Pinned Repositories
algorithms-and-data-structures
Samples of code created during "Algorithms and data structures" YSDA course.
alternating_training
bayesian-methods
This directory contains codes of EM-algorithm and variational EM-algorithm.
CUDTBoost
Gradient boosting library based on CUDT-trees
deep_learning_spectral_functions
Application of deep learning for inversion of integral equations
dl_for_hmc
top secret
dl_for_VMC
Application of deep learning for VMC
nqs_frustrated_phase
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
Flexible and efficient code for DQMC and VQMC simulations
nikita-astronaut's Repositories
nikita-astronaut/nqs_frustrated_phase
nikita-astronaut/XQMC
Flexible and efficient code for DQMC and VQMC simulations
nikita-astronaut/algorithms-and-data-structures
Samples of code created during "Algorithms and data structures" YSDA course.
nikita-astronaut/bayesian-methods
This directory contains codes of EM-algorithm and variational EM-algorithm.
nikita-astronaut/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.
nikita-astronaut/alternating_training
nikita-astronaut/CUDTBoost
Gradient boosting library based on CUDT-trees
nikita-astronaut/deep_learning_spectral_functions
Application of deep learning for inversion of integral equations
nikita-astronaut/dl_for_hmc
top secret
nikita-astronaut/dl_for_VMC
Application of deep learning for VMC
nikita-astronaut/flux_insertion
Extended variational Ansatz with insertion of EM-flux
nikita-astronaut/klsh.ru
Здесь работают над новым сайтом КЛШ :-)
nikita-astronaut/klsh_pmt
The repository contains scripts for KLSH PMT
nikita-astronaut/kmeans-parallel
This code implements parallel version of iterative kMeans algorithm.
nikita-astronaut/lattice_optimization_game
nikita-astronaut/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.
nikita-astronaut/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.
nikita-astronaut/netket
Machine learning algorithms for many-body quantum systems
nikita-astronaut/neuro_emotions
Do Androids Dream of Electric Sheep?
nikita-astronaut/nqs-playground
PyTorch-based implementation of SR for NQS
nikita-astronaut/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.
nikita-astronaut/poliastro
poliastro - :rocket: Astrodynamics in Python
nikita-astronaut/poliastro-benchmarks
Benchmarks of the poliastro project
nikita-astronaut/poliastro.github.io
poliastro website
nikita-astronaut/pyrochlore
nikita-astronaut/QSL_at_QC
nikita-astronaut/rydberg_simulator
nikita-astronaut/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
nikita-astronaut/Universe_OA
nikita-astronaut/VMC_TBG