Pinned Repositories
DeepPDE
Deep Learning application to the partial differential equations
dmg
Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf
liboptpy
Implementation of various optimization methods
msu_intro_ds2021
Introduction to data science course
nla2019_ozon
NLA course in OZON Masters
nla2020_ozon
Numerical linear algebra course in Ozon masters, Fall 2020
nla2022_masters
NLA course in AI masters
optimization-fivt
Lectures on optimization methods
optimization_course
A course on Optimization Methods
seminars-fivt
Seminars on optimization methods
amkatrutsa's Repositories
amkatrutsa/optimization_course
A course on Optimization Methods
amkatrutsa/optimization-fivt
Lectures on optimization methods
amkatrutsa/liboptpy
Implementation of various optimization methods
amkatrutsa/nla2019_ozon
NLA course in OZON Masters
amkatrutsa/seminars-fivt
Seminars on optimization methods
amkatrutsa/nla2020_ozon
Numerical linear algebra course in Ozon masters, Fall 2020
amkatrutsa/nla2022_masters
NLA course in AI masters
amkatrutsa/msu_intro_ds2021
Introduction to data science course
amkatrutsa/nla2023_masters
Numerical linear algebra course, AI Masters, Fall 2023
amkatrutsa/nla2021_ozon
Numerical linear algebra course for Ozon Masters program
amkatrutsa/cvx_opt_ozon_masters_spring2020
Materials for optimization class in OZON Masters, Spring 2020
amkatrutsa/cvx_opt_masters
Convex optimization course for AI (ex Ozon) Masters
amkatrutsa/SimRankLowrank
Implementation of the SimRank lowrank approximation
amkatrutsa/cet_opt_met
amkatrutsa/cvx_opt_sda2021
Convex optimization course in Yandex School of Data Analysis
amkatrutsa/nla2024_masters
Numerical linear algebra course, AI Masters, Fall 2024
amkatrutsa/edm
Equiangular direction method for multi-objective optimization
amkatrutsa/optimization-fupm
Lectures on introduction to convex analysis and convex optimization theory
amkatrutsa/cvx_opt_sda
Convex optimization course in Yandex School of Data Analysis
amkatrutsa/foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
amkatrutsa/opc
Data-driven optimal prediction with control
amkatrutsa/dl-opt
Tutorials on optimizers for deep neural networks
amkatrutsa/fast_pde_mit
18.336 - Fast Methods for Partial Differential and Integral Equations
amkatrutsa/nla4ai-minicourse
Four lectures on the synthesis of NLA and AI
amkatrutsa/NNTile
A neural network training framework within a task-based parallel programming paradigm
amkatrutsa/opt_modern_ai_ms
Optimization course for the online ms program "Modern state of AI"
amkatrutsa/or-tools
Google's Operations Research tools:
amkatrutsa/shift4sai_krylov
Practical shift choice for Shift-And-Invert method
amkatrutsa/sk_dl2024
Deep Learning Course, Skoltech, 2024
amkatrutsa/tmodel_mz
Solvers to build tmodel approximation of DMD with incomplete information