G-Ryzhakov

Moscow

Pinned Repositories

PROTES
Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format.
Language:Python29 4 02
fpcross
Solver in the low-rank tensor train format with cross approximation approach for the multidimensional Fokker-Planck equation
Language:Python12 3 01
teneva
A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
Language:Python44 2 32
CFM
TorchCFM с плюшками
Language:Python0 0 00
Constructive-TT
Code for constructive TT-representation of the tensors
Language:Jupyter Notebook4 1 00
COVID-19-BO-SIRX
BO for parameters of SEIR or SIR-X models
Language:Jupyter Notebook4 2 11
HTbb
Hierarchical Tucker for Black Box approximation and optimization
Language:Python50
test
Language:Jupyter Notebook0 1 00
test_binder
0 1 00
uq2019
Skoltech Uncertainty Quantification course
Language:Jupyter Notebook6 4 00

G-Ryzhakov's Repositories

G-Ryzhakov/uq2019
Skoltech Uncertainty Quantification course
Language:Jupyter Notebook6 4 00
G-Ryzhakov/HTbb
Hierarchical Tucker for Black Box approximation and optimization
Language:Python50
G-Ryzhakov/Constructive-TT
Code for constructive TT-representation of the tensors
Language:Jupyter Notebook4 1 00
G-Ryzhakov/COVID-19-BO-SIRX
BO for parameters of SEIR or SIR-X models
Language:Jupyter Notebook4 2 11
G-Ryzhakov/CFM
TorchCFM с плюшками
Language:Python0 0 00
G-Ryzhakov/test
Language:Jupyter Notebook0 1 00
G-Ryzhakov/test_binder
0 1 00