Kiril Zelenkovski (@zelenkastiot)
github

zelenkastiot

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Top repositories

1

PhaseUnwrapping_book

A Jupyter Book (v0.6.4) that contains figures for the Phase-unwrapping research paper (written in Julia). First author Nan-kuei Chen and second author Pei-Hsin Wu, report a new postprocessing procedure that uses Fourier‐domain data analyses to improve the accuracy and reliability of phase unwrapping for MRI data of low SNR.
HTML
6
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2

brownian

Project funded by DFG. A jupyter-book that explores mearly a chunk of the field of nonlinear dynamics, specifically diffusion and random search in heterogeneous media. The book has various simulations for the stochastic process known as Brownian motion. The motion dynamics are simulated by solving the Langevin equation numerically for the different initial parameters. After an ensemble finishes, the trajectories of Brownian particles together with the probability density function and the mean square displacement are plotted. The book has chapters on Brownian search, Backbone problems, and Stochastic resetting.
Jupyter Notebook
5
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3

s-gene-mutations-SARS-CoV-2

Processing GISAID SARS-CoV-2 emerging variants data and generating a language model using Transformers. The model semantically captures masked glycoprotein amino acid mutations in emerging variants of the SARS-CoV2-virus and gives appropriate scores for each potential aa change.
Jupyter Notebook
4
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4

julia1.4.1-docker-test

Playground Docker environment for running Script of Scripts Jupyter notebooks (Julia v.1.4.1 + R + Python3+Plotly) + GitHub actions automatic Binder build
Jupyter Notebook
4
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5

RiemannGarbageBin

Student paper "Riemann Garbage Bin: A Self-sustained Waste Management System" [CIIT, 2018]
C
3
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6

bio_lab

A Jupyter book (v0.10.0) with Python (3.7) notebooks elaborating course exercises, solutions, and research for Bioinformatics course [Faculty of Computer Science and Engineering - Skopje, 2021]
HTML
2
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7

test

Project funded by DFG. A jupyter-book that explores mearly a chunk of the field of nonlinear dynamics, specifically diffusion and random search in heterogeneous media. The book has various simulations for the stochastic process known as Brownian motion. The motion dynamics are simulated by solving the Langevin equation numerically for the different initial parameters. After an ensemble finishes, the trajectories of Brownian particles together with the probability density function and the mean square displacement are plotted. The book has chapters on Brownian search, Backbone problems, and Stochastic resetting.
Jupyter Notebook
2
star
8

Phase_book

A Jupyter Book (v0.10.0) that contains figures for the Phase-unwrapping research paper (written in Julia). First author Nan-kuei Chen and last author Pei-Hsin Wu, report a new postprocessing procedure that uses Fourier‐domain data analyses to improve the accuracy and reliability of phase unwrapping for MRI data of low SNR.
Jupyter Notebook
2
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9

zelenkastiot

Python
1
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10

sos-binder-octave-py

Binder environment for running Script of Scripts Jupyter notebooks (Octave+Python3+Plotly)
Dockerfile
1
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11

Covid19-Herd-immunity

A Jupyter book (v0.10.0) with Python (3.7) simulations related to COVID-19 spreading, SIR models, and herd immunity. Project for Modelling and Simulation course [Faculty of Computer Science and Engineering - Skopje, 2020] ~ MKD version
Jupyter Notebook
1
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12

dash_brownian

A dashboard that simulates the Brownian motion stochastic process. The motion is simulated by solving the Langevin equation numerically for the different initial parameters. After an ensemble finishes, the trajectories of Brownian particles together with the probability density function and the mean square displacement are plotted. There is also an option of comparing the analytical with simulations results.
Python
1
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13

FCSE-Digital-Signal-Processing

Research for Digital Signal Processing course [UKIM, Faculty of Computer Science and Engineering - Skopje, 2020]
HTML
1
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