amkatrutsa Goto Github PK

acceleratedmirrordescent

advanced-opt

Presentations of the advanced topics in optimization

applied-opt

back-end-developer-interview-questions

A list of back-end related questions you can be inspired from to interview potential candidates, test yourself or completely ignore

bibtex

Bibtex repository of the INM group

cet_opt_met

convex_opt

Convex optimization course

cvx_opt_masters

Convex optimization course for AI (ex Ozon) Masters

cvx_opt_ozon_masters_spring2020

Materials for optimization class in OZON Masters, Spring 2020

cvx_opt_sda

Convex optimization course in Yandex School of Data Analysis

cvx_opt_sda2021

Convex optimization course in Yandex School of Data Analysis

deeppde

Deep Learning application to the partial differential equations

dl-opt

Tutorials on optimizers for deep neural networks

dmg

Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf

edm

Equiangular direction method for multi-objective optimization

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

intro_ml

Introduction course in machine learning

latex-sty

Style files for LaTeX documents

liboptpy

Implementation of various optimization methods

math-tech-eng

Mathematical and Technical Writing mini-course for Skoltech Independent Studies Period 2017.

matrix_decompositions

Algorithms for computing matrix decompositions

mipt-2-diffeq

Lectures for Differential Equations

mipt-4-quantum

Квантовая механика, ФУПМ, 6-7 семестр

ms_hackathon

msu_intro_ds2021

Introduction to data science course

networkx

Official NetworkX source code repository.

nla2016

Repository for 2016 NLA course @ Skoltech

nla2019_ozon

NLA course in OZON Masters

nla2020_ozon

Numerical linear algebra course in Ozon masters, Fall 2020

nla2021_ozon

Numerical linear algebra course for Ozon Masters program