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Vinko Kodžoman's Projects

ansiweather icon ansiweather

Weather in your terminal, with ANSI colors and Unicode symbols

azul icon azul

Implementation of Azul board game as an environment for training RL agents.

book_problems icon book_problems

Book: Problem Solving with Algorithms and Data Structures using Python

cards icon cards

Cards module created in elixir.

competition icon competition

Codes used in competitions (sites like Sphere Online Judge...)

fastai icon fastai

The fastai deep learning library, plus lessons and and tutorials

fm-index icon fm-index

A FM index implementation in C made by Zoran Krišto and Vinko Kodžoman. The index supports 3 versions of the FM index by using the different method for rank queries (Matrix, Wavelet Tree 8 byte code, Wavelet Tree bit code). The Suffix Array is constructed by using the libdivsufsort library.

gtengine icon gtengine

Graphic development following a graphics tutorial. Main focus is the GTEngine as well as games using it.

hello_app icon hello_app

First app in the rails tutorial from https://www.railstutorial.org/book.

keras-cake icon keras-cake

Collection of community written Keras Layers based on research papers with examples.

machine-learning-university-of-washington icon machine-learning-university-of-washington

All code used in the Machine Learning specialization from Coursera at https://www.coursera.org/specializations/machine-learning. Assignments are done with jupyter using scikit learn.

my-personal-webpage icon my-personal-webpage

This application was started by following Ruby on Rails Tutorial: Learn Web Development with Rails written by Michael Hartl. The goal is to make a blog website.

one-hump-iterator-visualization icon one-hump-iterator-visualization

Program for one hump iterator visualization. Allows the user to pick a one hump iterator and change the r value while visualizing the result. Four compositions of the iterator are shown to indicate fixed points inheritance between iterator composition. The leading iterator composition is always shown as the thickest line in the graph. Watch how every time a function loses its stability the next iterator composition takes over.

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