Kiril Zelenkovski 's repositories
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.
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.
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.
RiemannGarbageBin
Student paper "Riemann Garbage Bin: A Self-sustained Waste Management System" [CIIT, 2018]
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.
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
stochastic_processes_python
Generate realizations of stochastic processes in Python
3Dream_book
A Jupyter Book that contains figures for the 3DREAM research paper (original code in Python3).
compass-operator
Results from Python implementation of a compass operator for edge detection
COVID-19_book
A Jupyter Book (v0.6.4) containing interactive plots related to modeling and simulation of pandemics, COVID-19. Curve Fitting for Italy [last update August-2020]
dash_heroku
Deploy a Dash application to Heroku through actions.
FCSE-courses
Repos full of materials, projects, exercises and bunch of notebooks from my CS courses; UKIM, Faculty of Computer Science and Engineering - Skopje [2016-2021]
FCSE-Image-Processing
Research for Image Processing course [UKIM, Faculty of Computer Science and Engineering - Skopje, 2021]
FCSE-Modeling-and-Simulation
Research for Modeling and Simulation course [UKIM, Faculty of Computer Science and Engineering - Skopje, 2021]
heroku_streamlit_nginx
Example project showing how to host multiple streamlit apps on Heroku behind a nginx proxy with authentication
ICTP_smr-3696
Repository for ICTP SMR 3696 event: 9th Workshop on Collaborative Scientific Software Development and Management of Open Source Scientific Packages
matplotlib-latex-dockerfile
Dockerfile for creating LaTeX plots in Python with the library Matplotlib
mlops-zoomcamp
Free MLOps course from DataTalks.Club
mri-course
Jupyter-book for interactive MRI course (Julia: 1.4.1; Python: 3.7)
mri-materials
Docker file for MRI online course (Julia + Python)
ou_subordinator
Python simulations for CTRWs Ornstein-Uhlenbeck process with different stability index
sierpinski_gasket_graph
Python visualization of Sierpinski Gasket Graph; Adjacency matrix is generated in Wolfram than the network is further explored in Python
t1_book_update
Updating t1 book with v 0.10.0. The first attempt failed with the newest version
t1_equations
LaTeX equations for T1 book