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Nikita Astrakhantsev's Projects

bayesian-methods icon bayesian-methods

This directory contains codes of EM-algorithm and variational EM-algorithm.

cudtboost icon cudtboost

Gradient boosting library based on CUDT-trees

klsh.ru icon klsh.ru

Здесь работают над новым сайтом КЛШ :-)

klsh_pmt icon klsh_pmt

The repository contains scripts for KLSH PMT

kmeans-parallel icon kmeans-parallel

This code implements parallel version of iterative kMeans algorithm.

markov-chain-text icon markov-chain-text

This code was written as a part of YSDA python course. Using stat.py file one extracts information about 2-word-gramms and 3-word-gramms in English language. Using them, one generates new text as the Makrov process.

mipt_train icon mipt_train

This code was written a long-long time ago. This is the Android-4 application that reads suburban Moscow trains schedule from the site of Russian Railways and represents it in the format convenient for the students of Moscow Institute of Physics and Technology.

netket icon netket

Machine learning algorithms for many-body quantum systems

parallel_mpi_gameoflife icon parallel_mpi_gameoflife

This code was written as a part of Parallel computing YSDA course. Using the MPI the parallel version of Game Of Life was created. The square field is divided into N^2 smaller squares at every iteration and any process is responsible for its square. At the end of recomputation, processors share information about their boundaries with their neighbours.

poliastro icon poliastro

poliastro - :rocket: Astrodynamics in Python

split-learning-1d icon split-learning-1d

Data61' CSIRO Distributed System Security Group. We have developed this algorithm to explore the question - Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training? The work has been accepted in asiaccs 2020

telegram_bot_query icon telegram_bot_query

This simple bot was written as a part of YSDA python course. Given any query, it redirects it to google.com and returns 10 most relevant links.

xqmc icon xqmc

Flexible and efficient code for DQMC and VQMC simulations

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