Pinned Repositories
COMBSS-R-VIGNETTE
SSA-MAPS-DL
MATHEMATICAL ENGINEERING OF DEEP LEARNING - PART ONE FOUNDATIONS
COMBSS-Python-VIGNETTE
The COMBSS algorithm in Python for best subset selection for a linear regression model.
DL-Workshop-Part1
Content in this are used for running the workshop on mathematical engineering of deep learning part 1 fundamentals
googlecolab
codes written in google colab
PerfectSampling_HardSpheres
This repository contains python codes for the dominated CFTP algorithm and a naive AR algorithm, and a C program for importance Sampling based AR algorithm.
PRS_with_DCFTP
This repository consists of python codes for perfect sampling using partial rejection sampling (PRS) proposed by Moka and Kroese (2019). This method combines discrete PRS of Guo et al. (2017) and dominated coupling from the past (DCFTP).
saratmoka.com
Sarat Moka's homepage
ZZSC5836
saratmoka's Repositories
saratmoka/PRS_with_DCFTP
This repository consists of python codes for perfect sampling using partial rejection sampling (PRS) proposed by Moka and Kroese (2019). This method combines discrete PRS of Guo et al. (2017) and dominated coupling from the past (DCFTP).
saratmoka/COMBSS-Python-VIGNETTE
The COMBSS algorithm in Python for best subset selection for a linear regression model.
saratmoka/DL-Workshop-Part1
Content in this are used for running the workshop on mathematical engineering of deep learning part 1 fundamentals
saratmoka/googlecolab
codes written in google colab
saratmoka/PerfectSampling_HardSpheres
This repository contains python codes for the dominated CFTP algorithm and a naive AR algorithm, and a C program for importance Sampling based AR algorithm.
saratmoka/saratmoka.com
Sarat Moka's homepage
saratmoka/ZZSC5836