

A few hometasks on the course "Parallel algoriithms" in MIPT.

mipt-programming-1sem

mipt-programming-2sem

ml-notebooks

nbs

negan

netgan-without-gan

nla2020

Github repository for NLA2020 course

not_ae

Neural Optimal Transport Auto-encoders

optimizer-sug-torch

Adaptive stochastic gradient method based on the universal gradient method. The universal method adjusts Lipsitz constant of the gradient on each step so that the loss function is majorated by the quadratic function.

pointwise-derivative-estimation

Final project for the course Advanced Statistical Methods in Skoltech

psad-2020

Курс по методам прикладного статистического анализа данных, 2020